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Lim SJ, Jang SI. Leveraging National Health Insurance Service Data for Public Health Research in Korea: Structure, Applications, and Future Directions. J Korean Med Sci 2025; 40:e111. [PMID: 40034096 DOI: 10.3346/jkms.2025.40.e111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Accepted: 02/16/2025] [Indexed: 03/05/2025] Open
Abstract
The National Health Insurance Service (NHIS) database serves as a crucial resource for public health research in Korea. As a comprehensive dataset within the single-payer healthcare system, NHIS data provides longitudinal insights into healthcare utilization, disease prevalence, and health outcomes. This review article explores the structure, characteristics, and applications of NHIS data, emphasizing its role in epidemiological studies, health policy evaluations, and clinical research. We discuss key methodological considerations, including data access procedures, outcome measures, and strategies to mitigate bias. Additionally, we highlight future directions, such as integrating NHIS data with other national health datasets and utilizing artificial intelligence for predictive analytics. By leveraging the NHIS database, researchers can enhance evidence-based policymaking and improve public health outcomes in Korea.
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Affiliation(s)
- Seung-Ji Lim
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Korea
| | - Sung-In Jang
- Health Insurance Research Institute, National Health Insurance Service, Wonju, Korea
- Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Korea.
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2
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Behera M, Singh L, Pradhan B, Behera KC. Seaweed-Derived Bioactive Compounds: Potent Modulators in Breast Cancer Therapy. Chem Biodivers 2024:e202401613. [PMID: 39652742 DOI: 10.1002/cbdv.202401613] [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: 07/07/2024] [Revised: 12/07/2024] [Accepted: 12/09/2024] [Indexed: 12/18/2024]
Abstract
Cancer remains a major global health concern, with breast cancer being particularly challenging. To address this, new therapeutic strategies are being explored, including natural alternatives. Seaweeds, rich in bioactive compounds, have gained attention for their therapeutic potential. Traditionally valued for their nutritional content, seaweed-derived compounds such as polysaccharides, polyphenols, sterols, vitamins, minerals, and carotenoids have shown anticancer properties. These compounds can modulate key cellular processes like apoptosis, angiogenesis, and inflammation-crucial in cancer progression. Their antioxidant, anti-inflammatory, and immunomodulatory effects make them promising candidates for complementary cancer therapies. Key bioactive components like fucoidans, laminarins, phlorotannins, and carotenoids exhibit antiproliferative, proapoptotic, antiangiogenic, and antimetastatic properties. Recent studies focus on the ability of these compounds to induce apoptosis in cancer cells. This review highlights the chemical constituents of various seaweed species with antitumor activity, their mechanisms of action, and the potential for integration into cancer treatments. It also addresses challenges in clinical applications and outlines future research directions for leveraging these marine resources in breast cancer therapy.
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Affiliation(s)
- Maheswari Behera
- Department of Botany, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India
| | - Lakshmi Singh
- Department of Botany, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India
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Sanchez DN, Derks MGM, Verstijnen JA, Menges D, Portielje JEA, Van den Bos F, Bastiaannet E. Frequency of use and characterization of frailty assessments in observational studies on older women with breast cancer: a systematic review. BMC Geriatr 2024; 24:563. [PMID: 38937703 PMCID: PMC11212278 DOI: 10.1186/s12877-024-05152-5] [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: 12/04/2023] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Breast cancer and frailty frequently co-occur in older women, and frailty status has been shown to predict negative health outcomes. However, the extent to which frailty assessments are utilized in observational research for the older breast cancer population is uncertain. Therefore, the aim of this review was to determine the frequency of use of frailty assessments in studies investigating survival or mortality, and characterize them, concentrating on literature from the past 5 years (2017-2022). METHODS MEDLINE, EMBASE and Cochrane Library were systematically queried to identify observational studies (case-control, cohort, cross-sectional) published from 2017-2022 that focus on older females (≥ 65 years) diagnosed with breast cancer, and which evaluate survival or mortality outcomes. Independent reviewers assessed the studies for eligibility using Covidence software. Extracted data included characteristics of each study as well as information on study design, study population, frailty assessments, and related health status assessments. Risk of bias was evaluated using the appropriate JBI tool. Information was cleaned, classified, and tabulated into review level summaries. RESULTS In total, 9823 studies were screened for inclusion. One-hundred and thirty studies were included in the final synthesis. Only 11 (8.5%) of these studies made use of a frailty assessment, of which 4 (3.1%) quantified frailty levels in their study population, at baseline. Characterization of frailty assessments demonstrated that there is a large variation in terms of frailty definitions and resulting patient classification (i.e., fit, pre-frail, frail). In the four studies that quantified frailty, the percentage of individuals classified as pre-frail and frail ranged from 18% to 29% and 0.7% to 21%, respectively. Identified frailty assessments included the Balducci score, the Geriatric 8 tool, the Adapted Searle Deficits Accumulation Frailty index, the Faurot Frailty index, and the Mian Deficits of Accumulation Frailty Index, among others. The Charlson Comorbidity Index was the most used alternative health status assessment, employed in 56.9% of all 130 studies. Surprisingly, 31.5% of all studies did not make use of any health status assessments. CONCLUSION Few observational studies examining mortality or survival outcomes in older women with breast cancer incorporate frailty assessments. Additionally, there is significant variation in definitions of frailty and classification of patients. While comorbidity assessments were more frequently included, the pivotal role of frailty for patient-centered decision-making in clinical practice, especially regarding treatment effectiveness and tolerance, necessitates more deliberate attention. Addressing this oversight more explicitly could enhance our ability to interpret observational research in older cancer patients.
