Predicting Severe Toxicities and Mortality in Older Patients with Colorectal Cancer

Study overview and objective

The PubMed record reports a study titled “Predicting severe toxicities and mortality in older patients with colorectal cancer: An analysis of 3 clinical trials and 3 prospective cohorts.” The work aims to address prediction of severe toxicities and mortality among older patients treated for colorectal cancer, based on pooled analyses of multiple data sources. The title explicitly indicates combined analysis of three clinical trials and three prospective cohorts, suggesting an intent to develop or validate predictive models or to compare risk across settings.

Details on study design, analytic methods, target population characteristics, outcomes definitions, or numerical results are not included in the PubMed excerpt provided. Therefore, no summary of findings, model performance metrics, predictors selected, or clinical recommendations can be drawn from the available source text without accessing the full article.

Data sources: clinical trials and prospective cohorts

The article title specifies use of three clinical trials and three prospective cohorts as data sources. This implies a mixed evidence base combining interventional trial data and observational cohort data, which can strengthen generalizability when pooled appropriately.

However, the PubMed content shown does not report the names of the trials or cohorts, sample sizes, enrollment periods, inclusion/exclusion criteria, endpoints used for defining severe toxicities or mortality, follow-up duration, or the statistical approach to combining datasets. These methodological details were not reported in the supplied source text and must be retrieved from the full text for a complete appraisal.

Authorship and institutional affiliations

The study is a multicenter French collaboration with a large author list. The first named author is Maxime Rémond. Other senior contributors include Thomas Aparicio, Claudia Martinez-Tapia, Karine Le Malicot, Elena Paillaud, Rabia Boulahssass, Pierre Soubeyran, Selim Turk, Michael Bringuier, Carine Bellera, and additional coauthors. Affiliations span clinical and research units in France, including:

• Department of Gastroenterology and Digestive Oncology, Hôpital Saint Louis, Université Paris Cité, Paris
• Equipe CEpiA (Clinical Epidemiology and Ageing), IMRB, Inserm U955 – Université Paris Est Créteil (UPEC)
• Federation Francophone de Cancérologie Digestive (FFCD) / EPICAD INSERM LNC-UMR 1231
• Department of Geriatrics, Hôpital Européen Georges Pompidou, Paris Cancer Institute CARPEM
• Coordination Unit of Geriatric Oncology, University Hospital of Nice
• Institut Bergonié, Institut Curie, and multiple regional oncology centers and hospitals across France

A corresponding contact email is listed for the lead author on the PubMed page.

Publication details and identifiers

The record indicates publication in European Journal of Cancer (Eur J Cancer). The article was published online (Epub) 12 July 2026 and appears in the 9 September 2026 issue (volume/page info shown as 245:116935). Identifiers provided in the PubMed entry:

• PMID: 42456539
• DOI: 10.1016/j.ejca.2026.116935

The PubMed entry notes that the article is available as a free full text link; readers should follow the DOI or the publisher link to access the complete report.

Missing data and limitations in the provided source

The PubMed excerpt supplied here omits the article abstract and the main text, so key information is missing from this summary. Specifically, the provided source did not report:

• Trial and cohort names, enrollment periods, or geographic scope beyond institutional affiliations
• Sample sizes, age distribution, cancer stage distribution, or treatment regimens
• Definitions used for severe toxicities and timing of mortality endpoints
• Predictors evaluated and whether geriatric-specific variables were included
• Statistical methods, internal/external validation procedures, or model performance (e.g., C-statistic, calibration)
• Main study conclusions, clinical recommendations, or implications for practice

Because these items are not present in the supplied PubMed text, they cannot be reconstructed or inferred here. Readers should consult the full article for complete methodology and results.

Clinical relevance and recommended next steps

The study topic — predicting treatment-related severe toxicities and mortality in older adults with colorectal cancer — addresses an important clinical need for risk stratification and treatment planning in geriatric oncology. Combining clinical trials and prospective cohorts may allow evaluation of predictors across controlled and real-world settings, potentially improving applicability of prediction tools.

Recommended next steps for clinicians or researchers seeking actionable information from this work:

• Retrieve and read the full text via the DOI or journal website to access the abstract, methods, and results.
• Evaluate the study populations, predictor variables (including geriatric assessment elements if included), statistical approach, and validation strategy before applying any reported models in practice.
• Consider external validation of reported prediction tools in local patient populations prior to clinical implementation.

Note: No study-specific results, performance metrics, or clinical recommendations are reported in the PubMed excerpt used as the source for this rewrite. Those details were not reported in the provided content and must be obtained from the full published article.