Evidence map›Paper›PMID 34435733›Full record

ReviewThoracic cancer2021

Susceptibility of lung cancer patients to COVID-19: A review of the pandemic data from multiple nationalities.

Ana Emília Goulart Lemos, Gabriela Ribeiro Silva, Etel Rodrigues Pereira Gimba, Aline da Rocha Matos

Open access · goldAbstract readReview
In one paragraph

Review in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
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

12 citing papers in PubMed, 16 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

4 authors at 2 institutions in 1 country.

Ana Emília Goulart LemosDepartment of Physiology and Pharmacology, Biomedical Institute, Federal Fluminense University (UFF), Niteroi, Brazil.ORCID 0000-0003-1109-4439
Gabriela Ribeiro SilvaDepartment of Physiology and Pharmacology, Biomedical Institute, Federal Fluminense University (UFF), Niteroi, Brazil.ORCID 0000-0003-3047-1092
Etel Rodrigues Pereira GimbaDepartment of Physiology and Pharmacology, Biomedical Institute, Federal Fluminense University (UFF), Niteroi, Brazil.ORCID 0000-0001-7091-2206
Aline da Rocha MatosOswaldo Cruz Institute, Respiratory and Measles Viruses Laboratory/SARS-CoV-2 Reference, Laboratory, MoH, World Health Organization (WHO), FIOCRUZ, Rio de Janeiro, Brazil.ORCID 0000-0001-7763-2127
Universidade Federal Fluminense · BRFundação Oswaldo Cruz · BR

Funding

Brazilian Ministry of HealthCAPESCNPqFAPERJOswaldo Cruz Institute/ FIOCRUZProppi/ UFFWorld Health Organization 001
6 · The paper itself

Abstract

Several studies have highlighted that cancer patients tend to be more susceptible to develop severe infection and to die from COVID-19. Certain medical conditions such as immunosuppression, presence of comorbidities, and underlying pulmonary damage are possible determinants of disease severity, especially in lung cancer patients. While recent studies have shown that lung cancer is one of the most prevalent tumor types among COVID-19 cancer patients, we still have an incomplete view of how data from several countries work as a whole. The aim of this review was to investigate COVID-19 prevalence in lung cancer patient cohorts and their probability to develop severe illness and death when compared to nonlung cancer patients from multiple nationalities, including countries that have been the epicenters of the pandemic. We also focus on some intrinsic lung cancer features that might influence COVID-19 outcomes. An integrative view of the susceptibility of lung cancer patients might be especially relevant to assist physicians in evaluating the risks of COVID-19 in these patients, and to foster better decisions on treatment delay.

Indexed as

ComorbidityCOVID-19Disease SusceptibilityGeographyHumansInternationalityLung NeoplasmsPrevalenceRiskSARS-CoV-2Severity of Illness IndexTreatment OutcomeCOVID-19lung cancermortalitySARS-CoV-2severity

Identifiers

PMID34435733
PMCPMC8520793
OpenAlexW3195911640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.