Evidence mapPaperPMID 37678919Full record

ArticleJournal for immunotherapy of cancer2023

Synergic prognostic value of 3D CT scan subcutaneous fat and muscle masses for immunotherapy-treated cancer.

Pierre Decazes, Samy Ammari, Younes Belkouchi, Léo Mottay, Littisha Lawrance, Antoine de Prévia, Hugues Talbot, Siham Farhane, Paul-Henry Cournède, Aurelien Marabelle and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

17 authors at 4 institutions in 1 country.

Pierre DecazesDepartment of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France pierre.decazes@chb.unicancer.fr.ORCID 0000-0001-5323-9910
Samy AmmariBiomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France.
Younes BelkouchiBiomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France.
Léo MottayDepartment of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France.
Littisha LawranceBiomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France.
Antoine de PréviaBiomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France.
Hugues TalbotCentre de Vision Numérique, CentraleSupélec, Inria, Université Paris-Saclay, 91190 Gif-Sur-Yvette, France.
Siham FarhaneDépartement des Innovations Thérapeutiques et Essais Précoces, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France.
Paul-Henry CournèdeMICS Lab, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France.
Aurelien MarabelleDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France.ORCID 0000-0002-5816-3019
Florian GuisierQuantIF-LITIS (EA[Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, 76000 Rouen, France.
David PlanchardDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France.
Tony IbrahimDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France.
Caroline RobertDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France.
Fabrice BarlesiDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, University of Paris-Saclay, 94800 Villejuif, France.
Pierre VeraDepartment of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France.
Nathalie LassauBiomaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94800 Villejuif, France.
Université Paris-Saclay · FRCentre National de la Recherche Scientifique · FRLaboratoire d'Informatique, du Traitement de l'Information et des Systèmes · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim was to explore the prognostic value of anthropometric parameters in a large population of patients treated with immunotherapy.

methodsWe retrospectively included 623 patients with advanced non-small cell lung cancer (NSCLC) (n=318) or melanoma (n=305) treated by an immune-checkpoint-inhibitor having a pretreatment (thorax-)abdomen-pelvis CT scan. An external validation cohort of 55 patients with NSCLC was used. Anthropometric parameters were measured three-dimensionally (3D) by a deep learning software (Anthropometer3DNet) allowing an automatic multislice measurement of lean body mass, fat body mass (FBM), muscle body mass (MBM), visceral fat mass (VFM) and sub-cutaneous fat mass (SFM). Body mass index (BMI) and weight loss (WL) were also retrieved. Receiver operator characteristic (ROC) curve analysis was performed and overall survival was calculated using Kaplan-Meier (KM) curve and Cox regression analysis.

resultsIn the overall cohort, 1-year mortality rate was 0.496 (95% CI: 0.457 to 0.537) for 309 events and 5-year mortality rate was 0.196 (95% CI: 0.165 to 0.233) for 477 events. In the univariate Kaplan-Meier analysis, prognosis was worse (p<0.001) for patients with low SFM (<3.95 kg/m

conclusions3D measured low SFM and MBM are significant prognosis factors of NSCLC treated by immune checkpoint inhibitors and can be combined to improve the prognostic value.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMelanomaAnimalsHumansImmune Checkpoint InhibitorsImmunotherapyMusclesPrognosisRetrospective StudiesImmune Checkpoint InhibitorsImmunotherapyMelanomaNon-Small Cell Lung Cancer

Identifiers

PMID37678919
PMCPMC10496660
OpenAlexW4386496135

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.