Evidence map›Paper›PMID 34270568›Full record

ArticlePloS one2021

Trends in COVID-19 case-fatality rates in Brazilian public hospitals: A longitudinal cohort of 398,063 hospital admissions from 1st March to 3rd October 2020.

Ivan Ricardo Zimmermann, Mauro Niskier Sanchez, Gustavo Saraiva Frio, Layana Costa Alves, Claudia Cristina de Aguiar Pereira, Rodrigo Tobias de Sousa Lima, Carla Machado, Leonor Maria Pacheco Santos, Everton Nunes da Silva

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  4. COVID-19 case fatality ratio and survival among hospitalized adults in Goiás, 2020: a cohort study.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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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

9 authors at 4 institutions in 1 country.

Ivan Ricardo ZimmermannDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.ORCID 0000-0001-7757-7519
Mauro Niskier SanchezDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.
Gustavo Saraiva FrioDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.
Layana Costa AlvesDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.
Claudia Cristina de Aguiar PereiraOswaldo Cruz Foundation, National School of Public Health, Rio de Janeiro, Brazil.ORCID 0000-0003-1389-9214
Rodrigo Tobias de Sousa LimaOswaldo Cruz Foundation, Leônidas e Maria Deane Institute, Manaus, Brazil.ORCID 0000-0002-4098-5276
Carla MachadoDepartment of Preventive and Social Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Leonor Maria Pacheco SantosDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.
Everton Nunes da SilvaDepartment of Collective Health, Faculty of Health Sciences, University of Brasilia, Brasilia, Brazil.
Universidade de Brasília · BRFundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlmost 200,000 deaths from COVID-19 were reported in Brazil in 2020. The case fatality rate of a new infectious disease can vary by different risk factors and over time. We analysed the trends and associated factors of COVID-19 case fatality rates in Brazilian public hospital admissions during the first wave of the pandemic.

methodsA retrospective cohort of all COVID-19-related admissions between epidemiological weeks 10-40 in the Brazilian Public Health System (SUS) was delimited from available reimbursement records. Smoothing time series and survival analyses were conducted to evaluate the trends of hospital case fatality rates (CFR) and the probability of death according to factors such as sex, age, ethnicity, comorbidities, length of stay and ICU use.

resultsWith 398,063 admissions and 86,452 (21.7%) deaths, the overall age-standardized hospital CFR trend decreased throughout the period, varying from 31.8% (95%CI: 31.2 to 32.5%) in week 10 to 18.2% (95%CI: 17.6 to 18.8%) in week 40. This decreasing trend was observed in all sex, age, ethnic groups, length of stay and ICU admissions. Consistently, later admission (from July to September) was an independent protective factor. Patients 80+ year old had a hazard ratio of 8.18 (95% CI: 7.51 to 8.91). Ethnicity, comorbidities, and ICU need were also associated with the death risk. Although also decreasing, the CFR was always around 40-50% in people who needed an ICU admission.

conclusionsThe overall hospital CFR of COVID-19 has decreased in Brazilian public hospitals during the first wave of the pandemic in 2020. Nevertheless, during the entire period, the CFR was still very high, suggesting the need for improving COVID-19 hospital care in Brazil.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsBrazilComorbidityCOVID-19FemaleHospitals, PublicHumansMaleMiddle AgedMortalityPatient AdmissionPopulation Groups

Identifiers

PMID34270568
PMCPMC8284655
OpenAlexW3178731706

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.