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Zang Y, Xu W, Qiu Y, Gong D, Fan Y. Baseline functioning scales of quality of life (EORTC QLQ-C30) as a predictor of overall survival in patients with lung cancer: a meta-analysis. Support Care Cancer 2025; 33:366. [PMID: 40205267 DOI: 10.1007/s00520-025-09413-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 03/26/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND Studies have shown inconsistent associations between quality of life (QoL) and survival in patients with lung cancer (LC). OBJECTIVE To assess the association between baseline functioning scales from the EORTC QoL Questionnaire Core 30 (QLQ-C30) and overall survival in patients with LC by conducting a meta-analysis. METHODS Two independent authors searched PubMed and Embase databases using the following PECOS criteria: population (patients with pathological diagnosis of LC), exposure (poor health-related QoL, as measured by the functioning scales of EORTC QLQ-C30), comparator (better QoL), outcomes (overall survival), and study design (cohort studies). RESULTS Sixteen studies with 9429 patients were identified. Compared to the highest scores, the lowest scores on the global QoL (hazard ratios [HR] 1.59; 95% confidence intervals [CI] 1.38-1.84), physical functioning (HR 1.58; 95% CI 1.24-2.03), role functioning (HR 1.43; 95% CI 1.19-1.73), and emotional functioning (HR 1.29; 95% CI 1.05-1.60) scales significantly predicted poorer overall survival. A 10-point increase in the global QoL, physical functioning, and role functioning scales was associated with a reduced risk of mortality (HR 0.87; 95% CI 0.84-0.91, HR 0.88; 95% CI 0.85-0.92, and HR 0.93; 95% CI 0.87-0.99, respectively). However, 10-point increases in the emotional functioning (HR 0.97; 95% CI 0.92-1.01), cognitive functioning (HR 0.97; 95% CI 0.95-1.00), and social functioning (HR 0.95; 95% CI 0.90-1.01) scales did not significantly predict overall survival. CONCLUSIONS Baseline QoL, specifically lower scores on the global QoL, physical functioning, and role functioning scales of the EORTC QLQ-C30, significantly predicts poorer overall survival in patients with LC.
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Affiliation(s)
- Ye Zang
- Department of Oncology, The People'S Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Danyang, 212399, China
| | - Wei Xu
- Cancer Institute, the Affiliated People'S Hospital, Jiangsu University, No. 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China
| | - Yue Qiu
- Cancer Institute, the Affiliated People'S Hospital, Jiangsu University, No. 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China
| | - Dandan Gong
- Cancer Institute, the Affiliated People'S Hospital, Jiangsu University, No. 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China.
| | - Yu Fan
- Cancer Institute, the Affiliated People'S Hospital, Jiangsu University, No. 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China.
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Lim L, Machingura A, Taye M, Pe M, Coens C, Martinelli F, Alanya A, Antunes S, Tu D, Basch E, Ringash J, Brandberg Y, Groenvold M, Eggermont A, Cardoso F, Van Meerbeeck J, Koller M, Van der Graaf WT, Taphoorn MJ, Koekkoek JA, Reijneveld JC, Soffietti R, Velikova G, Bottomley A, Flechtner H, Musoro J, EORTC Quality of Life Group, Brain Tumour Group, Breast Cancer Group, Melanoma Group, Lung Cancer Group, Soft Tissue and Bone Sarcoma Group, Radiation Oncology Group, Lymphoma Group, Gastrointestinal Tract Cancer Group, Head and Neck Cancer Group, Genito-Urinary Cancer Group, Gynaecological Cancer Group. Prognostic value of baseline EORTC QLQ-C30 scores for overall survival across 46 clinical trials covering 17 cancer types: a validation study. EClinicalMedicine 2025; 82:103153. [PMID: 40201799 PMCID: PMC11976232 DOI: 10.1016/j.eclinm.2025.103153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 02/20/2025] [Accepted: 02/26/2025] [Indexed: 04/10/2025] Open
Abstract
Background A pooled data analysis by Quinten et al. (2009) found three European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) health-related quality of life (HRQoL) scales to be prognostic for survival: physical functioning, pain and appetite loss. This study aims to replicate these findings in an independent data set comprising a broader cancer population. Methods Data were obtained from 46 clinical trials across three cancer research networks conducted between 1996 and 2013 that assessed HRQoL using the EORTC QLQ-C30. A stratified Cox proportional hazards model was employed to assess the prognostic significance of baseline QLQ-C30 scale scores on overall survival, adjusting for socio-demographic and clinical variables. Stepwise model selection was done at 5% significance level. Model stability and prognostic accuracy were evaluated via bootstrapping and the C index respectively. Findings Data from 16,210 patients reporting HRQoL at baseline, spanning 17 cancer types, was used. The stratified multivariable model confirmed that better physical functioning (hazard ratio [HR], 0.94; 95% confidence interval [CI], 0.93-0.96), lower pain (HR, 1.02; 95% CI, 1.01-1.03), and appetite loss (HR, 1.04; 95% CI, 1.03-1.05) were significantly associated with survival. Additionally, global health status/QoL, dyspnoea, emotional and cognitive functioning were found to be prognostic for survival. This final model, encompassing sociodemographic, clinical, and HRQoL variables, achieved a corrected C index of 0.74, marking a 48% enhancement in discriminatory ability. Bootstrap evaluation indicated no major instability issues. Interpretation These results support previous findings that baseline physical functioning, pain, and appetite loss scores, along with four other scales from the EORTC QLQ-C30, predict survival in cancer patients. Funding EORTC Quality of Life Group.
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Affiliation(s)
- Luigi Lim
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Abigirl Machingura
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Mekdes Taye
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
| | - Madeline Pe
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Corneel Coens
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Francesca Martinelli
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Ahu Alanya
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Stéphanie Antunes
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Dongsheng Tu
- Canadian Cancer Trials Group, Queen's University, Canada
| | - Ethan Basch
- Lineberger Comprehensive Cancer Center, UNC, USA
| | - Jolie Ringash
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
| | | | - Mogens Groenvold
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
| | - Alexander Eggermont
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
| | | | - Michael Koller
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Winette T.A. Van der Graaf
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
| | - Martin J.B. Taphoorn
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
| | - Johan A.F. Koekkoek
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
| | - Jaap C. Reijneveld
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
| | | | - Galina Velikova
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
| | - Andrew Bottomley
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
| | - Henning Flechtner
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Jammbe Musoro
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - EORTC Quality of Life Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Brain Tumour Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Breast Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Melanoma Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Lung Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Soft Tissue and Bone Sarcoma Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Radiation Oncology Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Lymphoma Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Gastrointestinal Tract Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Head and Neck Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Genito-Urinary Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
| | - Gynaecological Cancer Group
- European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium
- Formerly European Organisation for Research and Treatment of Cancer (EORTC) HQ, Brussels, Belgium
- Princess Margaret Cancer Centre and the University of Toronto, Canada
- Canadian Cancer Trials Group, Queen's University, Canada
- Department of Child and Adolescent Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Department of Oncology-Pathology, Karolinska Institutet, Sweden
- Department of Public Health, University of Copenhagen and Palliative Care Research Unit, Bispebjerg/Frederiksberg Hospital, Denmark
- Princess Máxima Center, Utrecht and University Medical Center Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University Munich and the Ludwig Maximiliaan University, Munich, Germany
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
- Antwerp University and Antwerp University Hospital, Edegem, Belgium
- Department of Medical Oncology, Netherlands Cancer Institute Amsterdam, the Netherlands
- Department of Medical Oncology Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, the Netherlands
- Lineberger Comprehensive Cancer Center, UNC, USA
- Leiden University Medical Center and Haaglanden Medical Center, The Hague, the Netherlands
- Azienda Ospedaliera, Universita di Torino, Italy
- Department of Neurology, Amsterdam University Medical Centre, Amsterdam, Netherlands & Sein, Heemstede, the Netherlands
- Leeds Institute of Medical Research at St James's University, University of Leeds and Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, St James’s University Hospital, Leeds, UK
- Center for Clinical Studies, University Hospital Regensburg, Regensburg, Germany
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Liu YY, Zhao Y, Yin YY, Cao HP, Lu HB, Li YJ, Xie J. Effects of transitional care interventions on quality of life in people with lung cancer: A systematic review and meta-analysis. J Clin Nurs 2024; 33:1976-1994. [PMID: 38450810 DOI: 10.1111/jocn.17092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 12/08/2023] [Accepted: 01/07/2024] [Indexed: 03/08/2024]
Abstract
AIM To identify and appraise the quality of evidence of transitional care interventions on quality of life in lung cancer patients. BACKGROUND Quality of life is a strong predictor of survival. The transition from hospital to home is a high-risk period for patients' readmission and death, which seriously affect their quality of life. DESIGN Systematic review and meta-analysis. METHODS The PubMed, Embase, Cochrane Library, Web of Science and CINAHL databases were searched from inception to 22 October 2022. The primary outcome was quality of life. Statistical analysis was conducted using Review Manager 5.4, results were expressed as standard mean difference (SMD) with a 95% confidence interval (CI). The risk of bias of the included studies was assessed using the Cochrane risk of bias assessment tool. This study was complied with PRISMA guidelines and previously registered in PROSPERO (CRD42023429464). RESULTS Fourteen randomized controlled trials were included consisting of a total of 1700 participants, and 12 studies were included in the meta-analysis. It was found that transitional care interventions significantly improved quality of life (SMD = 0.21, 95% CI: 0.02 to 0.40, p = .03) and helped reduce symptoms (SMD = -0.65, 95% CI: -1.13 to -0.18, p = .007) in lung cancer patients, but did not significantly reduce anxiety and depression, and the effect on self-efficacy was unclear. CONCLUSIONS This study shows that transitional care interventions can improve quality of life and reduce symptoms in patients, and that primarily educational interventions based on symptom management theory appeared to be more effective. But, there was no statistically significant effect on anxiety and depression. RELEVANCE TO CLINICAL PRACTICE This study provides references for the application of transitional care interventions in the field of lung cancer care, and encourages nurses and physicians to apply transitional care plans to facilitate patients' safe transition from hospital to home. PATIENT OR PUBLIC CONTRIBUTION No Patient or Public Contribution.
