Evidence map›Paper›PMID 36517111›Full record

ArticleBMJ global health2022

Profile of COVID-19 in Brazil-risk factors and socioeconomic vulnerability associated with disease outcome: retrospective analysis of population-based registers.

Felipe A C Pereira, Fábio M H S Filho, Arthur R de Azevedo, Guilherme L de Oliveira, Renzo Flores-Ortiz, Luis Iván O Valencia, Moreno S Rodrigues, Pablo Ivan P Ramos, Nívea B da Silva, Juliane Fonseca de Oliveira

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.2field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  9. Association of theViruses · 2024
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  11. Racism as a Social Determinant of Health in Brazil in the COVID-19 Pandemic and Beyond.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2023
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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

10 authors at 5 institutions in 2 countries.

Felipe A C PereiraCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
Fábio M H S FilhoRondônia Oswaldo Cruz Foundatio, Oswaldo Cruz Foundation, Porto Velho, Rondônia, Brazil.
Arthur R de AzevedoCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
Guilherme L de OliveiraFederal Center for Technological Education of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Renzo Flores-OrtizCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.ORCID 0000-0001-7639-2627
Luis Iván O ValenciaCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
Moreno S RodriguesRondônia Oswaldo Cruz Foundatio, Oswaldo Cruz Foundation, Porto Velho, Rondônia, Brazil.
Pablo Ivan P RamosCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
Nívea B da SilvaDepartment of Statistics, Federal University of Bahia, Salvador, Bahia, Brazil.
Juliane Fonseca de OliveiraCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Bahia, Brazil julianlanzin@gmail.com.ORCID 0000-0002-7167-8754
Fundação Oswaldo Cruz · BRFaculdades Oswaldo Cruz · BRFederal Center for Technological Education of Minas Gerais · BRUniversidade do Porto · PTUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo classify the most up-to-date factors associated with COVID-19 disease outcomes in Brazil.

designRetrospective study.

settingNationwide Brazilian COVID-19 healthcare registers.

participantsWe used healthcare data of individuals diagnosed with mild/moderate (n=70 056 602) or severe (n=2801 380) COVID-19 disease in Brazil between 26 February 2020 and 15 November 2021.

main outcome measuresRisk of hospitalisation and mortality affected by demographic, clinical and socioeconomic variables were estimated. The impacts of socioeconomic inequalities on vaccination rates, cases and deaths were also evaluated.

results15.6 million SARS-CoV-2 infection cases and 584 761 COVID-19-related deaths occurred in Brazil between 26 February 2020 and 15 November 2021. Overall, men presented a higher odds of death than women (OR=1.14, 95% CI 1.13 to 1.15), but postpartum patients admitted to hospital wards were at increased odds of dying (OR=1.23, 95% CI 1.13 to 1.34) compared with individuals without reported comorbidities. Death in younger age groups was notably higher in most deprived municipalities and also among individuals <40 years belonging to indigenous backgrounds compared with white patients, as shown by descriptive analysis. Ethnic/racial backgrounds exhibited a continuum of decreasing survival chances of mixed-race (OR=1.11, 95% CI 1.10 to 1.12), black (OR=1.34, 95% CI 1.32 to 1.36) and indigenous (OR=1.42, 95% CI 1.31 to 1.54) individuals, while those in most deprived municipalities also presented an increased odds of death (OR=1.38, 95% CI 1.36 to 1.40). Deprivation levels also affect the prompt referral of patients to adequate care. Our results show that the odds of death of individuals hospitalised for less than 4 days is more than double that of patients with close-to-average hospital stays (OR=2.07, 95% CI 2.05 to 2.10). Finally, negative vaccination status also increased the odds of dying from the disease (OR=1.29, 95% CI 1.28 to 1.31).

conclusionsThe data provide evidence that the patterns of COVID-19 mortality in Brazil are influenced by both individual-level health and social risk factors, as well as municipality-level deprivation. In addition, these data suggest that there may be inequalities in the timely provision of appropriate healthcare that are related to municipality-level deprivation.

Indexed as

COVID-19AdultBrazilFemaleHumansMaleRetrospective StudiesRisk FactorsSARS-CoV-2Socioeconomic Factorscohort studyCOVID-19epidemiologypublic health

Identifiers

PMID36517111
PMCPMC9755904
OpenAlexW4311488297

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.