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Affiliation(s)
- Dafne N Sanchez
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zürich, Hirschengraben 82, Zurich, CH-8001, Switzerland
| | - Marloes G M Derks
- Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jose A Verstijnen
- Department of Medical Oncology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zürich, Hirschengraben 82, Zurich, CH-8001, Switzerland
| | | | - Frederiek Van den Bos
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther Bastiaannet
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zürich, Hirschengraben 82, Zurich, CH-8001, Switzerland.
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Christofyllakis K, Monteiro AR, Cetin O, Kos IA, Greystoke A, Luciani A. Biomarker guided treatment in oncogene-driven advanced non-small cell lung cancer in older adults: A Young International Society of Geriatric Oncology Report. J Geriatr Oncol 2022; 13:1071-1083. [PMID: 35525790 DOI: 10.1016/j.jgo.2022.04.013] [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: 12/15/2021] [Revised: 04/08/2022] [Accepted: 04/25/2022] [Indexed: 10/18/2022]
Abstract
Lung cancer remains the leading cause of cancer-related deaths worldwide, with most patients diagnosed at an advanced age. The treatment of non-small cell lung cancer (NSCLC) has been revolutionized with the introduction of molecular guided therapy. Despites the challenges when considering treatment of older adults, they are still systematically underrepresented in registrational trials. This review aims to summarize the existing evidence on treatment of older patients with lung cancer with a targetable driver mutation or alteration (EGFR, ALK, ROS, BRAFV600E, MET, RET, KRASG12C and NTRK), and consider the evidence from a geriatric oncology perspective. Early generation EGFR-tyrosine kinase inhibitors (TKIs). TKIs are fairly well-studied in older adults and have been shown to be safe and efficient. However, older adult-specific data regarding the standard-of-care first-line agent osimertinib are lacking. Erlotinib, dacomitinib, and afatinib may be more toxic than other EGFR-TKIs. Next generation ALK-TKIs are preferred over crizotinib due to increased efficacy, as demonstrated in phase III trials. Alectinib seems to be safer than crizotinib, while brigatinib is associated with increased toxicity. Lorlatinib overcomes most resistance mutations, but data regarding this agent have only recently emerged. Regarding ROS1-fusion positive NSCLC, crizotinib is an option in older adults, while entrectinib is similarly effective but shows increased neurotoxicity. In BRAFV600E-mutant NSCLC, the combination darbafenib/tramectinib is effective, but no safety data for older adults exist. MET alterations can be targeted with capmatinib and tepotinib, and registrational trials included primarily older patients, due to the association of this alteration with advanced age. For RET-rearranged-NSCLC selpercatinib and pralsetinib are approved, and no differences in safety or efficacy between older and younger patients were shown. KRASG12C mutations, which are more frequent in older adults, became recently druggable with sotorasib, and advanced age does not seem to affect safety or efficacy. In NTRK-fusion positive tumors, larotrectinib and entrectinib have tumor agnostic approval, however, not enough data on older patients are available. Based on currently available data, molecularly-guided therapy for most alterations is safe and efficacious in older adults with oncogene-driven advanced NSCLC. However, for many TKIs, older adult-specific data are lacking, and should be subject of future prospective evaluations.
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Affiliation(s)
- Konstantinos Christofyllakis
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, Saarland University Medical Center, Homburg, Germany.
| | - Ana Raquel Monteiro
- Medical Oncology Department, Vila Nova de Gaia/Espinho Hospital Center, Vila Nova de Gaia, Portugal; Multidisciplinary Thoracic Tumors Unit - Pulmonology Department, Vila Nova de Gaia/Espinho Hospital Center, Vila Nova de Gaia, Portugal
| | - Onur Cetin
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, Saarland University Medical Center, Homburg, Germany
| | - Igor Age Kos
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, Saarland University Medical Center, Homburg, Germany
| | - Alastair Greystoke
- Northern Centre for Cancer Care, Newcastle-upon-Tyne NHS Foundation trust, Newcastle, UK
| | - Andrea Luciani
- Department of Medical Oncology, Ospedale di Treviglio- ASST Bergamo Ovest, Treviglio, Italy
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Kleckner AS, Wells M, Kehoe LA, Gilmore NJ, Xu H, Magnuson A, Dunne RF, Jensen-Battaglia M, Mohamed MR, O'Rourke MA, Vogelzang NJ, Dib EG, Peppone LJ, Mohile SG. Using Geriatric Assessment to Guide Conversations Regarding Comorbidities Among Older Patients With Advanced Cancer. JCO Oncol Pract 2022; 18:e9-e19. [PMID: 34228510 PMCID: PMC8758128 DOI: 10.1200/op.21.00196] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/10/2021] [Accepted: 06/08/2021] [Indexed: 01/03/2023] Open
Abstract
PURPOSE Older patients with advanced cancer often have comorbidities that can worsen their cancer and treatment outcomes. We assessed how a geriatric assessment (GA)-guided intervention can guide conversations about comorbidities among patients, oncologists, and caregivers. METHODS This secondary analysis arose from a nationwide, multisite cluster-randomized trial (ClinicalTrials.gov identifier: NCT02107443). Eligible patients were ≥ 70 years, had advanced cancer (solid tumors or lymphoma), and had impairment in at least one GA domain (not including polypharmacy). Oncology practices (n = 30) were randomly assigned to usual care or intervention. All patients completed a GA; in the intervention arm, a GA summary with recommendations was provided to their oncologist. Patients completed an Older Americans Resources and Services Comorbidity questionnaire at screening. The clinical encounter following GA was audio-recorded, transcribed, and coded for topics related to comorbidities. Linear mixed models examined the effect of the intervention on the outcomes adjusting for practice site as a random effect. RESULTS Patients (N = 541) were 76.6 ± 5.2 years old; 94.6% of patients had at least one comorbidity with an average of 3.2 ± 1.9. The intervention increased the average number of conversations regarding comorbidities per patient from 0.52 to 0.99 (P < .01). Moreover, there were a greater number of concerns acknowledged (0.52 v 0.32; P = .03) and there was a 2.4-times higher odds of having comorbidity concerns addressed via referral, handout, or other modes (95% CI, 1.3 to 4.3; P = .004). Most oncologists in the intervention arm (76%) discussed comorbidities in light of the treatment plan, and 41% tailored treatment plans. CONCLUSION Providing oncologists with a GA-guided intervention enhanced communication regarding comorbidities.
