Evidence map›Paper›PMID 33312269›Full record

ArticleRevue des maladies respiratoires actualites2020

C Chouaid

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Revue des maladies respiratoires actualites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

1 author at 1 institution in 1 country.

C ChouaidService de Pneumologie, CHI Créteil, Créteil, France.
Université Paris-Est Créteil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 epidemic has placed considerable strain on healthcare systems in all countries. The impacts are multiple for patients treated for cancer.The objective of this manuscript is to summarize the epidemiological data available on patients with lung cancer developing a Covid infection, in particular the risk factors for aggravation and mortality, to describe the different strategies to improve the management of these patients and to summarize the existing recommendations in this area.The largest cohort on this subject, Teravolt, which included 1012 patients, found a hospitalization rate of 72 %, an aggravation rate of 56 % and a mortality of 32 %. In multivariate analysis, age ≥65 years (OR 1.53 CI 1.11-2.1), active smoking (OR 2 CI 1.3-3), metastatic status (OR 1.9 CI 1, 3-2.7), an ECOG PS ≥2 (OR 3.7 CI 2.7-5), taking corticosteroids before COVID infection (OR 1.8 CI 1.2-2.7), are associated with a higher risk of mortality but not treatments with chemotherapy or targeted therapies. Interestingly, treatment with immunotherapy appears to decrease the risk of mortality (OR 0.6 CI 0.97)Several screening strategies for asymptomatic forms have been reported in the literature and seem useful for diagnosing asymptomatic forms in patients undergoing systemic treatment or radiotherapy. Finally, national and international recommendations converge on many points, in particular for the need to protect patients and their families from Covid by assessing the benefit / risk of treatment on a case-by-case basis.© 2020 SPLF. Published by Elsevier Masson SAS. All rights reserved.

Indexed as

ChemotherapyCovidHealth systemLung cancerRadiotherapySurgery

Identifiers

PMID33312269
PMCPMC7718776
OpenAlexW3110695790

What OpenQuestion holds

Textmetadata
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.