Evidence map›Paper›PMID 34444302›Full record

ArticleInternational journal of environmental research and public health2021

The Impact of COVID-19 Pandemic in Portuguese Cancer Patients: A Retrospective Study.

Aurea Lima, Hugo Sousa, Amanda Nobre, Ana Luisa Faria, Manuela Machado

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Aurea LimaCentro Hospitalar de Entre o Douro e Vouga EPE, Medical Oncology Department, Unit of Santa Maria da Feira, Rua Dr. Cândido Pinho 5, 4520-211 Santa Maria da Feira, Portugal.ORCID 0000-0002-9779-0584
Hugo SousaResearch Center (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Porto Comprehensive Cancer Center (Porto.CCC), Molecular Oncology and Viral Pathology Group, Portuguese Oncology Institute of Porto (IPO Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal.ORCID 0000-0001-5795-2131
Amanda NobreCentro Hospitalar de Entre o Douro e Vouga EPE, Medical Oncology Department, Unit of Santa Maria da Feira, Rua Dr. Cândido Pinho 5, 4520-211 Santa Maria da Feira, Portugal.
Ana Luisa FariaCentro Hospitalar de Entre o Douro e Vouga EPE, Medical Oncology Department, Unit of Santa Maria da Feira, Rua Dr. Cândido Pinho 5, 4520-211 Santa Maria da Feira, Portugal.
Manuela MachadoCentro Hospitalar de Entre o Douro e Vouga EPE, Medical Oncology Department, Unit of Santa Maria da Feira, Rua Dr. Cândido Pinho 5, 4520-211 Santa Maria da Feira, Portugal.
Unidade Local de Saúde de Entre Douro e Vouga · PTInstituto Português de Oncologia Francisco Gentil · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Literature reports that SARS-CoV-2 infection in cancer patients may be associated with higher severity and mortality, nevertheless the knowledge is limited. We aimed to describe patients' demographic characteristics and COVID-19 disease outcomes in Portuguese cancer patients. We conducted a retrospective study in a cohort of cancer patients diagnosed with COVID-19. A total of 127 individuals were included: 46.5% males and 53.5% females, with a median age of 72 years. Clinicopathological characteristics were used in univariate and multivariable logistic regression analyses to estimate odds ratios for each variable with outcomes adjusting for potential confounders. Our cohort revealed that 84.3% of patients had more than one risk factor for severe disease rather than cancer. In total, 36.2% of patients were admitted to the Department of Internal Medicine, 14.2% developed severe disease, 1.6% required Intensive Care Unit, and mortality was observed in 11.8%. Severe COVID-19 disease was associated with unfit (ECOG PS > 2) patients (

Indexed as

COVID-19NeoplasmsAgedFemaleHumansMalePandemicsPortugalRetrospective StudiesRisk FactorsSARS-CoV-2cancercoronavirusCOVID-19neoplasmsoncologySARS-CoV-2

Identifiers

PMID34444302
PMCPMC8391914
OpenAlexW3193911194

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.