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Affiliation(s)
- Amber S. Kleckner
- Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY
| | - Megan Wells
- Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | - Lee A. Kehoe
- Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY
| | - Nikesha J. Gilmore
- Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY
| | - Huiwen Xu
- Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY
| | - Allison Magnuson
- Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | - Richard F. Dunne
- Department of Medicine, University of Rochester Medical Center, Rochester, NY
| | | | - Mostafa R. Mohamed
- Department of Public Health, University of Rochester Medical Center, Rochester, NY
| | - Mark A. O'Rourke
- NCORP of the Carolinas, Prisma Health Cancer Institute, Greenville, SC
| | | | - Elie G. Dib
- St Joseph Mercy Cancer Center, Ann Arbor, MI
| | - Luke J. Peppone
- Division of Supportive Care in Cancer, Department of Surgery, University of Rochester Medical Center, Rochester, NY
| | - Supriya G. Mohile
- Department of Medicine, University of Rochester Medical Center, Rochester, NY
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Herrstedt J, Lindberg S, Petersen PC. Prevention of Chemotherapy-Induced Nausea and Vomiting in the Older Patient: Optimizing Outcomes. Drugs Aging 2021; 39:1-21. [PMID: 34882284 PMCID: PMC8654643 DOI: 10.1007/s40266-021-00909-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/17/2021] [Indexed: 11/25/2022]
Abstract
Chemotherapy-induced nausea and vomiting (CINV) are still two of the most feared side effects of cancer therapy. Although major progress in the prophylaxis of CINV has been made during the past 40 years, nausea in particular remains a significant problem. Older patients have a lower risk of CINV than younger patients, but are at a higher risk of severe consequences of dehydration and electrolyte disturbances following emesis. Age-related organ deficiencies, comorbidities, polypharmacy, risk of drug–drug interactions, and lack of compliance all need to be addressed in the older patient with cancer at risk of CINV. Guidelines provide evidence-based recommendations for the prophylaxis of CINV, but none of these guidelines offer specific recommendations for older patients with cancer. This means that the recommendations may lead to overtreatment in some older patients. This review describes the development of antiemetic prophylaxis of CINV focusing on older patients, summarizes recommendations from antiemetic guidelines, describes deficiencies in our knowledge of older patients, summarizes necessary precautions, and suggests some future perspectives for antiemetic research in older patients.
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Affiliation(s)
- Jørn Herrstedt
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde and Næstved, Sygehusvej 10, 4000, Roskilde, Denmark. .,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
| | - Sanne Lindberg
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde and Næstved, Sygehusvej 10, 4000, Roskilde, Denmark
| | - Peter Clausager Petersen
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde and Næstved, Sygehusvej 10, 4000, Roskilde, Denmark
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Bharath B, Perinbam K, Devanesan S, AlSalhi MS, Saravanan M. Evaluation of the anticancer potential of Hexadecanoic acid from brown algae Turbinaria ornata on HT–29 colon cancer cells. J Mol Struct 2021. [DOI: 10.1016/j.molstruc.2021.130229] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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Use of Non-Cancer Medications in New Zealand Women at the Diagnosis of Primary Invasive Breast Cancer: Prevalence, Associated Factors and Effects on Survival. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217962. [PMID: 33138255 PMCID: PMC7663632 DOI: 10.3390/ijerph17217962] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/20/2020] [Accepted: 10/26/2020] [Indexed: 11/17/2022]
Abstract
Background: Assessing the use of multiple medications in cancer patients is crucial as such use may affect cancer outcomes. This study reports the prevalence of non-cancer medication use at breast cancer diagnosis, its associated factors, and its effect on survival. Methods: We identified all women diagnosed with primary invasive breast cancer between 1 January 2007 and 31 December 2016, from four population-based breast cancer registries, in Auckland, Waikato, Wellington, and Christchurch, New Zealand. Through linkage to the pharmaceutical records, we obtained information on non-cancer medications that were dispensed for a minimum of 90 days’ supply between one year before cancer diagnosis and first cancer treatment. We performed ordered logistic regressions to identify associated factors and Cox regressions to investigate its effect on patient survival. Results: Of 14,485 patients, 52% were dispensed at least one drug (mean—1.3 drugs; maximum—13 drugs), with a higher prevalence observed in patients who were older, treated at a public facility, more economically deprived, and screen-detected. The use of 2–3 drugs showed a reduced non-breast cancer mortality (HR = 0.75, 95%CI = 0.60–0.92) in previously hospitalised patients, with other groups showing non-significant associations when adjusted for confounding factors. Drug use was not associated with changes in breast cancer-specific mortality. Conclusions: Non-cancer medication use at breast cancer diagnosis was common in New Zealand, more prevalent in older and disadvantaged women, and showed no effect on breast cancer-specific mortality, but a reduction in other cause mortality with the use of 2–3 drugs.
