Evidence map›Paper›PMID 42864377›Full record

ArticleBritish journal of cancer2026

Using the Geriatric Core Dataset (G-CODE) to predict mortality in older patients with cancer: development and external validation.

Anne-Laure Couderc, Claudia Martinez-Tapia, Simone Mathoulin-Pelissier, Marie Laurent, Michael Bringuier, Pierre Gay, Philippe Caillet, Jeanne Bertona, Laurent Greillier, Johanna Canovas and 4 more

Registry-linked trialAbstract read
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In one paragraph

Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02884375 (Elderly Cancer Patient), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

NCT02884375 recruitingnot on this map

Elderly Cancer Patient: ELCAPA Cohort Survey

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2010 to 2027Enrolled3,000ConditionsHematologic Malignancies, Solid CancerArmsExtensive GA
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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Anne-Laure Couderc *Department of Internal Medicine, Geriatrics and Therapeutic, Assistance-Publique - Hôpitaux de Marseille (AP-HM), Marseille, France.
Claudia Martinez-Tapia *Univ Paris Est Créteil, INSERM, IMRB, Créteil, France. claudia.tapia@u-pec.fr.ORCID http://orcid.org/0000-0002-1244-0527
Simone Mathoulin-PelissierCentre INSERM U1219 Bordeaux Population Health, Epicene Team, University of Bordeaux, Bordeaux, France.
Marie LaurentUniv Paris Est Créteil, INSERM, IMRB, Créteil, France.
Michael BringuierInstitut Curie, Department of Medical Oncology, Saint-Cloud, France.
Pierre GayUniversité Paris Cité, Department of Geriatrics, European Georges Pompidou Hospital, Paris-Cancer Institute CARPEM, AP-HP, Paris, France.
Philippe CailletUniv Paris Est Créteil, INSERM, IMRB, Créteil, France.
Jeanne BertonaDepartment of Internal Medicine, Geriatrics and Therapeutic, Assistance-Publique - Hôpitaux de Marseille (AP-HM), Marseille, France.
Laurent GreillierAP-HM, INSERM, CNRS, CRCM, Hôpital Nord, Multidisciplinary Oncology and Therapeutic Innovations, Aix Marseille Université, Marseille, France.ORCID http://orcid.org/0000-0002-5807-9503
Johanna CanovasUniversité Paris Cité, Department of Geriatrics, European Georges Pompidou Hospital, Paris-Cancer Institute CARPEM, AP-HP, Paris, France.
Pierre SoubeyranInstitut Bergonié, Department of Oncology, Université de Bordeaux, Inserm, Bordeaux, France.
Siri RostoftOslo University Hospital, Department of Geriatric Medicine, Oslo, Norway.
Florence Canouï-Poitrine *Univ Paris Est Créteil, INSERM, IMRB, Créteil, France.
Elena Paillaud *Univ Paris Est Créteil, INSERM, IMRB, Créteil, France.ORCID http://orcid.org/0000-0002-5579-9927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Geriatric Core Dataset (G-CODE) was developed to standardise geriatric assessment (GA) in older adults with cancer. This study aimed to develop and externally validate a mortality prediction score based on the G-CODE at 6-month (main endpoint), 12- and 24-month (secondary endpoints), in older patients with cancer.

methodsData came from two prospective French cohorts of cancer patients aged ≥70 referred for GA: the Elderly Cancer Patients (ELCAPA) cohort (training set) and the Geriatric Oncology Marseille (GOM) cohort (validation set). G-CODE items were evaluated using multivariate Cox regression analyses, with Akaike information criterion selection. Discrimination was assessed using time-dependent area under the receiver operator curve (tAUC) for 6-, 12-, and 24-month mortality.

resultsWe included 950 and 766 patients in the training and validation sets (mean ± sd age: 83 ± 6 years/81 ± 6 years; men: 55%/59%; 6-month mortality: 27%/22%). The final G-CODE model highlighted five strong predictors of 6-month mortality: not having a caregiver, weight loss, comorbidities, an impaired 4-instrumental activities of daily living score, and an impaired timed-up-and-go test. The tAUCs of the model, including the G-CODE, age, cancer type, metastases, and treatment, were 82%, 78% and 80%.

conclusionsThe final G-CODE score (range: 0-17) accurately predicts 6-, 12-, and 24-month mortality. CLINICAL

trial registrationNCT02884375 (ClinicalTrials.gov).

Identifiers

PMID42864377

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