1
|
Currie GR, Groothuis-Oudshoorn CGM, Twilt M, Kip MMA, IJzerman MJ, Benseler SM, Swart JF, Vastert SJ, Wulffraat NM, Yeung R, Marshall DA. What matters most to pediatric rheumatologists in deciding whether to discontinue biologics in a child with juvenile idiopathic arthritis? A best-worst scaling survey. Clin Rheumatol 2023:10.1007/s10067-023-06616-6. [PMID: 37202606 DOI: 10.1007/s10067-023-06616-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 03/31/2023] [Accepted: 04/27/2023] [Indexed: 05/20/2023]
Abstract
OBJECTIVES Care for JIA patients has been transformed in the biologics era; however, biologics carry important (although rare) risks and are costly. Flares after biological withdrawal are seen frequently, yet there is little clinical guidance to identify which patients in clinical remission can safely have their biologic discontinued (by stopping or tapering). We examined what characteristics of the child or their context are important to pediatric rheumatologists when making the decision to discuss withdrawal of biologics. METHODS We conducted a survey including a best-worst scaling (BWS) exercise in pediatric rheumatologists who are part of the UCAN CAN-DU network to assess the relative importance of 14 previously identified characteristics. A balanced incomplete block design was used to generate choice tasks. Respondents evaluated 14 choice sets of 5 characteristics of a child with JIA and identified for each set which was the most and least important in the decision to offer withdrawal. Results were analyzed using conditional logit regression. RESULTS Fifty-one (out of 79) pediatric rheumatologists participated (response rate 65%). The three most important characteristics were how challenging it was to achieve remission, history of established joint damage, and time spent in remission. The three least important characteristics were history of temporomandibular joint involvement, accessibility of biologics, and the patient's age. CONCLUSIONS These findings give quantitative insight about factors important to pediatric rheumatologists' decision-making about biologic withdrawal. In addition to high quality clinical evidence, further research is needed to understand the perspective of patients and families to inform shared decision-making about biologic withdrawal for JIA patients with clinically inactive disease. Key Points ● What is already known on this topic-there is limited clinical guidance for pediatric rheumatologists in making decisions about biologic withdrawal for patients with juvenile idiopathic arthritis who are in clinical remission. ● What this study adds-this study quantitatively examined what characteristic of the child in clinical remission, or of their context, are most important to pediatric rheumatologists in deciding whether to offer withdrawal of biologics. ● How this study might affect research, practice or policy-understanding of these characteristics can provide useful information to other pediatric rheumatologists in making their decisions, and may guide areas to focus on for future research.
Collapse
Affiliation(s)
- Gillian R Currie
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
- Health Research Innovation Centre, Room 3C56, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
| | - Catherina G M Groothuis-Oudshoorn
- Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, the Netherlands
| | - Marinka Twilt
- Section of Rheumatology, Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Michelle M A Kip
- Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, the Netherlands
| | - Maarten J IJzerman
- Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, the Netherlands
| | - Susanne M Benseler
- Section of Rheumatology, Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Joost F Swart
- Department of Pediatric Immunology and Rheumatology, Wilhelmina Children's Hospital/UMC Utrecht, Utrecht, the Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, the Netherlands
| | - Sebastiaan J Vastert
- Department of Pediatric Immunology and Rheumatology, Wilhelmina Children's Hospital/UMC Utrecht, Utrecht, the Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, the Netherlands
| | - Nico M Wulffraat
- Department of Pediatric Immunology and Rheumatology, Wilhelmina Children's Hospital/UMC Utrecht, Utrecht, the Netherlands
- Faculty of Medicine, Utrecht University, Utrecht, the Netherlands
| | - Rae Yeung
- Departments of Paediatrics, Immunology and Medical Science, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Deborah A Marshall
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| |
Collapse
|
2
|
Nijmeijer WS, Voorthuis BJ, Groothuis-Oudshoorn CGM, Würdemann FS, van der Velde D, Vollenbroek-Hutten MMR, Hegeman JH. The prediction of early mortality following hip fracture surgery in patients aged 90 years and older: the Almelo Hip Fracture Score 90 (AHFS 90). Osteoporos Int 2023; 34:867-877. [PMID: 36856794 PMCID: PMC10104941 DOI: 10.1007/s00198-023-06696-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 02/06/2023] [Indexed: 03/02/2023]