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Choukroun C, Leguelinel-Blache G, Roux-Marson C, Jamet C, Martin-Allier A, Kinowski JM, Le Guillou C, Richard H, Antoine V. Impact of a pharmacist and geriatrician medication review on drug-related problems in older outpatients with cancer. J Geriatr Oncol 2020; 12:57-63. [PMID: 32800700 DOI: 10.1016/j.jgo.2020.07.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/26/2020] [Accepted: 07/18/2020] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Older patients with cancer have increased risk for comorbidity, polypharmacy (PP) and drug related problems (DRP). The aim of this study was to assess the effect of a clinical pharmacist and geriatrician medication review (MR) among older outpatients with cancer to optimize management of comorbidities during comprehensive geriatric assessment (CGA). MATERIAL AND METHODS We conducted a single-center prospective study among older outpatients with cancer (≥75 years). A pharmacist consultation was added into CGA process. The clinical pharmacist detected and assessed PP and DRP such as potentially inappropriate medications (PIM) according to the Laroche French list and STOPP criteria, START criteria and adverse drug events (ADE) risk. After a multidisciplinary MR, the proposals for prescription modification were sent to general practitioners (GPs). RESULTS Fifty-one consenting patients were recruited between May 2016 and March 2017, with a median age of 83 years. Prevalence of PP was 80.4%. 165 DRP were detected among 86% patients (median number of DRP = 3.0): 19.4% were misuse, 43.6% underuse, and 37.0% overuse. A significant decrease was observed in prevalence of PIM use (Laroche: 31.4% versus 5.9%, p = 0.002), START criteria (66.7% to 5.9%; P < 0.001) and ADE score (4.0 before MR versus 2.0 after, p = 0.023). A trend was observed for a lower number of medications (10.0 versus 8.0, p = 0.092) and on STOPP criteria prevalence (56.9% versus 31.4%, p = 0.12). CONCLUSION A clinical pharmacist and a geriatrician MR is effective to detect and reduce DRP in older outpatients with cancer.
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Affiliation(s)
- Chloé Choukroun
- Department of Pharmacy, CHU Nimes, Univ Montpellier, Nimes, France.
| | - Géraldine Leguelinel-Blache
- Department of Pharmacy, CHU Nimes, Univ Montpellier, Nimes, France; UPRES EA2415, Laboratory of Biostatistics, Epidemiology, Clinical Research and Health Economics, Clinical Research University Institute, Univ Montpellier, Montpellier, France; Department of Law and Health Economics, Univ Montpellier, Montpellier, France
| | | | - Charlotte Jamet
- Department of Pharmacy, CHU Nimes, Univ Montpellier, Nimes, France
| | - Amy Martin-Allier
- Department of Geriatric Medicine, CHU Nimes, Univ Montpellier, Nimes, France
| | - Jean-Marie Kinowski
- Department of Pharmacy, CHU Nimes, Univ Montpellier, Nimes, France; UPRES EA2415, Laboratory of Biostatistics, Epidemiology, Clinical Research and Health Economics, Clinical Research University Institute, Univ Montpellier, Montpellier, France
| | - Cédric Le Guillou
- Department of Geriatric Medicine, CHU Nimes, Univ Montpellier, Nimes, France
| | - Hélène Richard
- Department of Pharmacy, CHU Nimes, Univ Montpellier, Nimes, France
| | - Valéry Antoine
- Department of Geriatric Medicine, CHU Nimes, Univ Montpellier, Nimes, France
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Shrestha S, Shrestha S, Khanal S. Polypharmacy in elderly cancer patients: Challenges and the way clinical pharmacists can contribute in resource-limited settings. Aging Med (Milton) 2019; 2:42-49. [PMID: 31942511 PMCID: PMC6880671 DOI: 10.1002/agm2.12051] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/17/2019] [Accepted: 01/21/2019] [Indexed: 12/25/2022] Open
Abstract
The aim of this study was to address the problems associated with polypharmacy in elderly cancer patients and to highlight the role of pharmacists in such cases in resource-limited settings. A narrative review of existing literature was performed to summarize the evidence regarding the impact of polypharmacy in elderly cancer patients and the pharmaceutical strategies to manage it. This review emphasizes the significance of polypharmacy, which is often ignored in real clinical practice. Polypharmacy in the elderly cancer population is mainly due to: chemotherapy with one or more neoplastic agents for cancer treatment, treatment for adverse drug reactions due to neoplastic agents, the patient's comorbid conditions, or drug interactions. The role of the clinical pharmacist in specialized oncology hospitals or oncology departments of tertiary care hospitals is well established; however, this is not the case in many developing countries. A clinical pharmacist can contribute to solving the problems associated with polypharmacy by identifying the risks associated with polypharmacy and its management in resource-limited settings. As in many developed countries, the involvement of a clinical pharmacist in cancer care for elderly patients may play a vital role in the recognition and management of polypharmacy-related problems. Further research can be conducted to support this role.
