Evidence map›Paper›PMID 36287489›Full record

ArticleRevista de saude publica2022

Differentials in death count records by databases in Brazil in 2010.

Victor Hugo Dias Diógenes, Elzo Pereira Pinto Júnior, Marcos Roberto Gonzaga, Bernardo Lanza Queiroz, Everton E C Lima, Lilia Carolina C da Costa, Aline S Rocha, Andrêa J F Ferreira, Camila S S Teixeira, Flávia Jôse O Alves and 6 more

Abstract read
In one paragraph

Article in Revista de saude publica, 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
–field-weighted citation impact
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.

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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

16 authors.

Victor Hugo Dias DiógenesUniversidade Federal do Rio Grande do Norte . Centro de Ciências Exatas e da Terra . Programa de Pós-Graduação em Demografia . Natal , RN , Brasil.ORCID http://orcid.org/0000-0002-4010-2699
Elzo Pereira Pinto JúniorFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0002-6977-2071
Marcos Roberto GonzagaUniversidade Federal do Rio Grande do Norte . Centro de Ciências Exatas e da Terra . Programa de Pós-Graduação em Demografia . Natal , RN , Brasil.ORCID http://orcid.org/0000-0002-6088-3453
Bernardo Lanza QueirozUniversidade Federal de Minas Gerais . Faculdade de Ciências Econômicas . Centro de Desenvolvimento e Planejamento Regional . Belo Horizonte , MG , Brasil.ORCID http://orcid.org/0000-0002-2890-1025
Everton E C LimaUniversidade Estadual de Campinas . Instituto de Filosofia e Ciências Humanas e Núcleo de Estudos de População . Campinas , SP , Brasil.ORCID http://orcid.org/0000-0001-6275-9854
Lilia Carolina C da CostaUniversidade Federal da Bahia . Instituto de Matemática e Estatística . Departamento de Estatística . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0001-5107-2723
Aline S RochaFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0003-3806-6446
Andrêa J F FerreiraFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0002-6884-3624
Camila S S TeixeiraFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0001-6340-7957
Flávia Jôse O AlvesFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0003-1613-2270
Leila RamehFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0001-9056-2928
Renzo Flores-OrtizFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0001-7639-2627
Alastair LeylandUniversity of Glasgow . Medical Research Council . Glasgow , Scotland.ORCID http://orcid.org/0000-0003-3741-7099
Ruth DundasUniversity of Glasgow . Medical Research Council . Glasgow , Scotland.ORCID http://orcid.org/0000-0002-3836-4286
Maurício L BarretoFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0002-0215-4930
Maria Yury Travassos IchiharaFundação Oswaldo Cruz . Centro de Integração de Dados e Conhecimentos para Saúde . Salvador , BA , Brasil.ORCID http://orcid.org/0000-0001-8590-6212

Funding

Chief Scientist Office SPHSU17Medical Research Council MC_UU_00022/2Wellcome Trust
6 · The paper itself

Abstract

objectiveTo compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count.

methodsThis is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP - Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM - Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps.

resultsConfirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country.

conclusionThe results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

Indexed as

Socioeconomic FactorsBrazilCitiesDatabases, FactualHumans

Identifiers

PMID36287489
PMCPMC9586519

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