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Affiliation(s)
- Yan-Yan Liu
- School of Nursing, Jilin University, Changchun, Jilin Province, PR China
| | - Yong Zhao
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin Province, PR China
| | - Ying-Ying Yin
- Department of Orthopaedics, Xijing Hospital the Air Force Medical University, Xi'an City, Shaanxi Province, PR China
| | - Hui-Ping Cao
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin Province, PR China
| | - Han-Bing Lu
- School of Nursing, Jilin University, Changchun, Jilin Province, PR China
| | - Ya-Jie Li
- School of Nursing, Jilin University, Changchun, Jilin Province, PR China
| | - Jiao Xie
- School of Nursing, Jilin University, Changchun, Jilin Province, PR China
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Tournoy KG, Adam V, Muylle I, De Rijck H, Everaert E, Eqlimi E, van Meerbeeck JP, Vercauter P. Health Outcomes with Curative and Palliative Therapies in Real World: Role of the Quality of Life Summary Score in Thoracic Oncology Patients. Cancers (Basel) 2023; 15:3821. [PMID: 37568637 PMCID: PMC10417517 DOI: 10.3390/cancers15153821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/23/2023] [Accepted: 07/23/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND For patients receiving therapy with curative or palliative intent for a thoracic malignancy, prediction of quality of life (QOL), once therapy starts, remains challenging. The role of health assessments by the patient instead of the doctor herein remains ill-defined. AIMS To assess the evolution of QOL in patients with thoracic malignancies treated with curative and palliative intent, respectively. To identify factors that determine QOL one year after the start of cancer therapy. To identify factors that affect survival. METHODS We prospectively included consecutive patients with a thoracic malignancy who were starting anti-cancer therapy and measured QOL with QLQ-C30 before the start of therapy, and thereafter at regular intervals for up to 12 months. A multivariate regression analysis of the global health score (GHS) and QOL summary scores (QSS) one year after the start of therapy was conducted. A proportional hazards Cox regression was conducted to investigate the effects of case-mix variables on survival. RESULTS Of 587 new patients, 375 started different forms of therapy. Most had non-small cell lung cancer (n = 298), 35 had small cell lung cancer, and 42 had other thoracic malignancies or were diagnosed on imaging alone. There were 203 who went for a curative intent and 172 for a palliative intent strategy. The WHO score of 0-1 was more prevalent in the former group (p = 0.02), and comorbidities were equally distributed. At baseline, all QOL indices were better in the curative group (p < 0.05). The curative group was characterized by a significant worsening of GHS and QSS (p < 0.05). The palliative group was characterized by an improvement in GHS and emotional health (p < 0.05), while other dimensions of functioning remained stable. GHS at 12 months was estimated in a multivariate linear regression model (R2 = 0.23-p < 0.001) based on baseline GHS, QSS, and comorbidity burden. QSS at 12 months was estimated (R2 = 0.31-p < 0.001) by baseline QSS and therapeutic intent strategy (curative vs. palliative). The prognostic factors for overall survival were the type of therapy (curative vs. palliative intent, p < 0.001) and occurrence of early toxicity-related hospitalization (grade ≥ 3, p = 0.001). CONCLUSION Patients with thoracic malignancies treated with curative intent experience a worsening of their QOL in the first year, whereas those receiving palliative anti-cancer therapy do not. QOL one year after the start of therapy depends on the baseline health scores as determined by the patient, comorbidity burden, and therapeutic strategy. Survival depends on therapeutic strategy and early hospitalization due to toxicity.
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Affiliation(s)
- Kurt G. Tournoy
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
- Faculty of Medicine and Life Sciences, Ghent University, 9000 Ghent, Belgium
| | - Valerie Adam
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
| | - Inge Muylle
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
| | - Helene De Rijck
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
| | - Ellen Everaert
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
| | - Ehsan Eqlimi
- Clinical Trial Center and Center of Biostatistics, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium;
| | - Jan P. van Meerbeeck
- Department of Respiratory Medicine, Antwerp University Hospital, 2650 Edegem, Belgium;
| | - Piet Vercauter
- Department of Respiratory Medicine, Onze-Lieve Vrouw Ziekenhuis, 9300 Aalst, Belgium; (V.A.); (I.M.); (H.D.R.); (E.E.); (P.V.)
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5
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Couderc AL, Bouhnik AD, Rey D, Bendiane MK, Greillier L, Nouguerède É, Pille A, Montegut C, Rousseau F, Villani P, Mancini J. Quality of life in older French long-term lung cancer survivors: VICAN5 national survey. Lung Cancer 2023; 180:107197. [PMID: 37116376 DOI: 10.1016/j.lungcan.2023.107197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 04/30/2023]
Abstract
OBJECTIVES This study aimed to describe quality of life (QoL) five years after diagnosis, in a representative sample of lung cancer (LC) survivors, to compare the QoL of survivors aged 70 years or older with that of younger ones, and to identify factors associated with poorer long-term QoL in both age groups. MATERIALS AND METHODS Our study sample consists of all individuals with a LC diagnosed between January 2010 and December 2011, who participated in the French national survey VICAN 5. RESULTS A total of 371 participants had LC. At the time of the survey, 21.3% of the participants were 70 years or older. In this older age group, feeling self-conscious about appearance and suspected neuropathic pain were independently associated with physical QoL impairment and lower Post-Traumatic Growth Inventory score, and suspected neuropathic pain was associated with impaired mental QoL. In younger patients, impaired physical QoL was independently associated with male gender, metastatic cancer, suspected neuropathic pain, report of severe after-effects of LC and difficulty breathing at rest in the past 7 days, and impaired mental QoL was independently associated with male gender, impaired ECOG-PS, and anxiety. CONCLUSION Factors associated with an impaired QoL in LC survivors, varied according to patient age. In both populations, psychological support and adapted physical activity can be offered to improve mental QoL and physical symptomatology. For older survivors with neuropathic pain, analgesic therapies can be discussed to improve long-term QoL.
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Affiliation(s)
- Anne-Laure Couderc
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France.
| | - Anne-Déborah Bouhnik
- Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Economics & Social Sciences Applied to Health & Analysis of Medical Information, Marseille, France
| | - Dominique Rey
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Marc-Karim Bendiane
- Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Economics & Social Sciences Applied to Health & Analysis of Medical Information, Marseille, France
| | - Laurent Greillier
- Multidisciplinary Oncology and Therapeutic Innovations Department, AP-HM, Marseille, France; Aix-Marseille Univ, CNRS, INSERM, CRCM, Marseille, France
| | - Émilie Nouguerède
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France
| | - Ariane Pille
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France
| | - Coline Montegut
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France; Oncology Department, Institut Paoli Calmettes, Marseille, France
| | | | - Patrick Villani
- Internal Medicine, Geriatrics and Therapeutic Unit, AP-HM, Marseille, France; Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - Julien Mancini
- Aix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, Economics & Social Sciences Applied to Health & Analysis of Medical Information, Marseille, France; APHM, BIOSTIC, Hop Timone, Marseille, France
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6
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Liao K, Wang T, Coomber-Moore J, Wong DC, Gomes F, Faivre-Finn C, Sperrin M, Yorke J, van der Veer SN. Prognostic value of patient-reported outcome measures (PROMs) in adults with non-small cell Lung Cancer: a scoping review. BMC Cancer 2022; 22:1076. [PMID: 36261794 PMCID: PMC9580146 DOI: 10.1186/s12885-022-10151-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/08/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND There is growing interest in the collection and use of patient-reported outcome measures (PROMs) to support clinical decision making in patients with non-small cell lung cancer (NSCLC). However, an overview of research into the prognostic value of PROMs is currently lacking. AIM To explore to what extent, how, and how robustly the value of PROMs for prognostic prediction has been investigated in adults diagnosed with NSCLC. METHODS We systematically searched Medline, Embase, CINAHL Plus and Scopus for English-language articles published from 2011 to 2021 that report prognostic factor study, prognostic model development or validation study. Example data charting forms from the Cochrane Prognosis Methods Group guided our data charting on study characteristics, PROMs as predictors, predicted outcomes, and statistical methods. Two reviewers independently charted the data and critically appraised studies using the QUality In Prognosis Studies (QUIPS) tool for prognostic factor studies, and the risk of bias assessment section of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) for prognostic model studies. RESULTS Our search yielded 2,769 unique titles of which we included 31 studies, reporting the results of 33 unique analyses and models. Out of the 17 PROMs used for prediction, the EORTC QLQ-C30 was most frequently used (16/33); 12/33 analyses used PROM subdomain scores instead of the overall scores. PROMs data was mostly collected at baseline (24/33) and predominantly used to predict survival (32/33) but seldom other clinical outcomes (1/33). Almost all prognostic factor studies (26/27) had moderate to high risk of bias and all four prognostic model development studies had high risk of bias. CONCLUSION There is an emerging body of research into the value of PROMs as a prognostic factor for survival in people with NSCLC but the methodological quality of this research is poor with significant bias. This warrants more robust studies into the prognostic value of PROMs, in particular for predicting outcomes other than survival. This will enable further development of PROM-based prediction models to support clinical decision making in NSCLC.
