Evidence map›Paper›PMID 33801131›Full record

ArticleCancers2021

Comparison of Cancer Patients to Non-Cancer Patients among COVID-19 Inpatients at a National Level.

Alain Bernard, Jonathan Cottenet, Philippe Bonniaud, Lionel Piroth, Patrick Arveux, Pascale Tubert-Bitter, Catherine Quantin

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 6 pooled it
3.8field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 6 syntheses or guidelines pooled it, 47 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

7 authors at 3 institutions in 2 countries.

Alain BernardDepartment of Thoracic and Cardiovascular Surgery, CHU Dijon Bocage Hospital, 14 rue Gaffarel, BP 77908, 21079 Dijon, France.ORCID 0000-0002-5367-0097
Jonathan CottenetBiostatistics and Bioinformatics (DIM), University Hospital, Bourgogne Franche-Comté University, BP 77908, 21079 Dijon, France.
Philippe BonniaudFaculty of Medicine, Bourgogne Franche-Comté University, 21000 Dijon, France.
Lionel PirothINSERM, LNC UMR1231, LipSTIC LabEx Team, 21000 Dijon, France.ORCID 0000-0003-4478-1032
Patrick ArveuxCenter for Primary Care and Public Health, Unisanté, University of Lausanne, 1015 Lausanne, Switzerland.
Pascale Tubert-BitterHigh-Dimensional Biostatistics for Drug Safety and Genomics, Paris-Saclay University, UVSQ, Inserm, CESP, 94800 Villejuif, France.
Catherine QuantinBiostatistics and Bioinformatics (DIM), University Hospital, Bourgogne Franche-Comté University, BP 77908, 21079 Dijon, France.ORCID 0000-0001-5134-9411
Inserm · FRCentre universitaire de médecine générale et santé publique, Lausanne · CHCHU Dijon Bourgogne · FR

Funding

french Cancer Research Association NA
6 · The paper itself

Abstract

(1) Background: Several smaller studies have shown that COVID-19 patients with cancer are at a significantly higher risk of death. Our objective was to compare patients hospitalized for COVID-19 with cancer to those without cancer using national data and to study the effect of cancer on the risk of hospital death and intensive care unit (ICU) admission. (2) Methods: All patients hospitalized in France for COVID-19 in March-April 2020 were included from the French national administrative database, which contains discharge summaries for all hospital admissions in France. Cancer patients were identified within this population. The effect of cancer was estimated with logistic regression, adjusting for age, sex and comorbidities. (3) Results: Among the 89,530 COVID-19 patients, we identified 6201 cancer patients (6.9%). These patients were older and were more likely to be men and to have complications (acute respiratory and kidney failure, venous thrombosis, atrial fibrillation) than those without cancer. In patients with hematological cancer, admission to ICU was significantly more frequent (24.8%) than patients without cancer (16.4%) (

Indexed as

cancerCOVID-19Franceintensive care unitmedico-administrative datamortalitySARS-CoV-2tumour subtype

Identifiers

PMID33801131
PMCPMC8004216
OpenAlexW3137733682

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.