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Context: More than half of new cancer cases occurred in older adults. Older patients with cancer are particularly at risk of physical, psycho-existential or socio-familial suffering as defined by the concept of Serious Health-related Suffering (SHS)., Objectives: To assess the direct and indirect effects of physical, psycho-existential and socio-familial dimensions of suffering on cancer treatability, supportive care needs and 12-month mortality in older patients with cancer., Methods: We included patients with cancer aged 70 years and over from the Elderly Cancer Patients cohort (ELCAPA, Ile-de-France), referred for geriatric assessment between 2007 and 2019 before cancer treatment. Structural equation modelling examined the direct and indirect relationships between SHS dimensions (latent variables), patients' characteristics (age, sex, tumor location and metastatic status, comorbidity, period of care), and outcomes., Results: The analysis included 4,824 patients (mean age: 82.2 ± 4 years; women: 56%; main cancer sites: breast [22.3%], colorectal [15.2%], prostate [8.5%], and lung [6.8%]; metastatic cancer: 46%). Physical suffering had direct pejorative effects on cancer treatability, and mortality (standardized coefficient [SC] = 0.12 [P < 0.001], SC = 0.27 [P < 0.001], respectively). Psycho-existential and socio-familial sufferings had indirect pejorative effects on survival through decreased cancer treatability (SC = 0.08 [P < 0.001], SC = 0.03 [P < 0.001], respectively). Psycho-existential dimension had the main direct effect size on supportive care needs (SC = 0.35 [P < 0.001]) and was interrelated with physical suffering., Conclusion: Physical suffering has direct pejorative effect on survival. All dimensions indirectly decrease survival due to poorer cancer treatability. Our findings support concomitant management of physical and psycho-existential suffering., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: The primary objective of the present study was to evaluate and compare the ability of eight nutrition-related tools to predict 1-year mortality in older patients with cancer., Design, Setting and Participants: We studied older patients with cancer from the ELCAPA cohort and who had been referred for a geriatric assessment at one of 14 participating geriatric oncology clinics in the greater Paris area of France between 2007 and 2018., Measurements: The studied nutrition-related tools/markers were the body mass index (BMI), weight loss (WL) in the previous 6 months, the Mini Nutritional Assessment, the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index, the Glasgow Prognostic Score (GPS), the modified GPS, and the C-reactive protein/albumin ratio., Results: A total of 1361 patients (median age: 81; males: 51%; metastatic cancer: 49%) were included in the analysis. Most of the tools showed a progressively increase in the mortality risk as the nutrition-related risk category worsened (overall p-values <0.02 for all) after adjustment for age, outpatient status, functional status, severe comorbidities, cognition, mood, cancer treatment strategy, tumour site, and tumour metastasis. All the models were discriminant, with a C-index ranging from 0.748 (for the BMI) to 0.762 (for the GPS). The concordance probability estimate ranged from 0.764 (WL) to 0.773 (GNRI and GPS))., Conclusion: After adjustment for relevant prognostic factors, all eight nutrition-related tools/markers were independently associated with 1-year mortality in older patients with cancer. Depending on the time or context of the GA, physicians do not always have the time or means to perform and assess all the tools/markers compared here. However, even when some information is missing, each nutritional tool/marker has prognostic value and can be used in the evaluation., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Background: Few studies of the under-representation of older adults in cancer clinical trials (CTs) have encompassed the entire pathway from a trial being available in a cancer centre to the patient's invitation to participate and then agreement or refusal to participate., Objectives: The study's primary objective was to evaluate CT non-invitation and refusal rates. The secondary objectives were to identify factors associated with non-invitation and refusal and to assess experiences of CT participation from the patients' and professionals' perspectives., Methods: Here, we used mixed methods and a socio-epidemiological approach to analyse reasons for the non-participation of eligible older patients with a solid cancer in cancer CTs in France., Results: We found that non-invitation and low CT participation are mainly related to the patients' sociodemographic characteristics and living conditions (such as social isolation, being single, divorced or widowed, not having children and the absence of close family members) and the healthcare professionals' perceptions of insufficient informal support or a high homecare requirement., Conclusion: Our results suggest that efforts to increase fair inclusion and the participation of older adults in CTs should target the physician-patient relationship, the medical profession and hospital funding, rather than the patient alone., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society.)