Evidence map›Paper›PMID 41781880›Full record

Observational studyBMC geriatrics2026

Healthcare trajectories following cancer surgery in older adults: insights from the French health data system.

Nicolas Bertrand, Héloïse Fauchon, Charline Jean, Estelle Neveu, Thomas Gilbert, Emmanuelle Leray, François Puisieux, Dominique Somme

Abstract readObservational Study
In one paragraph

Observational study in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Nicolas Bertrand *Department of Medical Oncology, Centre Eugène Marquis , Rennes, F-35000, France. n.bertrand@rennes.unicancer.fr.ORCID http://orcid.org/0000-0003-4197-9166
Héloïse Fauchon *Department of Geriatric Medicine, Univ Rennes, CHU Rennes, Rennes, F-35000, France.
Charline JeanUniversité Paris-Est Créteil, Inserm, IMRB U955, Créteil, F-94000, France.
Estelle NeveuDepartment of Medical Oncology, Centre Eugène Marquis , Rennes, F-35000, France.
Thomas GilbertDepartment of Geriatric Medicine, Hospices Civils de Lyon, Groupement Hospitalier Sud, Lyon, F-69000, France.
Emmanuelle LerayUniv Rennes, EHESP, CNRS, Inserm, Arènes, UMR 6051, RSMS, Rennes, 1309, F- 35000, France.
François PuisieuxULR 2694, METRICS, Univ Lille, Lille, F-59000, France.
Dominique SommeDepartment of Geriatric Medicine, Univ Rennes, CHU Rennes, Rennes, F-35000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare trajectories of older patients with cancer, particularly after surgical treatment, remain poorly described. Understanding these trajectories is crucial for improving patient outcomes and optimizing healthcare resources. This study aimed to describe the one-year healthcare trajectories of older patients following cancer surgery in France and identify their determinants.

methodsThis observational study was conducted using the French National Health Data System, a nationwide medico-administrative database. The study included 140,442 patients aged 75 years and older, identified through cancer diagnosis codes and surgical procedure classifications between 2018 and 2021. A multichannel sequence analysis was performed to cluster healthcare trajectories within one year post-surgery. A favourable trajectory was defined as having a low number of hospitalization days and deaths. A ridge-L2-penalized logistic regression model was employed to identify factors associated with each trajectory.

resultsFive distinct healthcare trajectory clusters were identified. The most prevalent trajectory (69.4%) was characterized by a low healthcare density, with a median one-year cumulative hospital length of stay of 12 days. Adverse trajectories were associated with older age, frailty, comorbidity, emergency admissions, prior chemotherapy, and some types of surgery (pancreas, lymph node dissection, bladder, esophagogastric, multiple sites).

conclusionsCancer surgery for patients aged 75 years and older is predominantly associated with favourable outcomes and limited healthcare utilization. The use of trajectory analysis provides a comprehensive understanding of postoperative outcomes in this population, highlighting the impact of frailty, and may inform the development of new decision-making frameworks tailored to older adults with cancer.

Indexed as

Health Information SystemsNeoplasmsAgedAged, 80 and overDatabases, FactualFemaleFranceHospitalizationHumansLength of StayMaleCancer surgeryFrailtyHealthcare trajectories

Identifiers

PMID41781880
PMCPMC13067627

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.