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Affiliation(s)
- Kuan Liao
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
| | - Tianxiao Wang
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Jake Coomber-Moore
- Patient-Centred Research Centre, The Christie NHS Foundation Trust, Manchester, UK
| | - David C Wong
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Department of Computer Science, University of Manchester, Manchester, UK
| | - Fabio Gomes
- Medical Oncology Department, The Christie NHS Foundation Trust, Manchester, UK
| | - Corinne Faivre-Finn
- The Christie NHS foundation Trust, Manchester, UK
- Division of Cancer Science, The University of Manchester, Manchester, UK
| | - Matthew Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Janelle Yorke
- Patient-Centred Research Centre, The Christie NHS Foundation Trust, Manchester, UK
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - Sabine N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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Clustering of EORTC QLQ-C30 health-related quality of life scales across several cancer types: Validation study. Eur J Cancer 2022; 170:1-9. [DOI: 10.1016/j.ejca.2022.03.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/18/2022] [Accepted: 03/30/2022] [Indexed: 11/19/2022]
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8
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Granger CL, Cavalheri V. Clinimetrics: The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 questionnaire. J Physiother 2022; 68:146. [PMID: 34872872 DOI: 10.1016/j.jphys.2021.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 07/14/2021] [Indexed: 11/25/2022] Open
Affiliation(s)
- Catherine L Granger
- Department of Physiotherapy, The University of Melbourne, Melbourne, Australia; Department of Physiotherapy, The Royal Melbourne Hospital, Melbourne, Australia
| | - Vinicius Cavalheri
- Curtin School of Allied Health, Curtin University, Perth, Australia; Allied Health Service, South Metropolitan Health Service, Perth, Australia
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Liu J, Ma Y, Gao R, Liu X, Wang Y, Yu J, Zhan J, Huang Y, Qin H, Zhang L. Prognostic effects of health-related quality of life at baseline and early change in health-related quality of life on response to treatment and survival in patients with advanced lung cancer: a prospective observational study in China. BMJ Open 2022; 12:e047611. [PMID: 35165103 PMCID: PMC8845204 DOI: 10.1136/bmjopen-2020-047611] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVES To investigate the relationship among baseline health-related quality of life (HRQoL), early changes in HRQoL from baseline to completion of the first cycle of chemotherapy, and prognosis in patients with advanced lung cancer. DESIGN This was a prospective, observational study. SETTING The study was conducted in a national cancer centre in South China. PARTICIPANTS A total of 243 patients with chemo-naïve with advanced lung cancer were enrolled. INTERVENTION None. PRIMARY AND SECONDARY OUTCOME MEASURES The Functional Assessment of Cancer Therapy-Lung was used to assess HRQoL at baseline and at the end of the first cycle of chemotherapy. The Trial Outcome Index (TOI) and Lung Cancer Scale (LCS) were calculated as predictive indicators. Response to treatment was evaluated as per the Response Evaluation Criteria in Solid Tumors (RECIST) V.1.1. Survival data were gathered from follow-up to September 2019. RESULTS Patients with 5-point or greater decreases in TOI (65% vs 48%, adjusted risk ratio (aRR)=2.19, 95% CI 1.09 to 4.41) or 2-point or greater decreases in LCS (72% vs 48%, aRR=3.29, 95% CI 1.50 to 7.22) from baseline to completion of the first cycle of chemotherapy were more likely to show stable or progressive disease than those whose HRQoL had improved. Baseline TOI ≤54 (80.0% vs 69.9%, adjusted hazard risk (aHR)=1.36, 95% CI 1.01 to 1.84) and LCS ≤21 (77.6% vs 72.5%, aHR=1.36, 95% CI 1.01 to 1.83) were associated with higher risk for death compared with TOI>54 and LCS>21. Area under the curve analysis indicated that early changes in LCS and baseline LCS scores could better predict response to treatment and overall survival than the corresponding TOI values. CONCLUSIONS Higher pretreatment HRQoL scores could predict longer survival, while declining HRQoL values could predict unfavourable treatment outcome among patients with advanced lung cancer. The use of the LCS is recommended for the routine collection of patient-reported HRQoL. TRIAL REGISTRATION NUMBER NCT01914120.
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Affiliation(s)
- Jiali Liu
- Department of Nursing, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yuxiang Ma
- Department of Clinical Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ruizhen Gao
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Xia Liu
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Yalan Wang
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Juan Yu
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Jianhua Zhan
- Department of Clinical Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yan Huang
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Huiyin Qin
- Department of Nursing, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Zhang
- Department of Medical oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
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Ha DM, Prochazka AV, Bekelman DB, Stevens-Lapsley JE, Studts JL, Keith RL. Modifiable factors associated with health-related quality of life among lung cancer survivors following curative intent therapy. Lung Cancer 2022; 163:42-50. [PMID: 34896804 DOI: 10.1016/j.lungcan.2021.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/27/2021] [Accepted: 11/22/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The number of lung cancer survivors is increasing along with advances in screening, diagnosis, and treatment. Following curative intent therapy, many lung cancer survivors experience significant health-related quality of life (HRQL) impairments. We sought to identify potentially modifiable factors that contribute to the HRQL of these patients. MATERIALS AND METHODS In this cross-sectional observational study of disease-free, stage I-IIIA lung cancer survivors following curative intent therapy, we used a conceptual model to examine factors that included behavioral, objective functional and physiologic, self-rated function and symptom burden, specific comorbidities, and non-modifiable demographic and clinical lung cancer-related characteristics. We assessed HRQL using the valid and prognostic European Organization for Research and Treatment of Cancer Quality of Life (QoL) Core 30 global health/QoL subscale. We used univariable and multivariable linear regression modeling with backward elimination of potentially modifiable and non-modifiable factors, and interpreted clinically and statistically significant, consistent, and independent modifiable factors as meaningful. RESULTS Among 75 participants at a median of 12 months since treatment completion, the mean (standard deviation) C30 global health/QoL score was 62.7 (23.3) points (0-100 scale range). In multivariable analysis, with and without non-modifiable factors, we identified three clinically and statistically significant, consistent, and independent factors (unstandardized β range) associated with global health/QoL: 1) abnormal exercise-induced dyspnea (-9.23 to -10.0 points); 2) impaired self-rated role function (or inability to perform work or daily activities and pursuing leisure-time activities) (-12.6 to -16.4 points); and 3) abnormal insomnia (or trouble sleeping) (-12.6 to -16.4 points). CONCLUSION We identified meaningful modifiable factors associated with the HRQL of disease-free, stage I-IIIA lung cancer survivors following curative intent therapy. Interventions to improve the HRQL of these patients should aim to reduce exercise-induced dyspnea, improve role function - the ability to perform work and other daily including leisure-time activities, and control insomnia.
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Affiliation(s)
- Duc M Ha
- Medical Service, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States; Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, United States; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
| | - Allan V Prochazka
- Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - David B Bekelman
- Medical Service, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States; Division of General Internal Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Denver-Seattle Center of Innovation, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
| | - Jennifer E Stevens-Lapsley
- Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Geriatric Research, Education, and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
| | - Jamie L Studts
- Cancer Prevention and Control, University of Colorado Cancer Center, Aurora, CO, United States; Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Robert L Keith
- Medical Service, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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11
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Joseph J, Rani R, Dhankhar R. Brief psychological intervention among treatment-seeking cancer patients: A randomized controlled trial. MEDICAL JOURNAL OF DR. D.Y. PATIL VIDYAPEETH 2022. [DOI: 10.4103/mjdrdypu.mjdrdypu_319_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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12
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Armbrust R, Richter R, Woopen H, Hilpert F, Harter P, Sehouli J. Impact of health-related quality of life (HRQoL) on short-term mortality in patients with recurrent ovarian, fallopian or peritoneal carcinoma (the NOGGO-AGO QoL Prognosis-Score-Study): results of a meta-analysis in 2209 patients. ESMO Open 2021; 6:100081. [PMID: 33743329 PMCID: PMC8010392 DOI: 10.1016/j.esmoop.2021.100081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/11/2021] [Accepted: 01/30/2021] [Indexed: 11/18/2022] Open
Abstract
Objective Recurrent ovarian cancer is an incurable disease with variable but poor prognosis. Health-related quality of life (HRQoL) is a patient-reported outcome measure generally applied to measure effects of therapies. Our aim was the development and validation of a risk score for the prediction of short-term mortality using the combination of sociodemographic and clinical factors and HRQoL. Methods For exploratory and validation analysis, the North-Eastern German Society of Gynecological Oncology (NOGGO) and Working Group Gynecological Oncology (AGO) study databases were screened for trials. Only trials which obtained defined HRQoL measurements were included in the final analysis. Multivariable logistic regression analyses were used to identify risk factors and their weighting for the risk score. Modulation with cubic regression analyses revealed median survival and short-term mortality defined as 1-year mortality for each value. Results For exploration, 974 patients from three clinical studies of the NOGGO and for validation, 1235 patients from several clinical studies of the AGO were eligible. The risk score included platinum-free interval, performance status, age, global QoL and nausea/vomiting. Receiver operating characteristic analysis showed a good predictive value with an area under the curve of 0.81 for model 1 in the exploration and 0.74 in the validation. Short-term mortality in model 1 was 8.2%, 23.5% and 58.4% in the exploration sample, and 19.7%, 38.1% and 63.4% in the validation sample for patients under low, medium and high risk, respectively. Conclusions This risk score discriminates well between recurrent ovarian cancer patients under low, medium and high risk of short-term mortality. It may help to identify a risk group under high risk for short-term mortality that can be used for randomization in clinical trials and may support decision making for palliative chemotherapy. This newly developed NOGGO-AGO QoL prognosis score clearly discriminates recurrent ovarian cancer (rOC) patients under low, medium and high risk for short-term survival (<1 year). The risk score included platinum-free interval, performance status, age, global QoL and nausea/vomiting. NOGGO-AGO QoL score can be used for stratification or randomization in clinical trials and for identification of a group under high risk for short-term mortality. It may also help the decision making for chemotherapy and provide more precise information of further life expectation for rOC patients.
