Evidence map›Paper›PMID 33146301›Full record

ArticleRevista de saude publica2020

TB-HIV co-infection: spatial and temporal distribution in the largest Brazilian metropolis.

Roberta Figueiredo Cavalin, Alessandra Cristina Guedes Pellini, Regina Rocha Gomes de Lemos, Ana Paula Sayuri Sato

Abstract read
In one paragraph

Article in Revista de saude publica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Temporal Trends in Tuberculosis Incidence in the 1st Health Region of Alagoas, Brazil (2001-2022).International journal of environmental research and public health · 2025
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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.

Roberta Figueiredo CavalinUniversidade de São Paulo . Faculdade de Saúde Pública . Programa de Pós-Graduação em Saúde Pública . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0001-6929-9862
Alessandra Cristina Guedes PelliniUniversidade Nove de Julho . Faculdade de Medicina . Diretoria de Ciências Médicas . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0002-3799-9415
Regina Rocha Gomes de LemosSecretaria Municipal da Saúde . Coordenação de Vigilância em Saúde de São Paulo . Programa Municipal de Controle da Tuberculose . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0003-3262-9631
Ana Paula Sayuri SatoUniversidade de São Paulo . Faculdade de Saúde Pública . Departamento de Epidemiologia . São Paulo , SP , Brasil.ORCID http://orcid.org/0000-0001-8601-5884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the spatial and temporal distribution of TB-HIV co-infection, as well as the profile of the characteristics of the co-infected population in the municipality of São Paulo.

methodsThis is an ecological and time series study with data from the Tuberculosis Patient Control System (TBWeb), including all new cases of tuberculosis co-infected individuals with HIV living in the municipality from 2007 to 2015. Time trends of the disease were analyzed using Prais-Winsten regression. The cases were geocoded by the address of residence for the elaboration of maps with the incidence rates smoothed by the local empirical Bayesian method. The global and local Moran indexes evaluated spatial autocorrelation. Individuals' profiles were described and the characteristics of the cases with and without fixed residence were compared by Pearson's chi-square or Fisher's exact tests.

resultsWe analyzed 6,092 new cases of TB-HIV co-infection (5,609 with fixed residence and 483 without fixed residence). The proportion of TB-HIV co-infection ranged from 10.5% to 13.7%, with a drop of 3.0% per year (95%CI -3.4 - -2.6) and was higher in individuals without fixed residence. Incidence rates decreased by 3.6% per year (95%CI -4.4% - -2.7%), declining from 7.0 to 5.3 per 100,000 inhabitants/year. Co-infection showed positive and significant spatial autocorrelation, with heterogeneous spatial pattern and a high-risk cluster in the central region of the municipality. Cure was achieved in 55.5% of cases with fixed residence and in 32.7% of those without a fixed residence.

conclusionsThe data indicate an important advance in the control of TB-HIV co-infection in the period analyzed. However, we identified areas and populations that were unequally affected by the disease and that should be prioritized in the improvement of actions to prevent and control co-infection.

Indexed as

AdolescentAdultBayes TheoremBrazilChildChild, PreschoolCitiesCoinfectionFemaleHIV InfectionsHumansInfantInfant, NewbornMaleMiddle AgedSpatial Analysis

Identifiers

PMID33146301
PMCPMC7593020

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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.