Evidence map›Paper›PMID 38576844›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2024

[Estimation of prevalence of chronic Chagas disease in Brazilian municipalitiesEstimación de la prevalencia de la enfermedad de Chagas crónica en los municipios brasileños].

Gabriel Zorello Laporta, Mayara Maia Lima, Veruska Maia da Costa, Milton Martins de Lima Neto, Swamy Lima Palmeira, Sheila Rodrigues Rodovalho, Miguel Angel Aragón López

Open access · diamondAbstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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  6. Spatial and temporal distribution of neglected tropical diseases: overlap analysis, Piauí, 2013-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
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  14. Association between transmission modes and chronic Chagas disease clinical forms.Revista da Sociedade Brasileira de Medicina Tropical · 2025
    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

7 authors at 3 institutions in 2 countries.

Gabriel Zorello LaportaCentro Universitário FMABC Santo AndréSP Brasil Centro Universitário FMABC, Santo André, SP, Brasil.
Mayara Maia LimaSecretaria de Vigilância em Saúde e Ambiente Ministério da Saúde BrasíliaDF Brasil Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde, Brasília, DF, Brasil.
Veruska Maia da CostaSecretaria de Vigilância em Saúde e Ambiente Ministério da Saúde BrasíliaDF Brasil Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde, Brasília, DF, Brasil.
Milton Martins de Lima NetoSecretaria de Vigilância em Saúde e Ambiente Ministério da Saúde BrasíliaDF Brasil Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde, Brasília, DF, Brasil.
Swamy Lima PalmeiraSecretaria de Vigilância em Saúde e Ambiente Ministério da Saúde BrasíliaDF Brasil Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde, Brasília, DF, Brasil.
Sheila Rodrigues RodovalhoOrganização Pan-Americana da Saúde Organização Mundial da Saúde BrasíliaDF Brasil Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, DF, Brasil.
Miguel Angel Aragón LópezOrganização Pan-Americana da Saúde Organização Mundial da Saúde BrasíliaDF Brasil Organização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, DF, Brasil.
Ministério da Saúde · STPan American Health Organization (Brasil) · BRFaculdade de Medicina do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study is to estimate the prevalence of chronic Chagas disease (CCD) in Brazil: in the general population, in women, and in women of childbearing age. Methods: A meta-analysis of the literature was conducted to extract data on the prevalence of CCD in municipalities in Brazil in the 2010-2022 period: in the general population, in women, and in women of childbearing age. Municipal-level CCD indicators available in health information systems were selected. Statistical modeling of the data extracted from the meta-analysis (based on data obtained from information systems) was applied to linear, generalized linear, and additive models. Results: The five most appropriate models were selected from a total of 549 models tested to obtain a consensus model (adjusted Conclusions: The estimated prevalence of CCD, especially among women of childbearing age, highlights the challenge of vertical transmission in Brazilian municipalities. Mathematical projections suggest that these estimates should be included in the national program for the elimination of vertical transmission of Chagas disease.

Indexed as

Chagas diseasemodels, statisticalprevalencesystematic review

Identifiers

PMID38576844
PMCPMC10993810
OpenAlexW4393949583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.