Evidence map›Paper›PMID 35389992›Full record

ArticlePloS one2022

Chikungunya Death Risk Factors in Brazil, in 2017: A case-control study.

Rhaquel de Morais Alves Barbosa Oliveira, Francisca Kalline de Almeida Barreto, Geovana Praça Pinto, Isabella Timbó Queiroz, Fernanda Montenegro de Carvalho Araújo, Kilma Wanderley Lopes, Regina Lúcia Sousa do Vale, Daniele Rocha Queiroz Lemos, John Washington Cavalcante, André Machado Siqueira and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

15 authors at 7 institutions in 2 countries.

Rhaquel de Morais Alves Barbosa OliveiraPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal do Ceará, Fortaleza, CE, Brasil.
Francisca Kalline de Almeida BarretoPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal do Ceará, Fortaleza, CE, Brasil.
Geovana Praça PintoFaculdade de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil.
Isabella Timbó QueirozFaculdade de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil.
Fernanda Montenegro de Carvalho AraújoFaculdade de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil.
Kilma Wanderley LopesSecretaria Municipal de Saúde de Fortaleza, Fortaleza, CE, Brasil.
Regina Lúcia Sousa do ValeSecretaria Municipal de Saúde de Fortaleza, Fortaleza, CE, Brasil.
Daniele Rocha Queiroz LemosFaculdade de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil.
John Washington CavalcantePrograma de Pós-graduação em Patologia, Universidade Federal do Ceará, Fortaleza, CE, Brasil.
André Machado SiqueiraInstituto Nacional de Doenças Infecciosas da Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Lívia Carla Vinhal FrutuosoUniversidade de Brasília, Programa de Pós-Graduação em Medicina Tropical, Brasília, DF, Brasil.
Elisabeth Carmen DuarteUniversidade de Brasília, Programa de Pós-Graduação em Medicina Tropical, Brasília, DF, Brasil.
Antônio Silva Lima NetoSecretaria Municipal de Saúde de Fortaleza, Fortaleza, CE, Brasil.
André Ricardo Ribas FreitasFaculdade São Leopoldo Mandic de Campinas, Instituto de Pesquisa São Leopoldo Mandic, Campinas, Brasil.
Luciano Pamplona de Góes CavalcantiPrograma de Pós-graduação em Saúde Coletiva, Universidade Federal do Ceará, Fortaleza, CE, Brasil.ORCID 0000-0002-3440-1182
Universidade Federal do Ceará · BRSecretaria Municipal de Saúde · BRUnichristus · BRUniversidade de Brasília · BRFaculdade São Leopoldo Mandic · BRFundação Oswaldo Cruz · BRUniversidade Estadual do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2016/2017 we had a major epidemic of chikungunya (CHIK) in Brazil, with many deaths. We evaluated to factors associated with deaths from CHIK that occurred in the city of Fortaleza, Brazil.

methodsA matched case-control study was conducted (1:2), by sex, age (± 5 years) and neighborhood. Cases were CHIK deaths that occurred between January 1 and December 31, 2017, in Fortaleza, Brazil, and which were laboratory confirmed. Controls were laboratory confirmed CHIK patients occurring in the same neighborhood and in the same period, but which did not progress to death.

results82 cases of CHIK and 164 controls were included. Considering the clinical history, significant associations were found between other chronic heart diseases (OR 3.8; CI: 1.53-9.26) and chronic kidney disease (OR 12.77; CI: 2.75-59.4). In the multivariate analysis of the variables related to signs and symptoms, fever (OR: 19.23 CI: 1.73-213.78), abdominal pain (OR: 3; 74 CI: 1.06-13.16), apathy (OR: 11.62 CI: 2.95-45.82) and dyspnea (OR: 50.61; CI: 12.37-207.18) were identified with greater likelihood of death from CHIK. It also stood out that altered blood glucose was associated with cases with a worse prognosis (OR: 13.5; CI: 1.3-135.0). Among the laboratory findings, only lymphocytes and albumin were not associated with greater likelihood of death.

conclusionThe factors related with deaths were chronic kidney disease and previous heart disease, presence of fever, abdominal pain, apathy, dyspnea and arthritis and laboratory findings such as leukocytosis, leukopenia, thrombocytopenia, neutropenia and lymphopenia.

Indexed as

Chikungunya FeverChikungunya virusLeukopeniaRenal Insufficiency, ChronicAbdominal PainBrazilCase-Control StudiesDyspneaFeverHumansRisk Factors

Identifiers

PMID35389992
PMCPMC8989201
OpenAlexW4225557036

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.