Evidence map›Paper›PMID 34746913›Full record

ArticleLancet regional health. Americas2022

First and second COVID-19 waves in Brazil: A cross-sectional study of patients' characteristics related to hospitalization and in-hospital mortality.

Felipe André Zeiser, Bruna Donida, Cristiano André da Costa, Gabriel de Oliveira Ramos, Juliana Nichterwitz Scherer, Nêmora Tregnago Barcellos, Ana Paula Alegretti, Maria Letícia Rodrigues Ikeda, Ana Paula Wernz C Müller, Henrique C Bohn and 5 more

Open access · goldAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 141 citations in OpenAlex.

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  9. Living With Persistent Respiratory Symptoms of Long COVID: Qualitative Study Among Brazilian Adults 12 Months After Acute Infection.Health expectations : an international journal of public participation in health care and health policy · 2025
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  13. 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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  19. Social inequalities in self-reported SARS-CoV-2 infection in Brazilian adults: PNAD COVID-19.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
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  20. Article

8 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Felipe André ZeiserSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Bruna DonidaSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Cristiano André da CostaSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Gabriel de Oliveira RamosSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Juliana Nichterwitz SchererSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Nêmora Tregnago BarcellosGraduate Program in Public Health, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Ana Paula AlegrettiServiço de Diagnóstico Laboratorial, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Maria Letícia Rodrigues IkedaGraduate Program in Public Health, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Ana Paula Wernz C MüllerMBA Innovation Health Well Being, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Henrique C BohnSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Ismael SantosSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Luiza BoniSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Rodolfo Stoffel AntunesSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Rodrigo da Rosa RighiSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Sandro José RigoSoftware Innovation Laboratory - SOFTWARELAB, Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil.
Universidade do Vale do Rio dos Sinos · BRGrupo Hospitalar Conceição · BRHospital de Clínicas de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBackground The second wave of the COVID-19 pandemic was more aggressive in Brazil compared to other countries around the globe. Considering the Brazilian peculiarities, we analyze the in-hospital mortality concerning socio-epidemiological characteristics of patients and the health system of all states during the first and second waves of COVID-19.

methodsWe performed a cross-sectional study of hospitalized patients with positive RT-PCR for SARS-CoV-2 in Brazil. Data was obtained from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) and comprised the period from February 25, 2020, to April 30, 2021, separated in two waves on November 5, 2020. We performed a descriptive study of patients analyzing socio-demographic characteristics, symptoms, comorbidities, and risk factors stratified by age. In addition, we analyzed in-hospital and intensive care unit (ICU) mortality in both waves and how it varies in each Brazilian state.

findingsBetween February 25, 2020 and April 30, 2021, 678 235 patients were admitted with a positive RT-PCR for SARS-CoV-2, with 325 903 and 352 332 patients for the first and second wave, respectively. The mean age of patients was 59

interpretationWe observed a more considerable burden on the Brazilian hospital system throughout the second wave. Furthermore, the north and northeast of Brazil, which present lower Human Development Indexes, concentrated the worst in-hospital mortality rates. The highest mortality rates are also shown among vulnerable social groups. Finally, we believe that the results can help to understand the behavior of the COVID-19 pandemic in Brazil, helping to define public policies, allocate resources, and improve strategies for vaccination of priority groups.

fundingCoordinating Agency for Advanced Training of Graduate Personnel (CAPES) (C.F. 001), and National Council for Scientific and Technological Development (CNPq) (No. 309537/2020-7).

Indexed as

COVID-19HealthcareIn-hospital mortalityPandemic responseSARS-CoV-2

Identifiers

PMID34746913
PMCPMC8557995
OpenAlexW3209840591

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.