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Affiliation(s)
- R Armbrust
- Department of Gynecology with Center for Oncological Surgery, Virchow Campus Clinic, Charité Medical University, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - R Richter
- Department of Gynecology with Center for Oncological Surgery, Virchow Campus Clinic, Charité Medical University, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - H Woopen
- Department of Gynecology with Center for Oncological Surgery, Virchow Campus Clinic, Charité Medical University, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - F Hilpert
- Department of Gynecology, Krankenhaus Jerusalem Hamburg, Hamburg, Germany
| | - P Harter
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, Essen, Germany
| | - J Sehouli
- Department of Gynecology with Center for Oncological Surgery, Virchow Campus Clinic, Charité Medical University, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
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13
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Efficace F, Collins GS, Cottone F, Giesinger JM, Sommer K, Anota A, Schlussel MM, Fazi P, Vignetti M. Patient-Reported Outcomes as Independent Prognostic Factors for Survival in Oncology: Systematic Review and Meta-Analysis. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:250-267. [PMID: 33518032 DOI: 10.1016/j.jval.2020.10.017] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 08/05/2020] [Accepted: 10/19/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Assessment of patient-reported outcomes (PROs) in oncology is of critical importance because it provides unique information that may also predict clinical outcomes. METHODS We conducted a systematic review of prognostic factor studies to examine the prognostic value of PROs for survival in cancer. A systematic literature search was performed in PubMed for studies published between 2013 and 2018. We considered any study, regardless of the research design, that included at least 1 PRO domain in the final multivariable prognostic model. The protocol (EPIPHANY) was published and registered in the International Prospective Register of Systematic Reviews (CRD42018099160). RESULTS Eligibility criteria selected 138 studies including 158 127 patients, of which 43 studies were randomized, controlled trials. Overall, 120 (87%) studies reported at least 1 PRO to be statistically significantly prognostic for overall survival. Lung (n = 41, 29.7%) and genitourinary (n = 27, 19.6%) cancers were most commonly investigated. The prognostic value of PROs was investigated in secondary data analyses in 101 (73.2%) studies. The EORTC QLQ-C30 questionnaire was the most frequently used measure, and its physical functioning scale (range 0-100) the most frequent independent prognostic PRO, with a pooled hazard ratio estimate of 0.88 per 10-point increase (95% CI 0.84-0.92). CONCLUSIONS There is convincing evidence that PROs provide independent prognostic information for overall survival across cancer populations and disease stages. Further research is needed to translate current evidence-based data into prognostic tools to aid in clinical decision making.
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Affiliation(s)
- Fabio Efficace
- Italian Group for Adult Hematologic Diseases (GIMEMA) Data Center and Health Outcomes Research Unit, Rome, Italy.
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Francesco Cottone
- Italian Group for Adult Hematologic Diseases (GIMEMA) Data Center and Health Outcomes Research Unit, Rome, Italy
| | - Johannes M Giesinger
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Kathrin Sommer
- Italian Group for Adult Hematologic Diseases (GIMEMA) Data Center and Health Outcomes Research Unit, Rome, Italy
| | - Amelie Anota
- French National Platform Quality of Life and Cancer, Besançon, France; Methodology and Quality of Life in Oncology Unit (INSERM UMR 1098), University Hospital of Besançon, Besançon, France
| | - Michael Maia Schlussel
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Paola Fazi
- Italian Group for Adult Hematologic Diseases (GIMEMA) Data Center and Health Outcomes Research Unit, Rome, Italy
| | - Marco Vignetti
- Italian Group for Adult Hematologic Diseases (GIMEMA) Data Center and Health Outcomes Research Unit, Rome, Italy
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14
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Ximenes CRC, Bergmann A, Lima JTDO, Cavalcanti AS, Britto MCAD, Mello MJG, Thuler LCS. Impact of age in health-related quality of life in older adults with cancer. GERIATRICS, GERONTOLOGY AND AGING 2021. [DOI: 10.5327/z2447-212320212000106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE: To evaluate the impact of age in health-related quality of life (HRQoL) in older adults with cancer. METHODS: This was a cross-sectional study of 608 older adults diagnosed with cancer. Age groups were considered an independent variable. For the analysis of HRQoL, the mean scores of age groups were compared by analysis of variance and the Scheffé comparison test. For measuring the association between age and HRQoL, we used simple and multiple linear regression analyses. RESULTS: Cognitive function showed the highest scores (average 87.94 ± 26.87), while physical function showed the lowest ones (68.04 ± 28.63). The highest symptom score was observed for financial difficulties (34.21 ± 39.06), followed by pain (29.47 ± 33.92) and insomnia (28.51 ± 37.03). After adjustment, we observed a decrease in physical function (p = 0.028) and an improvement in emotional function (p = 0.003) with increasing age. Conclusions: In older patients with cancer, age negatively impacted physical function and positively impacted emotional function.
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Affiliation(s)
| | - Anke Bergmann
- Instituto Nacional de Câncer José Alencar Gomes da Silva, Brazil
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15
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Li JB, Guo SS, Tang LQ, Guo L, Mo HY, Chen QY, Mai HQ. Longitudinal Trend of Health-Related Quality of Life During Concurrent Chemoradiotherapy and Survival in Patients With Stage II-IVb Nasopharyngeal Carcinoma. Front Oncol 2020; 10:579292. [PMID: 33134176 PMCID: PMC7578369 DOI: 10.3389/fonc.2020.579292] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 09/08/2020] [Indexed: 12/24/2022] Open
Abstract
Background and Aims: To investigate the longitudinal trend of health-related quality of life (HRQOL) from the start to the end of concurrent chemoradiotherapy and survival in patients with advanced nasopharyngeal carcinoma (NPC). Methods: A total of 145 patients with stage II-IVb NPC, who were a subsample of a randomized phase III clinical trial, were recruited in this study. HRQOL was measured weekly for a total of 6 weeks during concurrent chemoradiotherapy by the Chinese version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire core 30. Longitudinal trends of HRQOL domains over time were analyzed using mixed models. Survival rates were estimated using Kaplan-Meier method. Results: During a median follow-up of 45 months, the 3-year progression-free survival rate, overall survival rate, and distant metastasis-free survival rate were highly at 86.8% (95% CI: 80.1%, 91.4%), 95.1% (95% CI: 90.1%, 97.6%), and 91.0% (95% CI: 84.9%, 94.6%), respectively. The average weekly declines of five functioning domains were 1.83-3.52 points during the treatment period, with role functioning having the largest decline rate (-2.52 points per week, 95% CI: -4.50, -2.55; p < 0.001). Loss of appetite is the most affected symptom, with severe appetite loss ranging from 35.9 to 61.1%. The average increases of symptoms were 0.63-5.16 points per week during treatment period (all p-values for time <0.001, except for financial difficulties), with pain symptoms having the largest increase (5.16 points, 95%CI: 4.25, 6.08; p < 0.001), followed by fatigue (3.62 points, 95%CI: 2.90, 4.35; p < 0.001). Conclusion: The HRQOL of patients with advanced NPC is poor and substantially deteriorated during the concurrent chemoradiotherapy (CCRT) period. Psychological care and support is necessary for patients with advanced NPC during the treatment period.
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Affiliation(s)
- Ji-Bin Li
- Department of Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shan-Shan Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lin-Quan Tang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ling Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hao-Yuan Mo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qiu-Yan Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hai-Qiang Mai
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
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16
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Sim JA, Kim YA, Kim JH, Lee JM, Kim MS, Shim YM, Zo JI, Yun YH. The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning. Sci Rep 2020; 10:10693. [PMID: 32612283 PMCID: PMC7329866 DOI: 10.1038/s41598-020-67604-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 06/01/2020] [Indexed: 01/11/2023] Open
Abstract
The primary goal of this study was to evaluate the major roles of health-related quality of life (HRQOL) in a 5-year lung cancer survival prediction model using machine learning techniques (MLTs). The predictive performances of the models were compared with data from 809 survivors who underwent lung cancer surgery. Each of the modeling technique was applied to two feature sets: feature set 1 included clinical and sociodemographic variables, and feature set 2 added HRQOL factors to the variables from feature set 1. One of each developed prediction model was trained with the decision tree (DT), logistic regression (LR), bagging, random forest (RF), and adaptive boosting (AdaBoost) methods, and then, the best algorithm for modeling was determined. The models' performances were compared using fivefold cross-validation. For feature set 1, there were no significant differences in model accuracies (ranging from 0.647 to 0.713). Among the models in feature set 2, the AdaBoost and RF models outperformed the other prognostic models [area under the curve (AUC) = 0.850, 0.898, 0.981, 0.966, and 0.949 for the DT, LR, bagging, RF and AdaBoost models, respectively] in the test set. Overall, 5-year disease-free lung cancer survival prediction models with MLTs that included HRQOL as well as clinical variables improved predictive performance.
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Affiliation(s)
- Jin-Ah Sim
- Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Korea
| | - Young Ae Kim
- National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Ju Han Kim
- Department of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea
| | - Jong Mog Lee
- Center for Lung Cancer, National Cancer Center, Goyang, Korea
| | - Moon Soo Kim
- Center for Lung Cancer, National Cancer Center, Goyang, Korea
| | - Young Mog Shim
- Lung and Esophageal Cancer Center, Samsung Comprehensive Cancer Center, Samsung Medical Center, Seoul, Korea
| | - Jae Ill Zo
- Lung and Esophageal Cancer Center, Samsung Comprehensive Cancer Center, Samsung Medical Center, Seoul, Korea
| | - Young Ho Yun
- Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Korea.