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Affiliation(s)
- Sunil Shrestha
- Department of PharmacyNepal Cancer Hospital and Research CenterLalitpurNepal
- Nepal Health Research and Innovation FoundationLalitpurNepal
| | - Sudip Shrestha
- Department of Medical OncologyNepal Cancer Hospital and Research CenterLalitpurNepal
| | - Saval Khanal
- Nepal Health Research and Innovation FoundationLalitpurNepal
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Almodovar T, Teixeira E, Barroso A, Soares M, Queiroga H, Cavaco-Silva J, Barata F. Elderly patients with advanced NSCLC: The value of geriatric evaluation and the feasibility of CGA alternatives in predicting chemotherapy toxicity. Pulmonology 2019; 25:40-50. [DOI: 10.1016/j.pulmoe.2018.07.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 07/19/2018] [Indexed: 12/16/2022] Open
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Sacco PC, Maione P, Palazzolo G, Gridelli C. Treatment of advanced non-small cell lung cancer in the elderly. Expert Rev Respir Med 2018; 12:783-792. [PMID: 30092728 DOI: 10.1080/17476348.2018.1510322] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Lung cancer is predominantly a disease that affects the elderly; about 30-40% of lung cancers are diagnosed in patients aged 70 or more. The increasing number of elderly patients over the next decades is generating a new social and health problem; despite that, these patients are underrepresented in clinical trials and undertreated in clinical practice. Areas covered: The main difficulty in treating elderly patients is to maximize the therapy benefits while minimizing the treatment risk. Elderly patients show a vulnerable clinical profile due to the higher prevalence of comorbid disease, higher polypharmacy interactions and aged organ dysfunction that increase the risk of mortality and toxicity with cancer treatments compared to younger patients. Expert commentary: The choice to treat or not to treat elderly patients cannot be taken only on the basis of the chronological age. Thus, the clinical approach should be to select patients who are effectively suitable for treatment having a better individual functional reserve and a better life expectancy. Elderly patients are a heterogeneous population and those who are fit to receive cancer treatment can be treated similarly to younger patients.
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Affiliation(s)
- Paola C Sacco
- a Division of Medical Oncology , "S.G.Moscati" Hospital , Avellino , Italy
| | - Paolo Maione
- a Division of Medical Oncology , "S.G.Moscati" Hospital , Avellino , Italy
| | | | - Cesare Gridelli
- a Division of Medical Oncology , "S.G.Moscati" Hospital , Avellino , Italy
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Polypharmacy in Older Adults with Cancer: Evaluating Polypharmacy as Part of the Geriatric Assessment. CURRENT GERIATRICS REPORTS 2017. [DOI: 10.1007/s13670-017-0221-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Gutiérrez-Rodríguez AG, Juárez-Portilla C, Olivares-Bañuelos T, Zepeda RC. Anticancer activity of seaweeds. Drug Discov Today 2017; 23:434-447. [PMID: 29107095 DOI: 10.1016/j.drudis.2017.10.019] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 10/09/2017] [Accepted: 10/20/2017] [Indexed: 10/18/2022]
Abstract
Cancer is a major health problem worldwide and still lacks fully effective treatments. Therefore, alternative therapies, using natural products, have been proposed. Marine algae are an important component of the marine environment, with high biodiversity, and contain a huge number of functional compounds, including terpenes, polyphenols, phlorotannins, and polysaccharides, among others. These compounds have complex structures that have shown several biological activities, including anticancer activity, using in vitro and in vivo models. Moreover, seaweed-derived compounds target important molecules that regulate cancer processes. Here, we review our current understanding of the anticancer activity of seaweeds.
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Affiliation(s)
- Anllely G Gutiérrez-Rodríguez
- Centro de Investigaciones Biomédicas, Universidad Veracruzana, Avenue Dr Luis Castelazo Ayala s/n, Col. Industrial Ánimas, 91190 Xalapa, Veracruz, Mexico; Programa de Doctorado en Ciencias Biomédicas, Universidad Veracruzana, Avenue Dr Luis Castelazo Ayala s/n, Col. Industrial Ánimas, 91190 Xalapa, Veracruz, Mexico
| | - Claudia Juárez-Portilla
- Centro de Investigaciones Biomédicas, Universidad Veracruzana, Avenue Dr Luis Castelazo Ayala s/n, Col. Industrial Ánimas, 91190 Xalapa, Veracruz, Mexico
| | - Tatiana Olivares-Bañuelos
- Instituto de Investigaciones Oceanológicas, Universidad Autónoma de Baja California, Km 103 Autopista Tijuana-Ensenada, A.P. 453, Ensenada, Baja California, Mexico
| | - Rossana C Zepeda
- Centro de Investigaciones Biomédicas, Universidad Veracruzana, Avenue Dr Luis Castelazo Ayala s/n, Col. Industrial Ánimas, 91190 Xalapa, Veracruz, Mexico.
