Evidence map›Paper›PMID 35730816›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2022

Chagas disease and social welfare: characterization of the disease in the Brazilian social security and social assistance, 2004-2016.

Izabela Lima Perissato, Keile Aparecida Resende Santos, Antônio Marcos Machado de Oliveira, Jean Ezequiel Limongi

Abstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Izabela Lima PerissatoUniversidade Federal de Uberlândia, Curso de Saúde Coletiva, Uberlândia, MG, Brasil.ORCID 0000-0001-6713-6250
Keile Aparecida Resende SantosInstituto Nacional do Seguro Social, Agência da Previdência Social de Uberlândia, Uberlândia, MG, Brasil.ORCID 0000-0002-9171-461X
Antônio Marcos Machado de OliveiraUniversidade Federal de Uberlândia, Curso de Saúde Coletiva, Uberlândia, MG, Brasil.ORCID 0000-0002-8459-6782
Jean Ezequiel LimongiInstituto Nacional do Seguro Social, Agência da Previdência Social de Uberlândia, Uberlândia, MG, Brasil.ORCID 0000-0003-2649-9842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize the sociodemographic profile of beneficiaries of Brazilian social welfare affected by Chagas disease and identify factors associated with the granting of assistance benefits, 2004 to 2016.

methodsCross-sectional study based on secondary data from the Ministry of Labor and Social Security. Logistical regression was performed to estimate crude and adjusted odds ratios (OR) and 95% confidence intervals (95%CI).

results36,023 benefits were granted; 62.5% were to male; 67.0% to residents of urban areas; 46.7% to residents of Southeast region; 56.7% to people with chronic cardiac form; and 42.7% to the 50-59 age group. Residents of urban areas (OR = 134.9; 95%CI 78.0;233.2), Northeast macro-region (OR = 2.9; 95%CI 2.5;3.1), female (OR = 2.0; 95%CI 1.8;2.1) and age group 60 years or older (OR = 1.6; 95%CI 1,3;1,7) were factors associated with assistance benefits.

conclusionFactors related to the area of residence, macro-region, sex and age group increased the chance of granting assistance benefits.

Indexed as

Chagas DiseaseSocial SecurityBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocial Welfare

Identifiers

PMID35730816
PMCPMC9887962

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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.