Abstract
UNLABELLED The AHFS90 was developed for the prediction of early mortality in patients ≥ 90 years undergoing hip fracture surgery. The AHFS90 has a good accuracy and in most risk categories a good calibration. In our study population, the AHFS90 yielded a maximum prediction of early mortality of 64.5%. PURPOSE Identifying hip fracture patients with a high risk of early mortality after surgery could help make treatment decisions and information about the prognosis. This study aims to develop and validate a risk score for predicting early mortality in patients ≥ 90 years undergoing hip fracture surgery (AHFS90). METHODS Patients ≥ 90 years, surgically treated for a hip fracture, were included. A selection of possible predictors for mortality was made. Missing data were subjected to multiple imputations using chained equations. Logistic regression was performed to develop the AHFS90, which was internally and externally validated. Calibration was assessed using a calibration plot and comparing observed and predicted risks. RESULTS One hundred and two of the 922 patients (11.1%) died ≤ 30 days following hip fracture surgery. The AHFS90 includes age, gender, dementia, living in a nursing home, ASA score, and hemoglobin level as predictors for early mortality. The AHFS90 had good accuracy (area under the curve 0.72 for geographic cross validation). Predicted risks correspond with observed risks of early mortality in four risk categories. In two risk categories, the AHFS90 overestimates the risk. In one risk category, no mortality was observed; therefore, no analysis was possible. The AHFS90 had a maximal prediction of early mortality of 64.5% in this study population. CONCLUSION The AHFS90 accurately predicts early mortality after hip fracture surgery in patients ≥ 90 years of age. Predicted risks correspond to observed risks in most risk categories. In our study population, the AHFS90 yielded a maximum prediction of early mortality of 64.5%.
Collapse
Affiliation(s)
- W S Nijmeijer
- Department of Surgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP, Almelo, The Netherlands.
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands.
| | - B J Voorthuis
- Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
| | - C G M Groothuis-Oudshoorn
- Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
| | - F S Würdemann
- Dutch Hip Fracture Audit Taskforce Indicators, Rijnsburgerweg 10, 2333 AA, Leiden, The Netherlands
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands
| | - D van der Velde
- Dutch Hip Fracture Audit Taskforce Indicators, Rijnsburgerweg 10, 2333 AA, Leiden, The Netherlands
- Department of Surgery, Sint Antonius Hospital, Soestwetering 1, 3542 AZ, Utrecht, The Netherlands
| | - M M R Vollenbroek-Hutten
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
| | - J H Hegeman
- Department of Surgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP, Almelo, The Netherlands
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
- Dutch Hip Fracture Audit Taskforce Indicators, Rijnsburgerweg 10, 2333 AA, Leiden, The Netherlands
| | | |
Collapse
|
3
|
Smith IP, Whichello CL, Veldwijk J, Rutten-van Mölken MPMH, Groothuis-Oudshoorn CGM, Vos RC, de Bekker-Grob EW, de Wit GA. Diabetes patient preferences for glucose-monitoring technologies: results from a discrete choice experiment in Poland and the Netherlands. BMJ Open Diabetes Res Care 2023; 11:11/1/e003025. [PMID: 36649973 PMCID: PMC9853131 DOI: 10.1136/bmjdrc-2022-003025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/10/2022] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION New glucose-monitoring technologies have different cost-benefit profiles compared with traditional finger-prick tests, resulting in a preference-sensitive situation for patients. This study aimed to assess the relative value adults with diabetes assign to device attributes in two countries. RESEARCH DESIGN AND METHODS Adults with type 1 or 2 diabetes from the Netherlands (n=226) and Poland (n=261) completed an online discrete choice experiment. Respondents choose between hypothetical glucose monitors described using seven attributes: precision, effort to check, number of finger pricks required, risk of skin irritation, information provided, alarm function and out-of-pocket costs. Panel mixed logit models were used to determine attribute relative importance and to calculate expected uptake rates and willingness to pay (WTP). RESULTS The most important attribute for both countries was monthly out-of-pocket costs. Polish respondents were more likely than Dutch respondents to choose a glucose-monitoring device over a standard finger prick and had higher WTP for a device. Dutch respondents had higher WTP for device improvements in an effort to check and reduce the number of finger pricks a device requires. CONCLUSION Costs are the primary concern of patients in both countries when choosing a glucose monitor and would likely hamper real-world uptake. The costs-benefit profiles of such devices should be critically reviewed.
