Evidence map›Paper›PMID 41833065›Full record

ArticleJournal of evaluation in clinical practice2026

A Comprehensive Assessment of Cancer Patient Performance Status Documentation in a Large, Multicentre Hospital System.

Guillaume Lamé, Mohamed El Mejdani, Ariel Cohen, Sonia Priou, Rémi Flicoteaux, Matthew Barclay, Christophe Tournigand, Marie Verdoux, Emmanuelle Kempf

Abstract readMulticenter Study
In one paragraph

Article in Journal of evaluation in clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

9 authors.

Guillaume LaméLaboratoire Génie Industriel, CentraleSupélec, Université Paris Saclay, Gif-sur-Yvette, France.
Mohamed El MejdaniLaboratoire Génie Industriel, CentraleSupélec, Université Paris Saclay, Gif-sur-Yvette, France.
Ariel CohenInnovation and Data, IT Department, Assistance Publique-Hôpitaux de Paris, Paris, France.
Sonia PriouLaboratoire Génie Industriel, CentraleSupélec, Université Paris Saclay, Gif-sur-Yvette, France.
Rémi FlicoteauxDepartment of Medical Information, Assistance Publique-Hôpitaux de Paris, Paris, France.
Matthew BarclayEpidemiology of Cancer Healthcare and Outcomes, Research Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.ORCID https://orcid.org/0000-0003-1148-1922
Christophe TournigandINSERM U955, Equipe 18, Institut Mondor de Recherche Biomédicale, Créteil, France.
Marie VerdouxInnovation and Data, IT Department, Assistance Publique-Hôpitaux de Paris, Paris, France.
Emmanuelle KempfDepartment of Medical Oncology, Henri Mondor and Albert Chenevier University Hospital, Assistance Publique-Hôpitaux de Paris, Université Paris Est Créteil, Créteil, France.ORCID https://orcid.org/0000-0002-9285-1966

Funding

Paris Saclay PASREL Hub
6 · The paper itself

Abstract

backgroundThe performance status (PS) is an indicator of a cancer patient's ability to perform everyday activities and plays a key role in oncology. Research suggests that the documentation of PS scores in electronic health records (EHR) is deficient.

methodsWe analysed PS score documentation (Karnofsky or ECOG/Zubrod/WHO) in the hospital, consultation, and multidisciplinary team meeting (MDT) records of patients newly referred for a cancer at a large, public, multisite hospital system, between 1 January 2019 and 1 June 2021. We developed a regular expression (RegEx) to automatically identify PS in documents and assessed what patient and hospital characteristics were associated with PS documentation.

resultsOur RegEx achieved accuracy, and weighted- and macro-average F1 score, > 0.95 for all document types. We included 68,479 patients. 35% had a documented PS between -90 and +365 days of their first ICD-10 cancer code. 18% of MDT reports contained a PS score. In multivariate analysis, without accounting for metastatic status at diagnosis, odds ratios (ORs) for PS documentation in patient files varied by cancer type, from 0.47 (95% confidence interval: [0.42; 0.52]) for genitourinary to 3.30 [3.00; 3.61] for lung cancer, and hospital, from 0.27 [0.23; 0.33] to 3.38 [3.14; 3.63]. Male patients were more likely to have a documented PS (OR = 1.08 [1.04; 1.13]), as well as older patients. The number of each type of document was positively correlated with the presence of a score. When adding metastatic status at diagnosis, the OR for metastatic status was large (3.29 [3.13; 3.46]), but associations with other covariates were not noticeably affected. Documented PS close to diagnosis was associated with poorer 1-year survival (25% of patients with PS died within 1 year, vs 12% without PS).

conclusionPS score documentation was variable and generally low. Improved documentation is required if EHRs are to be used as a source of real-world data.

Indexed as

DocumentationElectronic Health RecordsKarnofsky Performance StatusNeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle Agedcancerelectronic health recordsKarnofsky performance statusroutinely collected health data

Identifiers

PMID41833065
PMCPMC12989242

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.