- Department of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
- Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea.
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17
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Prognostic value of patient-reported outcomes from international randomised clinical trials on cancer: a systematic review. Lancet Oncol 2020; 20:e685-e698. [PMID: 31797795 DOI: 10.1016/s1470-2045(19)30656-4] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 12/16/2022]
Abstract
A previous review published in 2008 highlighted the prognostic significance of baseline patient-reported outcomes (PROs) as independent predictors of the overall survival of patients with cancer in clinical studies. In response to the methodological limitations of studies included in the previous review, recommendations were subsequently published in the same year to promote a higher level of methodological rigour in studies of prognostic factors. Our systematic review aimed to provide an update on progress with the implementation of these recommendations and to assess whether the methodological quality of prognostic factor analyses has changed over time. Of the 44 studies published between 2006 and 2018 that were included in our review, more standardisation and rigour of the methods used for prognostic factor analysis was found compared with the previous review. 41 (93%) of the trials reported at least one PRO domain as independently prognostic. The most common significant prognostic factors reported were physical functioning (17 [39%] studies) and global health or quality of life (15 [34%] studies). These findings highlight the value of PROs as prognostic or stratification factors in research across most types of cancer.
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18
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Vollmann M, Matsuda A, Kroep JR, Kobayashi K, Kubota K, Inoue K, Yamaoka K, Putter H, Ramai R, Nortier JWR, Fischer MJ, Kaptein AA. Illness Perceptions and Quality of Life in Patients with Non-Small-Cell Lung Cancer: A 3-Month Follow-Up Pilot Study. PATIENT-RELATED OUTCOME MEASURES 2020; 11:67-71. [PMID: 32161510 PMCID: PMC7051802 DOI: 10.2147/prom.s238009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 02/06/2020] [Indexed: 12/24/2022]
Abstract
Purpose Examine illness perceptions, functional health and quality of life of lung cancer patients throughout chemotherapy treatment. Patients and Methods Longitudinal design with baseline measure 12 days after the first chemotherapy and follow-up measure 3 months later, where illness perceptions (BIPQ), functional health, and quality of life (EORTC QLQ-C-30) were measured. A total of 21 patients with non-small-cell lung cancer took part. Non-parametric testing was performed given the pilot nature of the study and the associated relatively small sample size. Results Small to medium changes in illness perceptions and functional health between the two measurement points were detected, with both becoming more positive. More negative illness perceptions at the beginning of the treatment were associated with less functioning and lower quality of life at both beginning and end of treatment. Conclusion Addressing illness perceptions seems a clinically relevant approach in improving functioning and quality of life of patients with non-small-cell lung cancer.
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Affiliation(s)
- Manja Vollmann
- Socio-Medical Sciences ESHPM, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Ayako Matsuda
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Judith R Kroep
- Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | | | | | | | - Kazue Yamaoka
- Teikyo University Graduate School of Public Health, Tokyo, Japan
| | - Hein Putter
- Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - Rajen Ramai
- Respiratory Medicine, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Maarten J Fischer
- Medical Psychology, Leiden University Medical Center, Leiden, the Netherlands
| | - Ad A Kaptein
- Medical Psychology, Leiden University Medical Center, Leiden, the Netherlands
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19
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Prognostic Value of Functional Assessment of Cancer Therapy-General (FACT-G) in Advanced Non-Small-Cell Lung Cancer Treated with Korean Medicine. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2020; 2020:2845401. [PMID: 32454853 PMCID: PMC7212313 DOI: 10.1155/2020/2845401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/02/2020] [Indexed: 12/24/2022]
Abstract
Objectives The impact of health-related quality of life (HRQoL) on survival has been investigated in patients with various cancers. Here, we evaluated the prognostic value of HRQoL using the Functional Assessment of Cancer Therapy-General (FACT-G) in advanced non-small-cell lung cancer (NSCLC) patients treated with Korean medicine. Methods A retrospective review of medical records and FACT-G scores of patients with advanced NSCLC who received treatment with Korean medicine was conducted. The reliability of the FACT-G was determined using Cronbach's alpha and calculating floor-and-ceiling effects. Correlations between FACT-G scores were estimated using Pearson's correlation analysis. Overall survival was calculated using the Kaplan-Meier method, and the prognostic impact of FACT-G scores and patients' characteristics was evaluated with Cox proportional hazards regression. Results Of the 165 enrolled patients, 115 (70%) had extrathoracic metastasis and 139 (84%) had undergone prior anticancer treatment. The median overall survival was 10.1 months. The mean FACT-G score was 65.0, and Cronbach's alpha for the FACT-G was 0.917. Age ≥65 years, male sex, smoking history, squamous-cell carcinoma, Eastern Cooperative Oncology Group Performance Status (ECOG-PS) ≥2, and presence of extrathoracic metastasis were associated with an increased risk of mortality. High FACT-G total scores, physical well-being (PWB), emotional well-being, and functional well-being were associated with prolonged survival. After adjusting for age, sex, smoking history, ECOG-PS, histological type, and presence of extrathoracic metastasis, a high FACT-G total score (hazard ratio (HR): 0.99, p=0.032) and high PWB score (HR: 0.94, p < 0.001) were associated with prolonged survival as independent prognostic factors in patients with advanced NSCLC. Conclusion The FACT-G total score and PWB score as HRQoL measurements were significant prognostic factors for survival in advanced NSCLC patients treated with Korean medicine. This finding implies that the FACT-G can be used in clinical practice as a predictor of survival in patients with advanced NSCLC.
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20
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Montroni I, Ugolini G, Audisio RA. Principles of Cancer Surgery in Older Adults. GERIATRIC ONCOLOGY 2020:825-844. [DOI: 10.1007/978-3-319-57415-8_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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21
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Das A, Gabr A, O'Brian DP, Riaz A, Desai K, Thornburg B, Kallini JR, Mouli S, Lewandowski RJ, Salem R. Contemporary Systematic Review of Health-Related Quality of Life Outcomes in Locoregional Therapies for Hepatocellular Carcinoma. J Vasc Interv Radiol 2019; 30:1924-1933.e2. [PMID: 31685362 DOI: 10.1016/j.jvir.2019.07.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 06/03/2019] [Accepted: 07/19/2019] [Indexed: 12/12/2022] Open
Abstract
Health-related quality of life has become an important aspect in oncologic decision making. Recent data suggest that Health-Related Quality of Life (HRQoL) measurements can play an important prognostic role in patients with hepatocellular carcinoma (HCC). Locoregional therapies (LRTs) such as radiofrequency ablation, transarterial chemoembolization, and radioembolization (TARE) are important parts of HCC management. Results demonstrated that radiofrequency ablation treatment results in improving HRQoL compared to surgery for up to 3 years after treatment. Between TARE and transarterial chemoembolization, TARE provides the most benefit in terms of HRQoL. This systematic review investigated contemporary data surrounding HRQoL in patients undergoing LRTs and its impact on clinical decision making.
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Affiliation(s)
- Arighno Das
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Ahmed Gabr
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Daniel P O'Brian
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Ahsun Riaz
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Kush Desai
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Bartley Thornburg
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Joseph R Kallini
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Samdeep Mouli
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois
| | - Robert J Lewandowski
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois; Department of Medicine, Division of Hematology and Oncology, Northwestern University, Chicago Illinois
| | - Riad Salem
- Department of Radiology, Section of Interventional Radiology, Northwestern University, Chicago Illinois; Department of Medicine, Division of Hematology and Oncology, Northwestern University, Chicago Illinois.
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22
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Chiu SYR, Yang Z. Influence of family income and medical insurance coverage on health-related quality of life and optimism in cancer patients at a Hong Kong private hospital: A cross-sectional study. Psychooncology 2019; 28:1971-1977. [PMID: 31293022 DOI: 10.1002/pon.5175] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/07/2019] [Accepted: 07/06/2019] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Health-related quality of life (HRQL) and optimism are important health domains that express the physical, emotional, and psychological well-being of cancer patients. Previous studies have explored income and medical insurance coverage as predictors of their well-being with the aim to better understand their financial needs. The primary objective of this study was to examine the associations in the private health sector in Hong Kong. METHODS The study was conducted cross-sectionally with a structured questionnaire in traditional Chinese. HRQL was assessed with the RAND 12-item Health Survey, and optimism was assessed with the Life Orientation Test. The two primary predictors were family income and medical insurance coverage. The associations were tested using logistic regression, controlling for other sociodemographic and clinical covariates. RESULTS A total of 428 questionnaires were used in the regression model. After adjusting for other covariates, no significant association was observed with family income as the predictor. Medical insurance coverage was a significant and positive predictor of optimism with odds ratio of 2.30 and 95% confidence interval of 1.30 to 4.05 for the group with the most coverage with little to no coverage as the reference group. CONCLUSIONS The significant association between medical insurance coverage and optimism might be an indication that the medical cost was a financial burden to many cancer patients in Hong Kong. In addition to their medical needs, cancer support organization and health care practitioners must be able to recognize and assist with the financial needs of the cancer patients.
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Affiliation(s)
- Sai Yiu Richard Chiu
- Radiation and Oncology Centre, Hong Kong Baptist Hospital, Kowloon Tong, Hong Kong
| | - Zuyao Yang
- Division of Epidemiology, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong
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23
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Abstract
Continuous improvements in the diagnosis and treatment of cancer lead to improved cure rates and longer survival. However, in many patients, the disease becomes chronic. In this context, the patients' quality of life (QOL) becomes a crucial issue. After an introduction about QOL, results from different areas of cancer treatment are presented considering their impact on QOL. Finally, implications are discussed for researchers, clinicians, and patients.
