Evidence map›Paper›PMID 38127882›Full record

ArticlePloS one2023

Factors influencing COVID-19 mortality among cancer patients: A Brazilian multi-institutional study.

Jessé Lopes da Silva, Bruno Santos Wance de Souza, Lucas Zanetti de Albuquerque, Sabina Bandeira Aleixo, Gilmara Anne da Silva Resende, Daniela Galvão Barros de Oliveira, Emerson Neves Dos Santos, Angélica Nogueira-Rodrigues, Renan Orsati Clara, Maria de Fatima Dias Gaui and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2023. 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
1.4field-weighted citation impact, top 15% 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. Review
  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

18 authors at 9 institutions in 1 country.

Jessé Lopes da SilvaDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-0790-9917
Bruno Santos Wance de SouzaDasa Oncology, Hospital Nove de Julho, São Paulo, São Paulo, Brazil.
Lucas Zanetti de AlbuquerqueDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Rio de Janeiro, Brazil.
Sabina Bandeira AleixoDepartment of Clinical Oncology, Evangelical Hospital of Cachoeiro de Itapemirim, Cachoeiro de Itapemirim, Espírito Santo, Brazil.
Gilmara Anne da Silva ResendeDepartment of Clinical Oncology, Amazonia Integrated Research Center, Manaus, Amazonas, Brazil.ORCID 0009-0006-7276-7114
Daniela Galvão Barros de OliveiraDepartment of Clinical Oncology, Hospital Santa Izabel-Santa Casa da Bahia, Salvador, Bahia, Brazil.ORCID 0000-0002-8218-9972
Emerson Neves Dos SantosDepartment of Clinical Oncology, Amil Integrated Oncology Care, São Paulo, Sao Paulo, Brazil.
Angélica Nogueira-RodriguesDepartment of General Medicine UFMG, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Renan Orsati ClaraBrazilian Society of Clinical Oncology, São Paulo, São Paulo, Brazil.
Maria de Fatima Dias GauiInternal Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Augusto Cesar de Andrade MotaDepartment of Clinical Oncology, AMO Clinic-DASA, Salvador, Bahia, Brazil.
Vladmir Claudio Cordeiro de LimaDepartment of Medical Oncology, A C Camargo Cancer Center, São Paulo, São Paulo, Brazil.ORCID 0000-0003-3955-1101
Daniela Dornelles RosaBrazilian Society of Clinical Oncology, São Paulo, São Paulo, Brazil.
Rodrigo Ramella MunhozOncology Center-Hospital Sírio Libanes, São Paulo, São Paulo, Brazil.
Igor Alexandre Protzner MorbeckOncoclinicas Group of the Federal District, São Paulo, São Paulo, Brazil.
Ana Caroline Zimmer GelattiOncoclinicas Group of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil.
Clarissa Maria de Cerqueira MathiasOncoclinicas Group of Bahia, Salvador, Bahia, Brazil.
Andréia Cristina de MeloDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-1201-4333
Instituto Nacional de Câncer - INCA · BRAC Camargo Hospital · BRHospital Moinhos de Vento · BRHospital Santa Izabel · BRHospital São Rafael · BRHospital Sírio-Libanês · BRUniversidade Federal de Minas Gerais · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Nove de Julho · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to describe the demographic and clinical characteristics of cancer patients with COVID-19, exploring factors associated with adverse outcomes. PATIENTS AND

methodsThis retrospective cohort study methodically extracted and curated data from electronic medical records (EMRs) of numerous healthcare institutions on cancer patients diagnosed with a confirmed SARS-CoV-2 infection between May 2020 and August 2021, to identify risk factors linked to extended hospitalization and mortality. The retrieved information encompassed the patients' demographic and clinical characteristics, including the incidence of prolonged hospitalization, acute complications, and COVID-19-related mortality.

resultsA total of 1446 cancer patients with COVID-19 were identified (mean [Standard deviation] age, 59.2 [14.3] years). Most patients were female (913 [63.1%]), non-white (646 [44.7%]), with non-metastatic (818 [56.6%]) solid tumors (1318 [91.1%]), and undergoing chemotherapy (647 [44.7%]). The rate of extended hospitalization due to COVID-19 was 46% (n = 665), which was significantly impacted by age (p = 0.012), sex (p = 0.003), race and ethnicity (p = 0.049), the presence of two or more comorbidities (p = 0.006), hematologic malignancies (p = 0.013), metastatic disease (p = 0.002), and a performance status ≥ 2 (p = 0.001). The COVID-19-related mortality rate was 18.9% (n = 273), and metastatic disease (<0.001), performance status ≥2 (<0.001), extended hospitalization (p = 0.028), renal failure (p = 0.029), respiratory failure (p < 0.001), sepsis (p = 0.004), and shock (p = 0.040) significantly and negatively influenced survival.

conclusionThe rate of extended hospitalization and COVID-19-specific death in cancer patients was notably high and could be influenced by comorbidities, cancer treatment status, and clinical fragility. These observations may aid in developing risk counseling strategies regarding COVID-19 in individuals diagnosed with cancer.

Indexed as

COVID-19NeoplasmsBrazilComorbidityFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID38127882
PMCPMC10734930
OpenAlexW4390047111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.