Collapse
Affiliation(s)
- Ian P Smith
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Chiara L Whichello
- Evidera, London, UK
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Jorien Veldwijk
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | | | - C G M Groothuis-Oudshoorn
- Health Technology and Services Research (HTSR), Faculty of Behavioural Management and Social Sciences, University of Twente, Enschede, The Netherlands
| | - Rimke C Vos
- Public Health and Primary Care/LUMC Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther W de Bekker-Grob
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - G Ardine de Wit
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| |
Collapse
|
4
|
de Vries BCS, Hegeman JH, Nijmeijer W, Geerdink J, Seifert C, Groothuis-Oudshoorn CGM. Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis. Osteoporos Int 2021; 32:437-449. [PMID: 33415373 DOI: 10.1007/s00198-020-05735-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/08/2020] [Indexed: 11/29/2022]
Abstract
UNLABELLED Four machine learning models were developed and compared to predict the risk of a future major osteoporotic fracture (MOF), defined as hip, wrist, spine and humerus fractures, in patients with a prior fracture. We developed a user-friendly tool for risk calculation of subsequent MOF in osteopenia patients, using the best performing model. INTRODUCTION Major osteoporotic fractures (MOFs), defined as hip, wrist, spine and humerus fractures, can have serious consequences regarding morbidity and mortality. Machine learning provides new opportunities for fracture prediction and may aid in targeting preventive interventions to patients at risk of MOF. The primary objective is to develop and compare several models, capable of predicting the risk of MOF as a function of time in patients seen at the fracture and osteoporosis outpatient clinic (FO-clinic) after sustaining a fracture. METHODS Patients aged > 50 years visiting an FO-clinic were included in this retrospective study. We compared discriminative ability (concordance index) for predicting the risk on MOF with a Cox regression, random survival forests (RSF) and an artificial neural network (ANN)-DeepSurv model. Missing data was imputed using multiple imputations by chained equations (MICE) or RSF's imputation function. Analyses were performed for the total cohort and a subset of osteopenia patients without vertebral fracture. RESULTS A total of 7578 patients were included, 805 (11%) patients sustained a subsequent MOF. The highest concordance-index in the total dataset was 0.697 (0.664-0.730) for Cox regression; no significant difference was determined between the models. In the osteopenia subset, Cox regression outperformed RSF (p = 0.043 and p = 0.023) and ANN-DeepSurv (p = 0.043) with a c-index of 0.625 (0.562-0.689). Cox regression was used to develop a MOF risk calculator on this subset. CONCLUSION We show that predicting the risk of MOF in patients who already sustained a fracture can be done with adequate discriminative performance. We developed a user-friendly tool for risk calculation of subsequent MOF in patients with osteopenia.
