Pub Date : 2025-11-29DOI: 10.1016/j.jgo.2025.102804
Rebecca Forman , Sarah J. Westvold , Jessica B. Long , Jane Fan , Terry Hyslop , Kerry Conlin , Sofia Jacobson , Shi-Yi Wang , Michael S. Leapman , Michael Cecchini , Ira Leeds , Lisa Spees , Carolyn Presley , Faiza Yasin , Melissa Taylor , Tendai Kwaramba , Cary P. Gross , Kevin Oeffinger , Michaela A. Dinan
Introduction: Due to the growth of the cancer survivor population, strategies to facilitate efficient delivery of survivorship care are critical to reduce the risk of adverse events associated with frailty. The objective of this study was to develop a risk stratification tool to identify long-term survivors at the highest risk of becoming frail 5–10 years after cancer diagnosis.
Materials and Methods: We used the Surveillance, Epidemiology, and End Results (SEER) dataset linked with Medicare data to identify patients with stage I-III breast, prostate, colon, or rectal cancers who lived at least five years from diagnosis and were not severely frail at year five post-diagnosis. Frailty was assessed using the claims-based Kim Frailty Index (FI) categorized by recommended thresholds. Restricted mean survival time (RMST) regression was used to identify clinical and demographic characteristics associated with frailty progression, defined as an increased category of the FI. Significant predictors were used to create clinical prediction rules and stratify survivors into low, intermediate, and high-risk groups.
Results: A total of 87,229 five-year survivors were included. At five years from diagnosis (time zero), 22 % of patients not frail at cancer diagnosis had new onset frailty and were mildly or moderately frail; at 10 years from diagnosis, 61 % had developed new or worsening frailty. Advanced age, comorbidities (RMST ratios ranging from 0.67 [95 % CI 0.65–0.70] to 0.80 [95 % CI 0.77–0.84], baseline moderate frailty at cancer diagnosis (RMST ratios ranging from 0.79 [95 % CI 0.76–0.83] to 0.86 [95 % CI 0.83–0.90]) and at five years post-diagnosis (RMST ratios ranging from 0.63 [95 % CI 0.62–0.64] to 0.71 [95 % CI 0.69–0.73]), living in a high poverty area (RMST ratios ranging from 0.91 [95 % CI 0.87–0.94] to 0.96, [95 % CI 0.93–0.99], and systemic treatments four to five years post-diagnosis (RMST ratios ranging from 0.77 [95 % CI: 0.70–0.84] to 0.86, [95 % CI: 0.84–0.89] were associated with less average time without frailty.
Discussion: Age, comorbidities, prior frailty, and late treatment were associated with frailty in older breast, prostate, colon, and rectal cancer survivors. This risk stratification model can be used by clinicians to assess cancer and age-related risk of frailty and facilitate timely intervention.
导言:由于癌症幸存者人口的增长,促进有效提供生存护理的策略对于减少与虚弱相关的不良事件的风险至关重要。本研究的目的是开发一种风险分层工具,以确定癌症诊断后5-10年内身体虚弱风险最高的长期幸存者。材料和方法:我们使用与医疗保险数据相关联的监测、流行病学和最终结果(SEER)数据集来识别I-III期乳腺癌、前列腺癌、结肠癌或直肠癌患者,这些患者在诊断后至少生活了5年,并且在诊断后5年没有严重虚弱。虚弱评估使用索赔为基础的金氏虚弱指数(FI)分类推荐阈值。限制平均生存时间(RMST)回归用于确定与衰弱进展相关的临床和人口学特征,定义为FI的增加类别。显著性预测因子用于建立临床预测规则,并将幸存者分为低、中、高风险组。结果:共纳入87,229例5年生存率。在诊断后5年(零时间),22%的癌症诊断时不虚弱的患者出现了新发虚弱,并且是轻度或中度虚弱;在确诊10年后,61%的人出现了新的或恶化的虚弱。先进的年龄、并发症(RMST比率从0.67 (95% CI 0.65 - -0.70), 0.80 (95% CI 0.77 - -0.84),基线中度脆弱在癌症诊断(RMST比率从0.79 (95% CI 0.76 - -0.83), 0.86 (95% CI 0.83 - -0.90)),在五年内post-diagnosis (RMST比率从0.63 (95% CI 0.62 - -0.64), 0.71 (95% CI 0.69 - -0.73)),生活在一个高贫困地区(RMST比率从0.91 (95% CI 0.87 - -0.94), 0.96 (95% CI 0.93 - -0.99),和诊断后4至5年的全身治疗(RMST比值范围为0.77 [95% CI: 0.70-0.84]至0.86,[95% CI: 0.84-0.89])与较短的平均无虚弱时间相关。讨论:年龄、合并症、既往虚弱和晚期治疗与老年乳腺癌、前列腺癌、结肠癌和直肠癌幸存者的虚弱相关。这种风险分层模型可以被临床医生用来评估癌症和年龄相关的虚弱风险,并促进及时干预。
