Evidence map›Paper›PMID 34638235›Full record

ArticleCancers2021

Clinical Characteristics, Care Trajectories and Mortality Rate of SARS-CoV-2 Infected Cancer Patients: A Multicenter Cohort Study.

Marc-Antoine Benderra, Ainhoa Aparicio, Judith Leblanc, Demian Wassermann, Emmanuelle Kempf, Gilles Galula, Mélodie Bernaux, Anthony Canellas, Thomas Moreau, Ali Bellamine and 8 more

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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

18 authors at 6 institutions in 1 country.

Marc-Antoine BenderraMedical Oncology Department, AP-HP Greater Paris University Hospital, Tenon Hospital, 75020 Paris, France.ORCID 0000-0001-9338-0345
Ainhoa AparicioClinical Research Platform of East of Paris, AP-HP greater Paris University Hospital, Sorbonne Université Hospitals, 75020 Paris, France.
Judith LeblancClinical Research Platform of East of Paris, AP-HP greater Paris University Hospital, Sorbonne Université Hospitals, 75020 Paris, France.ORCID 0000-0002-0323-6671
Demian WassermannInstitut National de Recherche en Informatique et en Automatique, INRIA Saclay Île-de-France, 78150 Palaiseau, France.
Emmanuelle KempfMedical Oncology Department, AP-HP Greater Paris University Hospital, Henri-Mondor Hospital, 94000 Creteil, France.
Gilles GalulaMedical Oncology Department, AP-HP Greater Paris University Hospital, Tenon Hospital, 75020 Paris, France.
Mélodie BernauxAP-HP Greater Paris University Hospital, DST, 75012 Paris, France.
Anthony CanellasInstitut Universitaire de Cancérologie AP-HP Sorbonne Université, Sorbonne Université, 75006 Paris, France.
Thomas MoreauUniversité Paris-Saclay, Inria, CEA, 91120 Palaiseau, France.
Ali BellamineAP-HP Greater Paris University Hospital, DSI-WIND, 75006 Paris, France.
Jean-Philippe SpanoInstitut Universitaire de Cancérologie AP-HP Sorbonne Université, Sorbonne Université, 75006 Paris, France.
Christel DanielAP-HP Greater Paris University Hospital, DSI-WIND, 75006 Paris, France.
Julien ChampInstitut National de Recherche en Informatique et en Automatique, INRIA Sophia-Antipolis-ZENITH Team, LIRMM, Montpellier 75646, France.
Florence Canouï-PoitrinePublic Health Department, APHP Greater Paris University Hospital, Henri-Mondor Hospital, 94000 Creteil, France.
Joseph GligorovMedical Oncology Department, AP-HP Greater Paris University Hospital, Tenon Hospital, 75020 Paris, France.ORCID 0000-0002-9900-6386
On Behalf Of The Ap-Hp/Universities/Inserm Covid-Research Collaboration
Cancer Ap-Hp Group Covid-Task Force
Ap-Hp Covid Cdw Initiative Acci
Inserm · FRSorbonne Université · FRInstitut national de recherche en sciences et technologies du numérique · FRUniversité Sorbonne Paris Nord · FRAssistance Publique – Hôpitaux de Paris · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 may be more frequent and more severe in cancer patients than in other individuals. Our aims were to assess the rate of COVID-19 in hospitalized cancer patients, to describe their demographic characteristics, clinical features and care trajectories, and to assess the mortality rate.

methodsThis multicenter cohort study was based on the Electronic Health Records of the Assistance Publique-Hôpitaux de Paris (AP-HP). Cancer patients with a diagnosis of COVID-19 between 3 March and 19 May 2020 were included. Main outcome was all-cause mortality within 30 days of COVID-19 diagnosis.

resultsA total of 29,141 cancer patients were identified and 7791 (27%) were tested for SARS-CoV-2. Of these, 1359 (17%) were COVID-19-positive and 1148 (84%) were hospitalized; 217 (19%) were admitted to an intensive care unit. The mortality rate was 33% (383 deaths). In multivariate analysis, mortality-related factors were male sex (aHR = 1.39 [95% CI: 1.07-1.81]), advanced age (78-86 y: aHR = 2.83 [95% CI: 1.78-4.51] vs. <66 y; 86-103 y: aHR = 2.61 [95% CI: 1.56-4.35] vs. <66 y), more than two comorbidities (aHR = 2.32 [95% CI: 1.41-3.83]) and C-reactive protein >20 ng/mL (aHR = 2.20 [95% CI: 1.70-2.86]). Primary brains tumors (aHR = 2.19 [95% CI: 1.08-4.44]) and lung cancer (aHR = 1.66 [95% CI: 1.02-2.70]) were associated with higher mortality. Risk of dying was lower among patients with metabolic comorbidities (aHR = 0.65 [95% CI: 0.50-0.84]).

conclusionsIn a hospital-based setting, cancer patients with COVID-19 had a high mortality rate. This mortality was mainly driven by age, sex, number of comorbidities and presence of inflammation. This is the first cohort of cancer patients in which metabolic comorbidities were associated with a better outcome.

Indexed as

cancerhospitalsmortality ratemulticenter studySARS-CoV-2 infection

Identifiers

PMID34638235
PMCPMC8507538
OpenAlexW3199840112

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.