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24
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Mai TTX, Choi JH, Lee MK, Chang YJ, Jung SY, Cho H, Lee ES. Prognostic Value of Post-diagnosis Health-Related Quality of Life for Overall Survival in Breast Cancer: Findings from a 10-Year Prospective Cohort in Korea. Cancer Res Treat 2019; 51:1600-1611. [PMID: 30999723 PMCID: PMC6790846 DOI: 10.4143/crt.2018.426] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 04/10/2019] [Indexed: 12/14/2022] Open
Abstract
Purpose We aimed to evaluate health-related quality of life (HRQOL) at 1-year post-diagnosis in breast cancer (BC) patients and its association with overall survival using data from the National Cancer Center Hospital. Materials and Methods Data of a BC cohort were first obtained between 2004 and 2006 and followed up. HRQOL was assessed using EORTC QLQ-C30 and BC specific module QLQ-BR23 few days after diagnosis and 1 year after that. We examined and compared the difference in the two HRQOL scores measured for each patient by the patient’s current survival status. The Cox proportional hazards model was fitted to evaluate the impact of HRQOL on survival, with adjustment for baseline HRQOL and other factors. Results Of 299 enrolled patients, 206 responded at 1-year post-diagnosis (80.6%) and were followed up for 11.6 years on average. At 1-year post-diagnosis, survivors had better HRQOL scores than those who died, although their health status was similar at baseline. Survivors reported significant increase 1 year after diagnosis in global health status and emotional scales. Between the groups, functional scales such as physical, role, and emotional were significantly different. Functional scales, including physical (adjusted hazard ratio [aHR], 0.70), role (aHR, 0.68), emotional (aHR, 0.72), and symptom scales, including fatigue (aHR, 1.34), dyspnea (aHR, 1.29), appetite loss (aHR, 1.24) were significantly associated with overall survival. Patients who were less worried about future health had favorable survival(aHR, 0.83). Conclusion Besides treatment-related symptoms, non-medical aspects at 1-year post-diagnosis, including functional well-being and future perspective, are predictive of long-term survival. Intervention to enhance physical, role, and emotional support for women soon after their BC diagnosis might help to improve disease survival outcomes afterwards.
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Affiliation(s)
- Tran Thi Xuan Mai
- Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Jin Hyuk Choi
- Center for Breast Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Myung Kyung Lee
- College of Nursing, Kyungpook National University, Daegu, Korea
| | - Yoon Jung Chang
- Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.,Hospice and Palliative Care Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - So-Youn Jung
- Center for Breast Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Hyunsoon Cho
- Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.,Division of Cancer Registration and Surveillance, National Cancer Control Institute, National Cancer Center, Goyang, Korea
| | - Eun Sook Lee
- Center for Breast Cancer, Research Institute and Hospital, National Cancer Center, Goyang, Korea.,Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
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25
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Mota RT, Ferreira Júnior HM, Pereira FS, Vieira MA, Costa SDM. Quality of life of patients with lung cancer: A scoping review. REVISTA BRASILEIRA DE GERIATRIA E GERONTOLOGIA 2019. [DOI: 10.1590/1981-22562019022.180162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Abstract Objective: To characterize scientific publications on the quality of life of people with lung cancer in order to explore current knowledge of the subject, with emphasis on assessment instruments and methodological aspects. Method: A scoping type literature review was performed. Articles were sought in the databases of the Virtual Health Library, in an integrative manner, with the descriptors: Quality of life and Lung Neoplasms, with no date of publication or language restrictions (n=138). The selection of articles was based on inclusion and exclusion criteria defined in the study proposal. Results: We included 18 publications published between 2006 and 2017, the majority (n = 10) of which had a cross-sectional design. Eight different instruments were used to evaluate the quality of life of patients with lung cancer, four of which were specific for people with cancer. There was a prevalence of the use of the European Organization for Research and Treatment of Cancer Care Quality of Life Questionnaire - EORTC QLQ-C30 (n=8). Prospective studies (n=8) assessed quality of life before and after chemotherapy, physical therapy or pulmonary resection. The studies adopted different methodologies and provided conflicting results of quality of life. Cross-sectional studies with comparatively healthy subjects found an inferior quality of life for people with lung cancer. Conclusion: The scoping review contributed to the identification of the multiple evaluated instruments, both generic and specific. It found a lack of homogeneity in the methodological approaches of the studies. Further prospective studies with a specific instrument and methodological standardization to evaluate the quality of life of people with lung cancer are recommended.
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Deliu N, Cottone F, Collins GS, Anota A, Efficace F. Evaluating methodological quality of Prognostic models Including Patient-reported HeAlth outcomes iN oncologY (EPIPHANY): a systematic review protocol. BMJ Open 2018; 8:e025054. [PMID: 30361409 PMCID: PMC6224737 DOI: 10.1136/bmjopen-2018-025054] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 08/31/2018] [Accepted: 09/20/2018] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION While there is mounting evidence of the independent prognostic value of patient-reported outcomes (PROs) for overall survival (OS) in patients with cancer, it is known that the conduct of these studies may hold a number of methodological challenges. The aim of this systematic review is to evaluate the quality of published studies in this research area, in order to identify methodological and statistical issues deserving special attention and to also possibly provide evidence-based recommendations. METHODS AND ANALYSIS An electronic search strategy will be performed in PubMed to identify studies developing or validating a prognostic model which includes PROs as predictors. Two reviewers will independently be involved in data collection using a predefined and standardised data extraction form including information related to study characteristics, PROs measures used and multivariable prognostic models. Studies selection will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, with data extraction form using fields from the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist for multivariable models. Methodological quality assessment will also be performed and will be based on prespecified domains of the CHARMS checklist. As a substantial heterogeneity of included studies is expected, a narrative evidence synthesis will also be provided. ETHICS AND DISSEMINATION Given that this systematic review will use only published data, ethical permissions will not be required. Findings from this review will be published in peer-reviewed scientific journals and presented at major international conferences. We anticipate that this review will contribute to identify key areas of improvement for conducting and reporting prognostic factor analyses with PROs in oncology and will lay the groundwork for developing future evidence-based recommendations in this area of research. PROSPERO REGISTRATION NUMBER CRD42018099160.
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Affiliation(s)
- Nina Deliu
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
| | - Francesco Cottone
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
| | - Gary S Collins
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Amélie Anota
- Methodology and Quality of Life in Oncology Unit (INSERM UMR 1098), University Hospital of Besançon, Besançon, France
| | - Fabio Efficace
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
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Cheng X, Wei S, Zhang H, Xue S, Wang W, Zhang K. Nurse-led interventions on quality of life for patients with cancer: A meta-analysis. Medicine (Baltimore) 2018; 97:e12037. [PMID: 30142854 PMCID: PMC6112931 DOI: 10.1097/md.0000000000012037] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 08/01/2018] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To compare the quality of life outcome between nurse-led and non-nurse-led interventions for patients with cancer using a meta-analysis. METHODS A systematic literature review was performed by searching randomized controlled trials about nurse-led interventions in PubMed, EMBASE, and Cochrane Library databases until June 2017. Pooled summary estimates for quality of life outcome was calculated as standardized mean difference (SMD) either on a fixed- or random-effect model via Stata 13.0 software. RESULTS Seven literatures involving 1110 patients (554 in the nurse-led group and 556 in the control group) were included. Pooled analysis showed there were no differences in the global quality of life, cognitive, emotional, role, social and physical functions, appetite loss, diarrhea, and dyspnea scales of Quality of Life Questionnaire C30 version 3.0 core (QLQ-C30) questionnaires between the nurse-led and control groups. However, the nurse-led management program significantly decreased the occurrence of constipation (SMD = -0.36, 95% CI = -0.71 to -0.00; P = .001) and insomnia (SMD = -0.33, 95% CI = -0.99 to 0.32; P = .011) and reduced the financial difficulty (SMD = -0.34, 95% CI = -0.65 to -0.03; P = .033) for patients with cancer. CONCLUSION The nurse-led disease management strategy seemed to be effective to improve constipation, insomnia, and financial impacts for patients with cancer in quality of life assessment.
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Affiliation(s)
| | | | | | | | | | - Kaikai Zhang
- Department of Interventional Therapy, Yidu Central Hospital of Weifang, Qingzhou City, Shandong, China
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28
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Shen Y, Wu B, Wang X, Zhu J. Health state utilities in patients with advanced non-small-cell lung cancer in China. J Comp Eff Res 2018; 7:443-452. [PMID: 29775084 DOI: 10.2217/cer-2017-0069] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
AIM Non-small-cell lung cancer (NSCLC) is a leading global health threat that impairs patient health outcomes. Health state utilities are fundamental values in economic evaluation and significantly vary across countries. Given the scarce data on the Chinese population, the current study measured utility values in the Chinese patients with NSCLC. METHODS This study was conducted as a cross-sectional survey of patients with advanced NSCLC at the Shanghai Chest Hospital. Utility values were assessed using the EuroQol five-dimension (EQ-5D) instrument and scored based on the Chinese-specific value algorithm. Predictors of utility values were examined using a subgroup analysis and a multiple regression model. RESULTS The mean EQ-5D utility value of recruited patients was 0.814. The regression analysis revealed that tumor stage, treatment regimen and line of therapy were the potential predictors of utility values. CONCLUSION This study provides the Chinese-specific health utility data for advanced NSCLC using the EQ-5D.