{"title":"Personalized risk assessment of frailty in long-term cancer survivors","authors":"Rebecca Forman , Sarah J. Westvold , Jessica B. Long , Jane Fan , Terry Hyslop , Kerry Conlin , Sofia Jacobson , Shi-Yi Wang , Michael S. Leapman , Michael Cecchini , Ira Leeds , Lisa Spees , Carolyn Presley , Faiza Yasin , Melissa Taylor , Tendai Kwaramba , Cary P. Gross , Kevin Oeffinger , Michaela A. Dinan","doi":"10.1016/j.jgo.2025.102804","DOIUrl":"10.1016/j.jgo.2025.102804","url":null,"abstract":"<div><div>Introduction: Due to the growth of the cancer survivor population, strategies to facilitate efficient delivery of survivorship care are critical to reduce the risk of adverse events associated with frailty. The objective of this study was to develop a risk stratification tool to identify long-term survivors at the highest risk of becoming frail 5–10 years after cancer diagnosis.</div><div>Materials and Methods: We used the Surveillance, Epidemiology, and End Results (SEER) dataset linked with Medicare data to identify patients with stage I-III breast, prostate, colon, or rectal cancers who lived at least five years from diagnosis and were not severely frail at year five post-diagnosis. Frailty was assessed using the claims-based Kim Frailty Index (FI) categorized by recommended thresholds. Restricted mean survival time (RMST) regression was used to identify clinical and demographic characteristics associated with frailty progression, defined as an increased category of the FI. Significant predictors were used to create clinical prediction rules and stratify survivors into low, intermediate, and high-risk groups.</div><div>Results: A total of 87,229 five-year survivors were included. At five years from diagnosis (time zero), 22 % of patients not frail at cancer diagnosis had new onset frailty and were mildly or moderately frail; at 10 years from diagnosis, 61 % had developed new or worsening frailty. Advanced age, comorbidities (RMST ratios ranging from 0.67 [95 % CI 0.65–0.70] to 0.80 [95 % CI 0.77–0.84], baseline moderate frailty at cancer diagnosis (RMST ratios ranging from 0.79 [95 % CI 0.76–0.83] to 0.86 [95 % CI 0.83–0.90]) and at five years post-diagnosis (RMST ratios ranging from 0.63 [95 % CI 0.62–0.64] to 0.71 [95 % CI 0.69–0.73]), living in a high poverty area (RMST ratios ranging from 0.91 [95 % CI 0.87–0.94] to 0.96, [95 % CI 0.93–0.99], and systemic treatments four to five years post-diagnosis (RMST ratios ranging from 0.77 [95 % CI: 0.70–0.84] to 0.86, [95 % CI: 0.84–0.89] were associated with less average time without frailty.</div><div>Discussion: Age, comorbidities, prior frailty, and late treatment were associated with frailty in older breast, prostate, colon, and rectal cancer survivors. This risk stratification model can be used by clinicians to assess cancer and age-related risk of frailty and facilitate timely intervention.</div></div>","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102804"},"PeriodicalIF":2.7,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145620220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Data on treatment preferences in older cancer patients are lacking. We aimed to identify their priorities.