Collapse
Affiliation(s)
- B C S de Vries
- Department of Trauma Surgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP, Almelo, The Netherlands.
| | - J H Hegeman
- Department of Trauma Surgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP, Almelo, The Netherlands
- Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands
| | - W Nijmeijer
- Department of Trauma Surgery, Ziekenhuisgroep Twente, Zilvermeeuw 1, 7609 PP, Almelo, The Netherlands
| | - J Geerdink
- Department of Information & Organization, Ziekenhuisgroep Twente, Almelo, The Netherlands
| | - C Seifert
- Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands
| | - C G M Groothuis-Oudshoorn
- Health Technology and Services Research, Techmed Centre, University of Twente, Enschede, The Netherlands
| |
Collapse
|
5
|
van Nijnatten TJA, van Tiel LPT, Voogd AC, Groothuis-Oudshoorn CGM, Siesling S, Lobbes MBI. The effect of breast MRI on disease-free and overall survival in breast cancer patients: a retrospective population-based study. Breast Cancer Res Treat 2020; 184:951-963. [PMID: 32930928 PMCID: PMC7655574 DOI: 10.1007/s10549-020-05906-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 08/31/2020] [Indexed: 01/19/2023]
Abstract
Purpose To evaluate the effect of breast MRI on overall survival (OS) and disease-free survival (DFS) of patients with invasive breast cancer in the Netherlands. Methods We selected all women from the Netherlands Cancer Registry diagnosed with invasive breast cancer (a) between 2011 and 2013 for the OS-cohort and (b) in the first quarter of 2012 for the DFS-cohort. The study population was subdivided into an MRI and non-MRI group. In addition, subgroups were created according to breast cancer subtype: invasive carcinoma of no special type (NST) versus invasive lobular carcinoma (ILC). OS and DFS were compared between the MRI and non-MRI group using the Kaplan–Meier method and the log-rank test. Cox proportional hazard regression analysis was performed to estimate hazard ratios (HR) with a 95% confidence interval (CI). To account for missing data, multiple imputation was performed. Results Of the 31,756 patients included in the OS-cohort (70% non-MRI and 30% MRI), 27,752 (87%) were diagnosed with invasive carcinoma NST and 4004 (13%) with ILC. Of the 2464 patients included in the DFS-cohort (72% non-MRI and 28% MRI), 2161 (88%) were diagnosed with invasive carcinoma NST and 303 (12%) with ILC. The distribution of breast MRI use was significantly lower over different age categories, from 49.0% aged < 50 to 16.5% aged > 70. Multivariable Cox regression showed that breast MRI was not significantly associated with OS overall (HR 0.91, 95%-CI 0.74–1.11, p = 0.35), nor in the different histological subtypes. Multivariable Cox regression analysis showed that breast MRI was also not significantly associated with DFS (HR 1.16, 95%-CI 0.81–1.67), nor in the different histological subtypes. Conclusion Use of breast MRI was not significantly associated with an improved OS or DFS in patients treated with primary surgery. Electronic supplementary material The online version of this article (10.1007/s10549-020-05906-w) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- T J A van Nijnatten
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
- GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands.
