Evidence map›Paper›PMID 29020981›Full record

ArticleInfectious diseases of poverty2017

Areas with evidence of equity and their progress on mortality from tuberculosis in an endemic municipality of southeast Brazil.

Mellina Yamamura, Marcelino Santos Neto, Francisco Chiaravalloti Neto, Luiz Henrique Arroyo, Antônio Carlos Vieira Ramos, Ana Angélica Rêgo de Queiroz, Aylana de Souza Belchior, Danielle Talita Dos Santos, Juliane de Almeida Crispim, Ione Carvalho Pinto and 3 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Mellina YamamuraSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil. mellinayamamura@yahoo.com.br.
Marcelino Santos NetoFederal University of Maranhão (UFMA), São Luís, MA, Brazil.
Francisco Chiaravalloti NetoSchool of Public Health of the University of São Paulo (FSP/USP), São Paulo, SP, Brazil.
Luiz Henrique ArroyoSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Antônio Carlos Vieira RamosSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Ana Angélica Rêgo de QueirozSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Aylana de Souza BelchiorSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Danielle Talita Dos SantosSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Juliane de Almeida CrispimSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Ione Carvalho PintoSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.
Severina Alice da Costa UchôaFederal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Regina Célia FioratiSchool of Medicine of the University of São Paulo, Ribeirão Preto Campus (FMRP/USP), Ribeirão Preto, SP, Brazil.
Ricardo Alexandre ArcêncioSchool of Nursing of the University of São Paulo, Ribeirão Preto Campus (EERP/USP), Ribeirão reto, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Brazil, people still fall ill and die from tuberculosis (TB), and this can be explained by the significant impasse in the equity of distribution of therapeutic resources to the population as a whole. The aim was to identify geographical areas which have shown progress in terms of equity (of income, schooling and urban occupancy) and test its effect on mortality from TB in a municipality of southeast Brazil.

methodsIt is an ecological study considering TB as the basic cause for deaths registered between 2006 and 2013 on the Mortality Information System and other variables obtained through the Demographic Census of the Brazilian Institute of Geography and Statistics (2010). The geographical area for analysis comprised the areas of coverage of the health services. Social indicators have been constructed through the Principal Component Analysis (PCA). The cases were geocoded and the annual mortality rate from TB was calculated with smoothing using the local empirical Bayesian method. Multiple linear regression was then performed. There was confirmation of the existence of spatial dependence of residue through the application of the Global Moran I test, and application of the Models with Global Spatial Effects, to identify the best standard of spatial regression.

resultsThe mortality rates ranged from 0.00 to 2.8 deaths per 100,000 people, per year. In the PCA, three indicators were constructed, and designated as indicators of income, social inequality, and social equity. In multiple linear regression, the indicator of social equity was statistically significant (P < 0.0001) but had a negative association, an adjusted R

conclusionsThe better social conditions have shown progress in reducing mortality from TB, thereby reinforcing the achievement of Sustainable Development Goals. In addition, cartography was also applied, which can be replicated in other scenarios throughout the world, using a scope distinct from that of works traditionally produced in that it places the emphasis on social equity.

Indexed as

Endemic DiseasesSocial ConditionsUrban PopulationAdultAgedAged, 80 and overBayes TheoremBrazilFemaleHumansMaleMiddle AgedSocioeconomic FactorsTuberculosisCause of deathMortalitySpatial analysisTuberculosis

Identifiers

PMID29020981
PMCPMC5637336

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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.