Materials and methods: We conducted a multicenter prospective cohort study on patients with cancer aged ≥70 and 18-69, initiating first medical treatment. Patients and physicians prioritized eight aspects of care: treatment efficacy, life expectancy, autonomy, daily tasks, social activities, treatment burden, toxicity, and economic burden via self-completed questionnaires. The primary endpoint was the priorities of older patients.
Results: We included 233 older and 100 younger patients at eight sites. In the older patient cohort, median age was 79 (min-max: 70-97), breast cancer represented 34 % (N = 78) and lung 12 % (N = 27). Metastatic setting concerned 45 % of the patients. The most frequently rated top priority at treatment initiation was treatment efficacy in both older (73 %) and younger cohorts (79 %), followed by autonomy in the older cohort (13 %) and life expectancy in the younger cohort (14 %). Treatment efficacy was almost systematically cited in the top four priorities for both older (94 %) and younger patients (96 %), followed by autonomy (86 %) for older and life expectancy (82 %) for younger patients. These priorities were stable (>70 %) between initiation and three months for each cohort. Agreement rate for prioritization of aspects of care between older patients and physicians was 87 % for treatment efficacy and 64 % for autonomy.
Discussion: Autonomy was the second most cited priority among older patients, yet many physicians failed to recognize this, potentially affecting treatment decisions. These findings highlight the need for shared decision-making to align treatment choices with patient expectations.
{"title":"Important aspects of care and priorities of older patients with cancer: The PRIORITY multicenter cohort study.","authors":"Thomas Grellety, Carine Bellera, Coralie Cantarel, Cécile Mertens, Mathilde Cabart, Guilhem Roubaud, Marie-Claude Chantecaille, Hervé Desclos, Corinne Souyris, Patrick Bouchaert, Emmanuelle Bourbouloux, Catherine Terret, Cécile Delattre, Laurent Cany, Caroline Lalet, Simone Mathoulin-Pelissier, Pierre Soubeyran, Camille Chakiba Brugere","doi":"10.1016/j.jgo.2025.102812","DOIUrl":"https://doi.org/10.1016/j.jgo.2025.102812","url":null,"abstract":"<p><strong>Introduction: </strong>Data on treatment preferences in older cancer patients are lacking. We aimed to identify their priorities.</p><p><strong>Materials and methods: </strong>We conducted a multicenter prospective cohort study on patients with cancer aged ≥70 and 18-69, initiating first medical treatment. Patients and physicians prioritized eight aspects of care: treatment efficacy, life expectancy, autonomy, daily tasks, social activities, treatment burden, toxicity, and economic burden via self-completed questionnaires. The primary endpoint was the priorities of older patients.</p><p><strong>Results: </strong>We included 233 older and 100 younger patients at eight sites. In the older patient cohort, median age was 79 (min-max: 70-97), breast cancer represented 34 % (N = 78) and lung 12 % (N = 27). Metastatic setting concerned 45 % of the patients. The most frequently rated top priority at treatment initiation was treatment efficacy in both older (73 %) and younger cohorts (79 %), followed by autonomy in the older cohort (13 %) and life expectancy in the younger cohort (14 %). Treatment efficacy was almost systematically cited in the top four priorities for both older (94 %) and younger patients (96 %), followed by autonomy (86 %) for older and life expectancy (82 %) for younger patients. These priorities were stable (>70 %) between initiation and three months for each cohort. Agreement rate for prioritization of aspects of care between older patients and physicians was 87 % for treatment efficacy and 64 % for autonomy.</p><p><strong>Discussion: </strong>Autonomy was the second most cited priority among older patients, yet many physicians failed to recognize this, potentially affecting treatment decisions. These findings highlight the need for shared decision-making to align treatment choices with patient expectations.</p>","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":" ","pages":"102812"},"PeriodicalIF":2.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145512822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-13DOI: 10.1016/j.jgo.2025.102811