| | - L P T van Tiel
- Department of Health Technology and Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - A C Voogd
- GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
- Department of Epidemiology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - C G M Groothuis-Oudshoorn
- Department of Health Technology and Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - S Siesling
- Department of Health Technology and Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - M B I Lobbes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW - School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands
- Department of Medical Imaging, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| |
Collapse
|
6
|
Boere-Boonekamp M, van Til JA, Groothuis-Oudshoorn CGM, Kocken PL. Public priorities for primary healthcare for children in five European countries. Eur J Public Health 2018. [DOI: 10.1093/eurpub/cky214.180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- M Boere-Boonekamp
- Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
| | - J A van Til
- Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
| | | | | |
Collapse
|
7
|
Detmar SB, Hosli EJ, Chorus AMJ, van Beekum T, Vogels T, Mourad-Baars PEC, Engelberts AC, Groothuis-Oudshoorn CGM, Verrips GHW. The development and validation of a handicap questionnaire for children with a chronic illness. Clin Rehabil 2016; 19:73-80. [PMID: 15704511 DOI: 10.1191/0269215505cr825oa] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Introduction: This paper describes the development and initial psychometric evaluation of the Handicap Scale for Children (HSC). This questionnaire is based on the London Handicap Scale (LHS), a valid and reliable utility instrument for measuring social participation in adults. Methods: A multidisciplinary research group was involved in developing the HSC. The questionnaire was tested in 114 children with a chronic disease and 239 healthy children in the 8-18 age range. Relating the Health Utility Index Mark 3 (HUI3) attributes to corresponding HSC scores tested the assumption that a negative health status would lead to participation problems. Results: Questionnaire development resulted in a five-dimension questionnaire: mobility, physical independence, daily activities, social integration and orientation. Each dimension included one item with a six-point response scale. A higher score indicates greater handicap. Feasibility testing with 10 children showed that none of the children experienced difficulties in filling in the questionnaire. Conceptual validity, measured by correlations between the dimensions of the HSC and HUI3, was satisfactory. As expected, moderate correlation coefficients between predefined pairs of HUI and HSC attributes were found; other correlation coefficients were low. Criterion validity was also satisfactory, as shown by large differences between the healthy and the chronically ill group and by several criteria within the chronically ill group. Conclusion: Based on this initial evaluation, the questionnaire seems feasible and valid for use with children in the age range 8-18 years.
Collapse
Affiliation(s)
- S B Detmar
- TNO Prevention and Health, Leiden, The Netherlands.
| | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Siesling S, van Kleef JJ, Bretveld R, Groothuis-Oudshoorn CGM, van der Palen J, Jobsen JJ, Struikmans H. Abstract P3-07-68: Population-based validation study of Adjuvant! for primary breast cancer patients in the Netherlands. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p3-07-68] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background Adjuvant! is an online risk prediction tool that can support breast cancer patients and physicians in clinical decision-making regarding adjuvant systemic treatment. The aim of this study was to validate Adjuvant! on a Dutch population-based cohort of women diagnosed in 2003 and assess its calibration and discriminatory accuracy.
Methods All Dutch patients diagnosed with invasive primary breast cancer in 2003 in the Netherlands meeting the criteria of Adjuvant!; unilateral, unicentric invasive breast cancer, no evidence of metastatic or residual disease, pathologically staged I-III and no pT4 features, were included. Local treatment consisted of breast conserving therapy or ablative surgery and axillary staging. Adjuvant systemic treatment was given according to national guidelines. Patient, tumor and treatment characteristics were retrieved from the Netherlands Cancer Registry. Endpoints were ten-year overall survival, breast cancer specific survival and event free survival.
Findings A total of 8,195 patients were included. Out of all patients, 4,389 (53.6%) received some form of adjuvant systemic therapy. Throughout a ten-year follow-up, 2,156 (26.3%) patients died and 1,953 (23.8%) patients developed a recurrent disease (locoregional, distant or contralateral invasive cancer or DCIS). Ten-year observed overall survival was underestimated by -1.4% (95% CI -2.3 to -0.4, p=0.006), breast cancer specific survival was underestimated by -3.3% (95% CI -4.1 to -2.6, p<0.0001) and event free survival was underestimated by -3.5% (95% CI -4.5 to -2.6, p<0.0001). Discrimination was moderate for overall survival and breast cancer specific survival but poor for event free survival.
Interpretation Adjuvant! does not accurately predict breast cancer specific survival and event free survival in this Dutch population-based study. Dutch patients showed better ten-year survival rates than predicted by Adjuvant!. For specific patient groups, the model could be used to estimate overall survival. We conclude that Adjuvant! should be used with caution in clinical practice in the Netherlands but probably also in other countries and the US.
Citation Format: Siesling S, van Kleef JJ, Bretveld R, Groothuis-Oudshoorn CGM, van der Palen J, Jobsen JJ, Struikmans H. Population-based validation study of Adjuvant! for primary breast cancer patients in the Netherlands. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-68.