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Affiliation(s)
- Yunjie Shen
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, PR China
| | - Bin Wu
- Department of Pharmacy, Ren Ji Hospital, South Campus, School of Medicine, Shanghai Jiaotong University, Shanghai, PR China
| | - Xiaohui Wang
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jun Zhu
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, PR China
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Mizutani T, Ando M, Mizusawa J, Nakamura K, Fukuda H, Tsukada H, Abe T, Takeda K, Yokoyama A, Nakamura S, Nakagawa K, Yamamoto N, Ohe Y. Prognostic value of Lung Cancer Subscale in older patients with advanced non-small cell lung cancer: An integrated analysis of JCOG0207 and JCOG0803/WJOG4307L (JCOG1414A). J Geriatr Oncol 2018; 9:583-588. [PMID: 29731344 DOI: 10.1016/j.jgo.2018.04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 04/13/2018] [Accepted: 04/13/2018] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The Lung Cancer Subscale (LCS) of the Functional Assessment of Cancer Therapy-Lung (FACT-L) questionnaire is commonly used for evaluating lung cancer-specific symptoms. The objective of this study was to elucidate the prognostic value of the LCS in older patients with advanced non-small cell lung cancer (NSCLC). MATERIAL AND METHODS We conducted an integrated analysis of data from two randomized phase III trials (JCOG0207, JCOG0803/WJOG4307L) including patients aged 70 years or older with advanced NSCLC to evaluate the prognostic value of LCS scores at baseline (Aim 1) and for symptom improvement (an increase in LCS of two points or more during treatment) (Aim 2). Multivariable analyses for survival, adjusted for baseline factors, were performed using a stratified Cox regression model with treatment regimen as a stratum. RESULTS A total of 327 patients were included in the analysis for Aim 1 and 373 patients for Aim 2. Approximately 70% of patients were aged 75 or older. In Aim 1, use of descriptive statistics determined a cutoff point for baseline LCS score of 21. Multivariable analysis showed that higher baseline LCS was associated with favorable overall survival (OS) (hazard ratio [HR]: 0.68; 95% confidence interval [CI]: 0.52-0.89) and progression-free survival (HR: 0.68; 95% CI: 0.52-0.89). In Aim 2, symptom improvement was not associated with favorable OS (HR: 0.97; 95% CI: 0.72-1.23). CONCLUSION It is recommended to consider baseline LCS scores while determining treatment strategies for older patients with advanced NSCLC.
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Affiliation(s)
- Tomonori Mizutani
- Japan Clinical Oncology Group (JCOG) Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan.
| | - Masahiko Ando
- Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Junki Mizusawa
- Japan Clinical Oncology Group (JCOG) Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Kenichi Nakamura
- Japan Clinical Oncology Group (JCOG) Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Haruhiko Fukuda
- Japan Clinical Oncology Group (JCOG) Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Hiroko Tsukada
- Department of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Japan
| | - Tetsuya Abe
- Department of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Japan
| | - Koji Takeda
- Department of Medical Oncology, Osaka City General Hospital, Osaka, Japan
| | - Akira Yokoyama
- Department of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Japan
| | | | - Kazuhiko Nakagawa
- Department of Medical Oncology, Kinki University, Faculty of Medicine, Osaka, Japan
| | - Noboru Yamamoto
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Yuichiro Ohe
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan
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30
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Guo SS, Hu W, Chen QY, Li JM, Zhu SH, He Y, Li JW, Xia L, Ji L, Lin CY, Liu LT, Tang LQ, Guo L, Mo HY, Zhao C, Guo X, Cao KJ, Qian CN, Zeng MS, Hong MH, Shao JY, Sun Y, Ma J, Fan YY, Mai HQ. Pretreatment quality of life as a predictor of survival for patients with nasopharyngeal carcinoma treated with IMRT. BMC Cancer 2018; 18:114. [PMID: 29386004 PMCID: PMC5793429 DOI: 10.1186/s12885-018-4003-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 01/17/2018] [Indexed: 11/25/2022] Open
Abstract
Background To evaluate the prognostic significance of pretreatment quality of life for patients with nasopharyngeal carcinoma treated with intensity-modulated radiotherapy. Methods We performed a prospective, longitudinal study on 554 newly diagnosed patients with NPC from April 2011 to January 2015. A total of 501 consecutive NPC patients were included. Patients were asked to complete the EORTC QLQ-C30 (version 3.0) and QLQ-H&N35 questionnaires before treatment. Results Global health status among QLQ-C30 correlates with EBV DNA(P = 0.019). In addition, pretreatment appetite loss was significantly correlated with EBV DNA(P = 0.02). Pretreatment teeth, opening mouth, feeding tube was significantly correlated with EBV DNA, with P value of 0.003, < 0.0001, and 0.031, respectively. In multivariate analysis, pretreatment cognitive functioning of QLQ-C30 was significantly associated with LRFS, with HR of 0.971(95%CI 0.951–0.990), P = 0.004. Among scales of QLQ-H&N35 for multivariate analysis, pretreatment teeth (P = 0.026) and felt ill (P = 0.012) was significantly associated with PFS, with HR of 0.984 (95%CI 0.971–.998) and 1.004 (95%CI 1.001–1.007), respectively. Felt ill of QLQ-H&N35 was significantly associated with DMFS, with HR of 1.004(95%CI 1.000–1.007), P = 0.043. There is no QoL scale significantly associated with OS after multivariate analysis. Conclusions In conclusion, our analysis confirms that pretreatment teeth and felt ill was significantly associated with PFS in NPC patients treated with IMRT. In addition, the posttreatment EBV DNA was significantly associated with OS.
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Affiliation(s)
- Shan-Shan Guo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Wen Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Qiu-Yan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Jian-Mei Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Shi-Heng Zhu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Yan He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Jia-Wen Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Le Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Lu Ji
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Cui-Ying Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Li-Ting Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Lin-Quan Tang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Ling Guo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Hao-Yuan Mo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Chong Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Xiang Guo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Ka-Jia Cao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Chao-Nan Qian
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Mu-Sheng Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Ming-Huang Hong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Good Clinical Practice center, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Jian-Yong Shao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Ying Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Jun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Yu-Ying Fan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Hai-Qiang Mai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China. .,Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China.
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Efficace F, Cottone F, Abel G, Niscola P, Gaidano G, Bonnetain F, Anota A, Caocci G, Cronin A, Fianchi L, Breccia M, Stauder R, Platzbecker U, Palumbo GA, Luppi M, Invernizzi R, Bergamaschi M, Borin L, Di Tucci AA, Zhang H, Sprangers M, Vignetti M, Mandelli F. Patient-reported outcomes enhance the survival prediction of traditional disease risk classifications: An international study in patients with myelodysplastic syndromes. Cancer 2017; 124:1251-1259. [PMID: 29231969 DOI: 10.1002/cncr.31193] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 11/03/2017] [Accepted: 11/20/2017] [Indexed: 11/12/2022]
Abstract
BACKGROUND Current prognostic systems for myelodysplastic syndromes (MDS) are based on clinical, pathologic, and laboratory indicators. The objective of the current study was to develop a new patient-centered prognostic index for patients with advanced MDS by including self-reported fatigue severity into a well-established clinical risk classification: the International Prognostic Scoring System (IPSS). METHODS A total of 469 patients with advanced (ie, IPSS intermediate-2 or high-risk) MDS were analyzed. Untreated patients (280 patients) were recruited into an international prospective cohort observational study to create the index. The index then was applied to an independent cohort including pretreated patients with MDS from the Dana-Farber Cancer Institute in Boston, Massachusetts (189 patients). At baseline, patients completed the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30). RESULTS A new prognostic index was developed: the FA-IPSS(h), in which FA stands for fatigue and h for higher-risk. This new risk classification enabled the authors to distinguish 3 subgroups of patients with distinct survival outcomes (ie, risk-1, risk-2, and risk-3). Patients classified as FA-IPSS(h) risk-1 had a median overall survival (OS) of 23 months (95% confidence interval [95% CI], 19-29 months), whereas those with risk-2 had a median OS of 16 months (95% CI, 12-17 months) and those with risk-3 had a median OS of 10 months (95% CI, 4-13 months). The predictive accuracy of this new index was higher than that of the IPSS alone in both the development cohort as well as in the independent cohort including pretreated patients. CONCLUSIONS The FA-IPSS(h) is a novel patient-centered prognostic index that includes patients' self-reported fatigue severity. The authors believe its use might enhance physicians' ability to predict survival more accurately in patients with advanced MDS. Cancer 2018;124:1251-9. © 2017 American Cancer Society.