Koshy Alexander , Sacha Roberts , Amy L. Tin , Jasmeet Singh , Diana Lake , Elissa Meditz , Abha Kulkarni , Manpreet Boparai , Beatriz Korc-Grodzicki , Armin Shahrokni
{"title":"Association between geriatric assessment domains and chemotherapy among older women with breast cancer","authors":"Koshy Alexander , Sacha Roberts , Amy L. Tin , Jasmeet Singh , Diana Lake , Elissa Meditz , Abha Kulkarni , Manpreet Boparai , Beatriz Korc-Grodzicki , Armin Shahrokni","doi":"10.1016/j.jgo.2025.102811","DOIUrl":"10.1016/j.jgo.2025.102811","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102811"},"PeriodicalIF":2.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145513001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on“Survival and risk factors for death in older adults with primary head and neck cancer: A retrospective observational cohort study”","authors":"Yu Tian , Hui Leng , XiangLong Hao , RuPeng Qu , AiPing Wang","doi":"10.1016/j.jgo.2025.102807","DOIUrl":"10.1016/j.jgo.2025.102807","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102807"},"PeriodicalIF":2.7,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145482221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-07DOI: 10.1016/j.jgo.2025.102809
Hanna Kerminen , Esa Jämsen , Saara Markkanen
{"title":"Response to letters to the editor","authors":"Hanna Kerminen , Esa Jämsen , Saara Markkanen","doi":"10.1016/j.jgo.2025.102809","DOIUrl":"10.1016/j.jgo.2025.102809","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102809"},"PeriodicalIF":2.7,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-07DOI: 10.1016/j.jgo.2025.102808
Brijesh Sathian, Siham Mohammed Al Mushaifri, Ebtehal Obeidat, Hanadi Al Hamad
{"title":"Beyond age and anaemia: A reappraisal of prognostic factors in geriatric head and neck cancer","authors":"Brijesh Sathian, Siham Mohammed Al Mushaifri, Ebtehal Obeidat, Hanadi Al Hamad","doi":"10.1016/j.jgo.2025.102808","DOIUrl":"10.1016/j.jgo.2025.102808","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102808"},"PeriodicalIF":2.7,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-06DOI: 10.1016/j.jgo.2025.102810
Cara L. Chase , Zachary L. Chaplow , Colleen Spees , Jade Smith , Jessica L. Krok-Schoen
{"title":"Alcohol consumption in older cancer survivors: An analysis of adherence to the World Cancer Research Fund and American Institute for Cancer Research guidelines","authors":"Cara L. Chase , Zachary L. Chaplow , Colleen Spees , Jade Smith , Jessica L. Krok-Schoen","doi":"10.1016/j.jgo.2025.102810","DOIUrl":"10.1016/j.jgo.2025.102810","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102810"},"PeriodicalIF":2.7,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145471046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-03DOI: 10.1016/j.jgo.2025.102795
Lisa M. Lines , Miku Fujita , Kim N. Danforth , Daniel H. Barch , Michael T. Halpern , Michelle A. Mollica , David T. Eton , Ashley Wilder Smith
Introduction
Palliative care (PC), including hospice, can improve quality of life by helping manage distressing symptoms. PC is underutilized among people with cancer in the United States. We studied whether (1) sociodemographics and illness burden were associated with receipt of PC, and (2) whether PC use was related to self-reported care experiences.
Materials and Methods
Using Surveillance, Epidemiology, and End Results (SEER)–Consumer Assessment of Healthcare Providers and Systems (CAHPS) data, we analyzed illness burden (using the SEER-CAHPS Illness Burden Index [SCIBI]), race/ethnicity, and self-reported care experiences in three cancer cohorts: those receiving hospice (with or without other forms of PC); PC encounters without hospice; and no PC. We included fee-for-service and Medicare Advantage beneficiaries with cancer (n = 37,025) diagnosed 2007–2017, surveyed 2007–2017, and followed up to five years post-diagnosis (through 2019). Multivariable survey-weighted logistic regression models adjusted for clinical characteristics, social determinants of health (SDoH) (dual enrollment in Medicare and Medicaid; neighborhood poverty; education; language), demographics, and clinical characteristics.
