Evidence map›Paper›PMID 39053886›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Hidden leprosy in a low-endemic area in southern Brazil: changes in endemicity following an active search.

Bruno Vitiritti, Filipe Rocha Lima, Nara Tescke de Castilho, Lincon Bordignon Somensi, Rosana Cláudio Silva Ogoshi

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Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Bruno VitirittiUniversidade Alto Vale do Rio do Peixe, Departamento de Medicina, Caçador, SC, Brasil. Electronic address: aids.saude@cacador.sc.gov.br.
Filipe Rocha LimaUniversidade de São Paulo, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.
Nara Tescke de CastilhoVigilância Epidemiológica de Caçador, Caçador, SC, Brasil.
Lincon Bordignon SomensiUniversidade Alto Vale do Rio do Peixe, Programa de Pós-Graduação em Desenvolvimento e Sociedade, Caçador, SC, Brasil.
Rosana Cláudio Silva OgoshiUniversidade Alto Vale do Rio do Peixe, Programa de Pós-Graduação em Desenvolvimento e Sociedade, Caçador, SC, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy, a neglected tropical disease, is reported in over 120 countries, with upwards of 200,000 new cases annually. This Cross-Sectional Cohort Study aimed to delineate the epidemiological profile of leprosy in a low-endemic area in southern Brazil, both before and after implementing an active search strategy.

methodsThe study examined two surveillance periods in Caçador, Santa Catarina, Brazil. The active search strategy was carried out through the application of the LSQ by the community health workers as a screening and detection tool for new cases of leprosy and this was compared with passive case detection. The first spanned from 2014 to 2020, and the second from January 2021 to August 2023.

findings48 leprosy cases were reported throughout the study, 83.3 % of which were diagnosed as multibacillary. The first period had an average detection rate of 0.38 cases per 10,000 inhabitants, increasing to 1.19 cases per 10,000 inhabitants in the second period. Notably, there was a substantial shift in the degree of physical disability (GD), with more Grade 0 and Grade 1 disabilities observed post-active search. MAIN

conclusionsThe study underscores the efficacy of active search strategies in early diagnosis, highlighting a 300 % increase in the annual average of diagnosed cases. This large number of detected cases demonstrates the high sensitivity of the LSQ. This approach significantly aids in uncovering hidden cases of leprosy, enhancing disease management and control in low-endemic areas indicating that the Ministry of Health should intensify leprosy control activities in these regions.

Indexed as

Endemic DiseasesLeprosyAdolescentAdultAgedBrazilCohort StudiesCross-Sectional StudiesEarly DiagnosisFemaleHumansMaleMass ScreeningMiddle AgedYoung AdultHealth information systemsHealth profileLeprosySpatial analysis

Identifiers

PMID39053886
PMCPMC11345545

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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.