Collapse
Affiliation(s)
- S Siesling
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - JJ van Kleef
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - R Bretveld
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - CGM Groothuis-Oudshoorn
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - J van der Palen
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - JJ Jobsen
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| | - H Struikmans
- University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine, Enschede, Overijssel, Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; Medisch Spectrum Twente; Medical School Twente, Enschede, Overijssel, Netherlands; University of Twente, Enschede, Overijssel, Netherlands; Medisch Spectrum Twente, Enschede, Overijssel, Netherlands; MC Haaglanden, Den Haag, Zuid-Holland, Netherlands; Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands
| |
Collapse
|
9
|
Broekhuizen H, IJzerman MJ, Hauber AB, Groothuis-Oudshoorn CGM. Patient Preferences And Hiv Drugs: What About Uncertainty? Value Health 2014; 17:A565. [PMID: 27201874 DOI: 10.1016/j.jval.2014.08.1879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
| | - M J IJzerman
- University of Twente and MIRA institute for Biomedical Technology & Technical Medicine, Enschede, The Netherlands
| | - A B Hauber
- RTI Health Solutions, Research Triangle Park, NC, USA
| | | |
Collapse
|
10
|
Weernink MGM, Groothuis-Oudshoorn CGM, IJzerman MJ, van Til JA. Comparison of the Valuation of Treatment Alternatives in Parkinson's Disease with Best-Worst Scaling, Time Trade-off and Visual Analogue Scales. Value Health 2014; 17:A401. [PMID: 27200960 DOI: 10.1016/j.jval.2014.08.914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
| | | | - M J IJzerman
- University of Twente and MIRA institute for Biomedical Technology & Technical Medicine, Enschede, The Netherlands
| | - J A van Til
- University of Twente, Enschede, The Netherlands
| |
Collapse
|
11
|
Dubbeldam R, Nene AV, Buurke JH, Groothuis-Oudshoorn CGM, Baan H, Drossaers-Bakker KW, van de Laar MAFJ, Hermens H. Foot and ankle joint kinematics in rheumatoid arthritis cannot only be explained by alteration in walking speed. Gait Posture 2011; 33:390-5. [PMID: 21295983 DOI: 10.1016/j.gaitpost.2010.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2010] [Revised: 12/03/2010] [Accepted: 12/09/2010] [Indexed: 02/02/2023]
Abstract
Rheumatoid arthritis (RA) manifests itself in the foot and ankle of RA patients. The foot and ankle joint kinematics of these patients differ from that of healthy subjects. However, the factors that lead to these differences are not yet fully understood. The aim of this study was to analyse the effect of walking speed and the disease process on foot and ankle joint kinematics of RA subjects. Gait recordings of 23 RA and 14 age-matched healthy subjects were performed and their foot and ankle joint kinematics were analysed during the stance phase of the gait cycle. Stance phase characteristics of the group of RA subjects and of the group of healthy subjects were compared. The healthy subjects walked at 100% (Vc), 75% (V75) and 50% (V50) of their comfortable walking speed. In a multi-level linear model significant differences between the two groups due to the factors walking speed and the disease process were analysed. The ankle dorsi-flexion, medial arch and hallux abduction motion at single-stance and toe-off were only influenced by the walking speed. The hallux maximum flexion at toe-off and the midfoot supination at single-stance were influenced by both the walking speed and the disease process. The hindfoot eversion motion at single-stance was only influenced by the disease process. In conclusion, the reduction of walking speed of RA subjects compared to healthy subjects does not explain all of the observed foot and ankle kinematics differences.