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Affiliation(s)
- Fabio Efficace
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
| | - Francesco Cottone
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
| | - Gregory Abel
- Division of Population Sciences, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | | | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Franck Bonnetain
- Methodology and Quality of Life in Oncology Unit, University Hospital of Besançon, Besançon, France.,Platform Quality of Life and Cancer, INSERM 1098, University of Franche-Comté, Besançon, France
| | - Amelie Anota
- Methodology and Quality of Life in Oncology Unit, University Hospital of Besançon, Besançon, France.,Platform Quality of Life and Cancer, INSERM 1098, University of Franche-Comté, Besançon, France
| | - Giovanni Caocci
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy
| | - Angel Cronin
- Division of Population Sciences, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Luana Fianchi
- Institute of Hematology, Catholic University of the Sacred Heart, Rome, Italy
| | - Massimo Breccia
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, Sapienza University, Rome, Italy
| | - Reinhard Stauder
- Department of Internal Medicine V (Hematology and Oncology), Innsbruck Medical University, Innsbruck, Austria
| | - Uwe Platzbecker
- Department of Medicine I, University Hospital Dresden Carl Gustav Carus, Dresden, Germany
| | | | - Mario Luppi
- Department of Hematology, University of Modena, Modena, Italy
| | - Rosangela Invernizzi
- Department of Internal Medicine, University of Pavia, San Matteo IRCCS Policlinic Foundation, Pavia, Italy
| | | | - Lorenza Borin
- Department of Hematology, San Gerardo Hospital, Monza, Italy
| | - Anna Angela Di Tucci
- Hematology and Bone Marrow Transplantation Unit, Armando Businco Hospital, Cagliari, Italy
| | - Huiyong Zhang
- Department of Hematology, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Mirjam Sprangers
- Department of Medical Psychology, Academic Medical Center/University of Amsterdam, Amsterdam, the Netherlands
| | - Marco Vignetti
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
| | - Franco Mandelli
- Data Center and Health Outcomes Research Unit, Italian Group for Adult Hematologic Diseases (GIMEMA), Rome, Italy
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Saur NM, Montroni I, Ghignone F, Ugolini G, Audisio RA. Attitudes of Surgeons toward Elderly Cancer Patients: A Survey from the SIOG Surgical Task Force. Visc Med 2017; 33:262-266. [PMID: 29034254 PMCID: PMC5624262 DOI: 10.1159/000477641] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Cancer care in elderly patients is complex. A recent survey showed that among mostly academic surgeons, practice patterns varied in the care of elderly patients. The authors suggested three areas of intervention in improving care of this population: frailty assessment, nutritional assessment, and assessment of quality of life.
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Affiliation(s)
- Nicole M. Saur
- Division of Colon and Rectal Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Isacco Montroni
- Colorectal Surgery, General Surgery, AUSL Romagna, Ospedale per gli Infermi - Faenza, Faenza, Italy
| | - Federico Ghignone
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Giampaolo Ugolini
- Colorectal Surgery, General Surgery, AUSL Romagna, Ospedale per gli Infermi - Faenza, Faenza, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Riccardo A. Audisio
- Department of Surgery, University of Liverpool, St Helens Teaching Hospital, St Helens, UK
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Vienot A, Beinse G, Louvet C, de Mestier L, Meurisse A, Fein F, Heyd B, Cleau D, d’Engremont C, Dupont-Gossart AC, Lakkis Z, Tournigand C, Bouché O, Rousseau B, Neuzillet C, Bonnetain F, Borg C, Vernerey D. Overall Survival Prediction and Usefulness of Second-Line Chemotherapy in Advanced Pancreatic Adenocarcinoma. J Natl Cancer Inst 2017; 109:3105956. [DOI: 10.1093/jnci/djx037] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 02/21/2017] [Indexed: 02/07/2023] Open
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Liu JY, Qian CY, Gao YF, Chen J, Zhou HH, Yin JY. Association between DNA mismatch repair gene polymorphisms and platinum-based chemotherapy toxicity in non-small cell lung cancer patients. CHINESE JOURNAL OF CANCER 2017; 36:12. [PMID: 28093084 PMCID: PMC5238520 DOI: 10.1186/s40880-016-0175-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 07/20/2016] [Indexed: 12/11/2022]
Abstract
Background Chemotherapy toxicity is a serious problem from which non-small cell lung cancer (NSCLC) patients suffer. The mismatch repair (MMR) system is associated with platinum-based chemotherapy toxicity in NSCLC patients. In this study, we aimed to investigate the relationship between genetic polymorphisms in the MMR pathway and platinum-based chemotherapy toxicity in NSCLC patients. Methods A total of 220 Chinese lung cancer patients who received at least two cycles of platinum-based chemotherapy were recruited for this study. Toxicity was evaluated in each patient after two cycles of chemotherapy. A total of 44 single nucleotide polymorphisms were selected to investigate their associations with platinum-based chemotherapy toxicity. Results MutS homolog 2 (MSH2) rs6544991 [odds ratio (OR) 2.98, 95% confidence interval (CI) 1.20–7.40, P = 0.019] was associated with gastrointestinal toxicity in the dominant model; MSH3 rs6151627 (OR 2.38, 95% CI 1.23–4.60, P = 0.010), rs6151670 (OR 2.05, 95% CI 1.07–3.93, P = 0.031), and rs7709909 (OR 2.38, 95% CI 1.23–4.64, P = 0.010) were associated with hematologic toxicity in the dominant model. Additionally, MSH5 rs805304 was significantly associated with overall toxicity (OR 2.21, 95% CI 1.19–4.09, P = 0.012), and MSH5 rs707939 was significantly associated with both overall toxicity (OR 0.42, 95% CI 0.23–0.76, P = 0.004) and gastrointestinal toxicity (OR 0.44, 95% CI 0.20–0.96, P = 0.038) in the dominant model. Conclusion Genetic polymorphisms in the MMR pathway are potential clinical markers for predicting chemotherapy toxicity in NSCLC patients. Electronic supplementary material The online version of this article (doi:10.1186/s40880-016-0175-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jun-Yan Liu
- Xiangya School of Medicine, Central South University, Changsha, 410008, Hunan, P. R. China
| | - Chen-Yue Qian
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, P. R. China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, P. R. China.,Hunan Province Cooperation Innovation Center for Molecular Target New Drug Study, Hengyang, 421001, Hunan, P. R. China
| | - Yuan-Feng Gao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, P. R. China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, P. R. China.,Hunan Province Cooperation Innovation Center for Molecular Target New Drug Study, Hengyang, 421001, Hunan, P. R. China
| | - Juan Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, P. R. China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, P. R. China.,Hunan Province Cooperation Innovation Center for Molecular Target New Drug Study, Hengyang, 421001, Hunan, P. R. China
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, P. R. China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, P. R. China.,Hunan Province Cooperation Innovation Center for Molecular Target New Drug Study, Hengyang, 421001, Hunan, P. R. China
| | - Ji-Ye Yin
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, P. R. China. .,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, P. R. China. .,Hunan Province Cooperation Innovation Center for Molecular Target New Drug Study, Hengyang, 421001, Hunan, P. R. China.
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Prognostic nomogram and score to predict overall survival in locally advanced untreated pancreatic cancer (PROLAP). Br J Cancer 2016; 115:281-9. [PMID: 27404456 PMCID: PMC4973163 DOI: 10.1038/bjc.2016.212] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 06/15/2016] [Accepted: 06/20/2016] [Indexed: 02/06/2023] Open
Abstract
Background: The management of locally advanced pancreatic cancer (LAPC) patients remains controversial. Better discrimination for overall survival (OS) at diagnosis is needed. We address this issue by developing and validating a prognostic nomogram and a score for OS in LAPC (PROLAP). Methods: Analyses were derived from 442 LAPC patients enrolled in the LAP07 trial. The prognostic ability of 30 baseline parameters was evaluated using univariate and multivariate Cox regression analyses. Performance assessment and internal validation of the final model were done with Harrell's C-index, calibration plot and bootstrap sample procedures. On the basis of the final model, a prognostic nomogram and a score were developed, and externally validated in 106 consecutive LAPC patients treated in Besançon Hospital, France. Results: Age, pain, tumour size, albumin and CA 19-9 were independent prognostic factors for OS. The final model had good calibration, acceptable discrimination (C-index=0.60) and robust internal validity. The PROLAP score has the potential to delineate three different prognosis groups with median OS of 15.4, 11.7 and 8.5 months (log-rank P<0.0001). The score ability to discriminate OS was externally confirmed in 63 (59%) patients with complete clinical data derived from a data set of 106 consecutive LAPC patients; median OS of 18.3, 14.1 and 7.6 months for the three groups (log-rank P<0.0001). Conclusions: The PROLAP nomogram and score can accurately predict OS before initiation of induction chemotherapy in LAPC-untreated patients. They may help to optimise clinical trials design and might offer the opportunity to define risk-adapted strategies for LAPC management in the future.
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One-Year Mortality in Older Patients with Cancer: Development and External Validation of an MNA-Based Prognostic Score. PLoS One 2016; 11:e0148523. [PMID: 26859298 PMCID: PMC4747505 DOI: 10.1371/journal.pone.0148523] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 01/20/2016] [Indexed: 12/26/2022] Open
Abstract
Purpose The MNA (Mini Nutritional Assessment) is known as a prognosis factor in older population. We analyzed the prognostic value for one-year mortality of MNA items in older patients with cancer treated with chemotherapy as the basis of a simplified prognostic score. Methods The prospective derivation cohort included 606 patients older than 70 years with an indication of chemotherapy for cancers. The endpoint to predict was one-year mortality. The 18 items of the Full MNA, age, gender, weight loss, cancer origin, TNM, performance status and lymphocyte count were considered to construct the prognostic model. MNA items were analyzed with a backward step-by-step multivariate logistic regression and other items were added in a forward step-by-step regression. External validation was performed on an independent cohort of 229 patients. Results At one year 266 deaths had occurred. Decreased dietary intake (p = 0.0002), decreased protein-rich food intake (p = 0.025), 3 or more prescribed drugs (p = 0.023), calf circumference <31cm (p = 0.0002), tumor origin (p<0.0001), metastatic status (p = 0.0007) and lymphocyte count <1500/mm3 (0.029) were found to be associated with 1-year mortality in the final model and were used to construct a prognostic score. The area under curve (AUC) of the score was 0.793, which was higher than the Full MNA AUC (0.706). The AUC of the score in validation cohort (229 subjects, 137 deaths) was 0.698. Conclusion Key predictors of one-year mortality included cancer cachexia clinical features, comorbidities, the origin and the advanced status of the tumor. The prognostic value of this model combining a subset of MNA items and cancer related items was better than the full MNA, thus providing a simple score to predict 1-year mortality in older patients with an indication of chemotherapy.
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