Results
Among 37,025 Medicare beneficiaries with cancer, 11.1 % received hospice (with or without PC) and 7.4 % received PC only. Nearly 30 % of the sample died within five years of diagnosis; fewer than one-third of decedents received hospice. Factors associated with receiving hospice included increasing age, non-Hispanic ethnicity, American Indian/Alaska Native and multiracial identities, living in higher-income neighborhoods, survey-completion proxy assistance, fair/poor general health, advanced stage at diagnosis, and more illness burden. Independent predictors of PC encounters included age 75–79, female identification, no dual enrollment, no proxy assistance, and more illness burden. Differences in care experience associated with hospice or PC use were shown for two care experience measures: doctor communication scores and doctor rating scores were higher among beneficiaries who received neither hospice nor PC relative to beneficiaries who received hospice.
Discussion
Variability in hospice and PC receipt across sociodemographic characteristics suggest the continued need to ensure equitable service provision. Worse doctor communication scores associated with hospice or PC encounters suggests a potential avenue for improving care experiences.
{"title":"Hospice, palliative care, and care experiences among Medicare beneficiaries with cancer","authors":"Lisa M. Lines , Miku Fujita , Kim N. Danforth , Daniel H. Barch , Michael T. Halpern , Michelle A. Mollica , David T. Eton , Ashley Wilder Smith","doi":"10.1016/j.jgo.2025.102795","DOIUrl":"10.1016/j.jgo.2025.102795","url":null,"abstract":"<div><h3>Introduction</h3><div>Palliative care (PC), including hospice, can improve quality of life by helping manage distressing symptoms. PC is underutilized among people with cancer in the United States. We studied whether (1) sociodemographics and illness burden were associated with receipt of PC, and (2) whether PC use was related to self-reported care experiences.</div></div><div><h3>Materials and Methods</h3><div>Using Surveillance, Epidemiology, and End Results (SEER)–Consumer Assessment of Healthcare Providers and Systems (CAHPS) data, we analyzed illness burden (using the SEER-CAHPS Illness Burden Index [SCIBI]), race/ethnicity, and self-reported care experiences in three cancer cohorts: those receiving hospice (with or without other forms of PC); PC encounters without hospice; and no PC. We included fee-for-service and Medicare Advantage beneficiaries with cancer (<em>n</em> = 37,025) diagnosed 2007–2017, surveyed 2007–2017, and followed up to five years post-diagnosis (through 2019). Multivariable survey-weighted logistic regression models adjusted for clinical characteristics, social determinants of health (SDoH) (dual enrollment in Medicare and Medicaid; neighborhood poverty; education; language), demographics, and clinical characteristics.</div></div><div><h3>Results</h3><div>Among 37,025 Medicare beneficiaries with cancer, 11.1 % received hospice (with or without PC) and 7.4 % received PC only. Nearly 30 % of the sample died within five years of diagnosis; fewer than one-third of decedents received hospice. Factors associated with receiving hospice included increasing age, non-Hispanic ethnicity, American Indian/Alaska Native and multiracial identities, living in higher-income neighborhoods, survey-completion proxy assistance, fair/poor general health, advanced stage at diagnosis, and more illness burden. Independent predictors of PC encounters included age 75–79, female identification, no dual enrollment, no proxy assistance, and more illness burden. Differences in care experience associated with hospice or PC use were shown for two care experience measures: doctor communication scores and doctor rating scores were higher among beneficiaries who received neither hospice nor PC relative to beneficiaries who received hospice.</div></div><div><h3>Discussion</h3><div>Variability in hospice and PC receipt across sociodemographic characteristics suggest the continued need to ensure equitable service provision. Worse doctor communication scores associated with hospice or PC encounters suggests a potential avenue for improving care experiences.</div></div>","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"17 1","pages":"Article 102795"},"PeriodicalIF":2.7,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145445197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.jgo.2025.102461
D. Wirth , M. Vetter , H. Unger , A. Eish
{"title":"Implementing a geriatric oncology program in a Midsize Swiss Cancer Center: Feasibility and early results","authors":"D. Wirth , M. Vetter , H. Unger , A. Eish","doi":"10.1016/j.jgo.2025.102461","DOIUrl":"10.1016/j.jgo.2025.102461","url":null,"abstract":"","PeriodicalId":15943,"journal":{"name":"Journal of geriatric oncology","volume":"16 8","pages":"Article 102461"},"PeriodicalIF":2.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145546497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}