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Hersh LR, Beldowski K, Hajjar ER. Polypharmacy in the Geriatric Oncology Population. Curr Oncol Rep 2017; 19:73. [DOI: 10.1007/s11912-017-0632-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Abstract
A significant proportion of cancer patients and survivors are age 65 and over. Older adults with cancer often have more complex medical and social needs than their younger counterparts. Geriatric medicine providers (GMPs) such as geriatricians, geriatric-trained advanced practice providers, and geriatric certified registered nurses have expertise in caring for older adults, managing complex medical situations, and optimizing function and independence for this population. GMPs are not routinely incorporated into cancer care for older adults; however, their particular skill set may add benefit at many points along the cancer care continuum. In this article, we review the role of geriatric assessment in the care of older cancer patients, highlight specific case scenarios in which GMPs may offer additional understanding and insight in the care of older adults with cancer, and discuss specific mechanisms for incorporating GMPs into oncology care.
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17
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Suh WN, Kong KA, Han Y, Kim SJ, Lee SH, Ryu YJ, Lee JH, Shim SS, Kim Y, Chang JH. Risk factors associated with treatment refusal in lung cancer. Thorac Cancer 2017. [PMID: 28627788 PMCID: PMC5582461 DOI: 10.1111/1759-7714.12461] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Background The incidence of lung cancer is increasing with longer life expectancy. Refusal of active treatment for cancer is prone to cause patients to experience more severe symptoms and shorten survival. The purpose of this study was to define the factors related to refusal or abandonment of active therapy in lung cancer. Methods We retrospectively reviewed the data of 617 patients from medical records from 2010 to 2014. Two groups were formed: 149 patients who refused anti‐cancer treatment and allowed only palliative care were classified into the non‐treatment group, while the remaining 468 who received anti‐cancer treatment were classified into the treatment group. Results The groups differed significantly in age, employment, relationship status, number of offspring, educational status, body mass index, presence of chest and systemic symptoms, Charlson Comorbidity Index, Eastern Cooperative Oncology Group score, and tumor node metastasis stage (P < 0.05). In logistic regression analysis, age (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.07–1.13), educational status lower than high school (OR 1.95, 95% CI 1.2–3.2), no history of surgery (OR 2.29, 95% CI 1.4–3.7), body mass index < 18.5 (OR 2.49, 95% CI 1.3–4.7), and a high Eastern Cooperative Oncology Group score of 3 or 4 (OR 5.02, 95% CI 2.3–10.8) were significant factors for refusal of cancer treatment. Conclusion Individual factors, such as old age, low educational status, low weight, and poor performance status can influence refusal of cancer treatment in patients with lung cancer, and should be considered prior to consultation with patients.
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Affiliation(s)
- Won Na Suh
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Kyoung Ae Kong
- Department of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Yeji Han
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Soo Jung Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Su Hwan Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Yon Ju Ryu
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Jin Hwa Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Sung Shine Shim
- Department of Radiology, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Yookyung Kim
- Department of Radiology, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Jung Hyun Chang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
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Ng HS, Roder D, Koczwara B, Vitry A. Comorbidity, physical and mental health among cancer patients and survivors: An Australian population-based study. Asia Pac J Clin Oncol 2017; 14:e181-e192. [PMID: 28371441 DOI: 10.1111/ajco.12677] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 01/23/2017] [Indexed: 12/21/2022]
Abstract
AIM To assess the prevalence of comorbidities and measures of physical and mental health among the cancer patients and survivors compared with the general population. METHODS Data collected by the Australian Bureau of Statistics from 2011-2012 National Health Survey were utilized for this cross-sectional study. Comparisons were made between adults aged 25 years and over with history of cancer (n = 2170) and those respondents who did not report having had a cancer (n = 11 592) using logistic regression models. Analyses were repeated according to cancer status (current cancer vs. cancer survivor). RESULTS People with history of cancer had significantly higher odds of reporting mental and behavioral problems (overall cancer group adjusted odds ratio 1.36, 95 percent confidence interval 1.20-1.54; current cancer 2.53, 1.97-3.27; cancer survivor 1.20, 1.05-1.38), circulatory conditions (overall cancer group 1.25, 1.12-1.39; current cancer 1.38, 1.08-1.76; cancer survivor 1.22, 1.09-1.38), musculoskeletal conditions (overall cancer group 1.37, 1.24-1.52; current cancer 1.66, 1.30-2.12; cancer survivor 1.33, 1.19-1.48) and endocrine system disorders (overall cancer group 1.19, 1.06-1.34; current cancer 1.29, 1.00-1.66; cancer survivor 1.17, 1.04-1.33) compared with the noncancer group. Cancer patients and survivors were more likely to report poor health status, a higher level of distress, and a greater number of chronic conditions compared with the noncancer group. CONCLUSION Poor health and comorbidity is more prevalent among cancer patients and survivors than the noncancer population. Our results further support the need to develop models of care that effectively address multiple chronic conditions experienced by the cancer population.