Collapse
Affiliation(s)
- R Dubbeldam
- Roessingh Research and Development, Roessinghsbleekweg 33b,7522 AH Enschede, The Netherlands.
| | | | | | | | | | | | | | | |
Collapse
|
12
|
Dubbeldam R, Buurke JH, Simons C, Groothuis-Oudshoorn CGM, Baan H, Nene AV, Hermens HJ. The effects of walking speed on forefoot, hindfoot and ankle joint motion. Clin Biomech (Bristol, Avon) 2010; 25:796-801. [PMID: 20619515 DOI: 10.1016/j.clinbiomech.2010.06.007] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2009] [Revised: 06/03/2010] [Accepted: 06/03/2010] [Indexed: 02/07/2023]
Abstract
BACKGROUND Foot and ankle joint kinematic differences have been identified between healthy subjects and subjects with various pathologies suffering from foot and ankle impairments. Changes in temporal factors such as walking speed and double stance time are also found in these pathological conditions. As such, in theory, these factors would also influence the kinematics and hence make it difficult to ascertain the effects of the disease on the kinematics. The aim of this study was to analyse foot and ankle kinematics from gait recordings of healthy subjects walking at comfortable and slower speeds. METHODS Gait patterns of 14 healthy subjects were recorded. The subjects were first asked to walk at a comfortable speed and then at predefined speeds of 75% and 50% of their comfortable walking speed respectively. Temporal variables were calculated. Foot and ankle joint kinematics were determined from marker-recordings. FINDINGS The subjects walked at mean velocities of 1.28 m/s, 0.97 m/s and 0.65 m/s. With decreasing walking speed the minimum tibio-talar plantar-flexion and maximum hallux dorsi-flexion at toe-off decreased significantly between 3 degrees and 9 degrees. The minimum medial arch at toe-off and minimum midfoot supination at mid-stance were significantly affected by the walking speed. The corresponding individual session differences were small (1 degrees -2 degrees), but the reliability was high and hence the differences were considered clinically relevant. INTERPRETATION Walking speed significantly affected foot and ankle kinematics. Studies aiming to improve the understanding of the effects of foot and ankle pathologies on foot and ankle kinematics should take the walking speed into account.
Collapse
Affiliation(s)
- R Dubbeldam
- Roessingh Research and Development, Roessinghsbleekweg 33b, 7522 AH Enschede, The Netherlands.
| | | | | | | | | | | | | |
Collapse
|
13
|
Voerman GE, Sandsjö L, Vollenbroek-Hutten MMR, Groothuis-Oudshoorn CGM, Hermens HJ. The influence of different intermittent myofeedback training schedules on learning relaxation of the trapezius muscle while performing a gross-motor task. Eur J Appl Physiol 2004; 93:57-64. [PMID: 15232700 DOI: 10.1007/s00421-004-1161-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2004] [Indexed: 10/26/2022]
Abstract
The aim of this study was to investigate the influence of different intermittent myofeedback training schedules, as provided by a Cinderella-based myofeedback system, on learning relaxation and resistance to extinction of the trapezius muscle, in subjects performing a unilateral gross-motor task. Eighteen healthy subjects performed the task without and with feedback to study baseline and learning relaxation. Subsequently, resistance to extinction was investigated by performing the task without feedback. The gross-motor task consisted of continuously moving the dominant arm between three target areas at a constant pace. Subjects were randomly assigned into three groups, characterized by the sequence of feedback schedules with which the task was performed on 3 consecutive days. Auditory feedback was provided after a 5-, 10-, or 20-s interval when a pre-set level of 80% rest was not reached. Bipolar surface electromyography recordings performed at the dominant upper trapezius muscle were quantified using relative rest time (RRT) and root mean square (RMS) parameters. Learning relaxation was defined as an increase in RRT and a decrease in RMS values. Results showed the highest RRT levels as well as a decrease in RMS for the 10-s schedule. Additionally, the 10-s schedule was unique in its ability to elevate muscular rest above the 20% level, which may be considered relevant in preventing myalgia. None of the three schedules showed resistance to extinction. It was concluded that the 10-s interval was preferred over the 5- and 20-s schedules in learning trapezius relaxation in subjects performing a unilateral gross-motor task.
Collapse
Affiliation(s)
- G E Voerman
- Roessingh Research and Development, P.O. Box 310, 7500 AH, Enschede, The Netherlands.
| | | | | | | | | |
Collapse
|