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Affiliation(s)
- Huah Shin Ng
- School of Pharmacy and Medical Sciences, University of South Australia, Australia
| | - David Roder
- Cancer Epidemiology and Population Health, Centre of Population Health Research, School of Health Sciences, University of South Australia, Australia
| | - Bogda Koczwara
- Flinders Centre for Innovation in Cancer, Flinders University, Australia
| | - Agnes Vitry
- School of Pharmacy and Medical Sciences, University of South Australia, Australia
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Kagan SH, Maloney KW. Cancer Screening and Early Detection in Older People: Considerations for Nursing Practice. Semin Oncol Nurs 2017; 33:199-207. [PMID: 28343838 DOI: 10.1016/j.soncn.2017.02.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To synthesize relevant issues in cancer screening for older people for nursing practice. DATA SOURCES Published scientific literature, clinical literature, and published cancer screening guidelines from the United States and Canada. CONCLUSION Nurses are caring for increasing numbers of older patients and, with this demographic shift, face increasing demands to address cancer screening and detection in both primary and specialty practice. IMPLICATIONS FOR NURSING PRACTICE Ageism, self-stereotyping, cancer fear and fatalism, and cancer survivorship experiences influence cancer screening and generate the need for improved awareness of these issues to advance nursing practice.
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20
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Whitman AM, DeGregory KA, Morris AL, Ramsdale EE. A Comprehensive Look at Polypharmacy and Medication Screening Tools for the Older Cancer Patient. Oncologist 2016; 21:723-30. [PMID: 27151653 DOI: 10.1634/theoncologist.2015-0492] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 02/22/2016] [Indexed: 11/17/2022] Open
Abstract
UNLABELLED : Inappropriate medication use and polypharmacy are extremely common among older adults. Numerous studies have discussed the importance of a comprehensive medication assessment in the general geriatric population. However, only a handful of studies have evaluated inappropriate medication use in the geriatric oncology patient. Almost a dozen medication screening tools exist for the older adult. Each available tool has the potential to improve aspects of the care of older cancer patients, but no single tool has been developed for this population. We extensively reviewed the literature (MEDLINE, PubMed) to evaluate and summarize the most relevant medication screening tools for older patients with cancer. Findings of this review support the use of several screening tools concurrently for the elderly patient with cancer. A deprescribing tool should be developed and included in a comprehensive geriatric oncology assessment. Finally, prospective studies are needed to evaluate such a tool to determine its feasibility and impact in older patients with cancer. IMPLICATIONS FOR PRACTICE The prevalence of polypharmacy increases with advancing age. Older adults are more susceptible to adverse effects of medications. "Prescribing cascades" are common, whereas "deprescribing" remains uncommon; thus, older patients tend to accumulate medications over time. Older patients with cancer are at high risk for adverse drug events, in part because of the complexity and intensity of cancer treatment. Additionally, a cancer diagnosis often alters assessments of life expectancy, clinical status, and competing risk. Screening for polypharmacy and potentially inappropriate medications could reduce the risk for adverse drug events, enhance quality of life, and reduce health care spending for older cancer patients.
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Affiliation(s)
- Andrew M Whitman
- Department of Pharmacy Services, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Kathlene A DeGregory
- Department of Pharmacy Services, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Amy L Morris
- Department of Pharmacy Services, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Erika E Ramsdale
- Division of Hematology/Oncology, University of Virginia Health System, Charlottesville, Virginia, USA
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21
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Sacco PC, Casaluce F, Sgambato A, Rossi A, Maione P, Palazzolo G, Napolitano A, Gridelli C. Current challenges of lung cancer care in an aging population. Expert Rev Anticancer Ther 2015; 15:1419-1429. [DOI: 10.1586/14737140.2015.1096201] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
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22
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Wisinski KB, Cantu CA, Eickhoff J, Osterby K, Tevaarwerk AJ, Heideman J, Liu G, Wilding G, Johnston S, Kolesar JM. Potential cytochrome P-450 drug-drug interactions in adults with metastatic solid tumors and effect on eligibility for Phase I clinical trials. Am J Health Syst Pharm 2015; 72:958-65. [PMID: 25987691 PMCID: PMC4510955 DOI: 10.2146/ajhp140591] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Potential cytochrome P-450 (CYP) drug-drug interactions in adults with metastatic solid tumors and their effect on eligibility for Phase I clinical trials were characterized. METHODS This study included adult patients with metastatic solid tumors seen by a medical oncologist from January 2008 through July 2011. The medications used by these patients were identified. Each medication's potential for interacting with CYP isozymes was also characterized. Medication changes required to meet Phase I trial eligibility criteria were also reviewed. RESULTS Data from 1773 patients were analyzed: 1489 were not enrolled in a Phase I trial and 284 were enrolled in a Phase I trial. Polypharmacy was significantly more prevalent in the group enrolled in a Phase I trial compared with those not enrolled (95% versus 80%, p < 0.001). The majority of patients not enrolled in a Phase I trial were taking at least one CYP isozyme inhibitor (87%) and at least one CYP isozyme inducer (45%). In a separate analysis, four Phase I trials were evaluated. Of 295 screened patients, 3.2% could not enroll due to concurrent medications. Charts from 74 enrolled patients revealed 655 concurrent medications—93 medications required further review for eligibility involving 51 (69%) of patients. Of the 93 medications, 38 (41%) were stopped and 41 (44%) were changed for the study. CONCLUSION Polypharmacy and the use of medications that interact with CYP isoyzmes were common in adult patients with metastatic solid tumors. Patients enrolling in Phase I studies often require medication changes to meet eligibility requirements.
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Affiliation(s)
- Kari B Wisinski
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center.
| | - Colby A Cantu
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Jens Eickhoff
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Kurt Osterby
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Amye J Tevaarwerk
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Jennifer Heideman
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Glenn Liu
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - George Wilding
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Susan Johnston
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
| | - Jill M Kolesar
- Kari B. Wisinski, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, University of Wisconsin (UW), Madison, and Assistant Professor, UW Carbone Cancer Center, Madison. Colby A. Cantu, B.S., is Medical Student, School of Medicine and Public Health, UW. Jens Eickhoff, Ph.D., is Senior Scientist, Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, UW. Kurt Osterby, B.S., is Senior Decision Support Analyst, UW Hospital and Clinics, Madison. Amye J. Tevaarwerk, M.D., is Assistant Professor of Medicine, School of Medicine and Public Health, UW, and Assistant Professor, UW Carbone Cancer Center. Jennifer Heideman, R.N., is Program Manager, School of Medicine and Public Health, UW, and Program Manager, UW Carbone Cancer Center. Glenn Liu, M.D., is Associate Professor of Medicine, School of Medicine and Public Health, UW, and UW Carbone Cancer Center. George Wilding, M.D., is Professor of Medicine, School of Medicine and Public Health, UW, and Professor, UW Carbone Cancer Center. Susan Johnston, Pharm.D., is Pharmaceutical Research Center Manager, UW Carbone Cancer Center, and UW Hospital and Clinics. Jill M. Kolesar, Pharm.d., is Professor of Pharmacy, School of Pharmacy, UW, and Faculty Supervisor, Analytical Laboratory for Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics, UW Carbone Cancer Center
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Blanco R, Maestu I, de la Torre MG, Cassinello A, Nuñez I. A review of the management of elderly patients with non-small-cell lung cancer. Ann Oncol 2014; 26:451-63. [PMID: 25060421 DOI: 10.1093/annonc/mdu268] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Most patients with non-small-cell lung cancer (NSCLC) are elderly but evidence to guide appropriate treatment decisions for this age group is generally scant. Careful evaluation of the elderly should be undertaken to ensure that treatment appropriate for the stage of the tumour is guided by patient characteristics and not by age. The Comprehensive Geriatric Assessment (CGA) remains the preferred option, but briefer tools may be appropriate to select patients for further evaluation. The predicted outcome should be used to guide management decisions together with a reappraisal of polypharmacy. Patient expectations should also be taken into account. Management recommendations are generally similar to those of general guidelines for the NSCLC population, although the risks of surgery and toxicity of chemotherapy and radiotherapy are often increased in the elderly compared with younger patients; therefore, patients should be closely scrutinised and subjected to a CGA to ensure suitability of the planned treatment. If surgery is indicated, then lobectomy is generally the preferred option, although limited resection may be more feasible for some. Radiotherapy with curative intent is an alternative, with stereotactic body radiotherapy the most likely preferred modality. Adjuvant chemotherapy is also an appropriate approach, whereas adjuvant radiotherapy is generally not recommended. Concurrent chemoradiotherapy should be considered for elderly patients with inoperable locally advanced disease and chemotherapy for advanced/metastatic disease. Efforts should also be made to increase participation of elderly patients with NSCLC in clinical trials, thereby enhancing evidence-based treatment decisions for this majority group. This will require overcoming barriers relating to trial design and to physician and patient awareness and attitudes.
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Affiliation(s)
- R Blanco
- Oncology Service, Consorci Sanitari de Terrassa, Ctra. de Torrebonica sn, Terrassa
| | - I Maestu
- Department of Oncology, Hospital Universitario Dr Peset, Avenida de Gaspar Aguilar, Valencia and
| | | | - A Cassinello
- Medical Department, Lilly Spain, Alcobendas, Spain
| | - I Nuñez
- Medical Department, Lilly Spain, Alcobendas, Spain
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Abstract
Cancer is common in older adults and the approach to cancer treatment and supportive measures in this age group is continuously evolving. Incorporating geriatric assessment (GA) into the care of the older patient with cancer has been shown to be feasible and predictive of outcomes, and there are unique aspects of the traditional geriatric domains that can be considered in this population. Geriatric assessment-guided interventions can also be developed to support patients during their treatment course. There are several existing models of incorporating geriatrics into oncology care, including a consultative geriatric assessment, geriatrician "embedded" within an oncology clinic and primary management by a dual-trained geriatric oncologist. Although a geriatrician or geriatric oncologist leads the geriatric assessment, is it truly a multidisciplinary assessment, and often includes evaluation by a physical therapist, occupational therapist, pharmacist, social worker and nutritionist.
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Affiliation(s)
- A Magnuson
- University of Rochester Medical Center, Rochester, NY
| | - W Dale
- University of Rochester Medical Center, Rochester, NY
| | - S Mohile
- University of Rochester Medical Center, Rochester, NY
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Jorgensen T, Herrstedt J, Friis S, Hallas J. Polypharmacy and drug use in elderly Danish cancer patients during 1996 to 2006. J Geriatr Oncol 2012. [DOI: 10.1016/j.jgo.2011.09.001] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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