Evidence map›Paper›PMID 39288716›Full record

ArticlePublic health2024

Leprosy in Brazil: an analysis of the Global Burden of Disease estimates between 1990 and 2019.

V E M de Araújo, G A Veloso, L R F S Kerr, J M Pescarini, L S de M Cardoso, M Naghavi, D C Malta, Unit on the Social and Environmental Determinants of Health Inequalities (SEDHI)

Abstract read
In one paragraph

Article in Public health, 2024. 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

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

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

8 authors.

V E M de AraújoPrograma de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address: valdelaine.miranda@gmail.com.
G A VelosoDepartamento de Estatística, Instituto de Matemática e Estatística, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil. Electronic address: guilhermeaugustoveloso@yahoo.com.br.
L R F S KerrUniversidade Federal do Ceará, Fortaleza, Ceará, Brazil. Electronic address: ligiakerr@gmail.com.
J M PescariniFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom; Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil. Electronic address: julia.pescarini1@lshtm.ac.uk.
L S de M CardosoPrograma de Pós-Graduação em Saúde Pública da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; Centro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Oswaldo Cruz Foundation, Salvador, Brazil. Electronic address: laissmcardoso@gmail.com.
M NaghaviUniversity of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, USA. Electronic address: nagham@uw.edu.
D C MaltaDepartamento de Enfermagem Materno Infantil e Saúde Pública, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address: dcmalta@uol.com.br.
Unit on the Social and Environmental Determinants of Health Inequalities (SEDHI)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the occurrence of leprosy in Brazil and its states between 1990 and 2019, according to Global Burden of Disease (GBD) estimates, and its correlation with development status. STUDY

designA descriptive and analytical ecological epidemiological study.

methodsRates of incidence, prevalence, and years lived with disability (YLD) due to leprosy, standardized by age, per 100,000 inhabitants, were analyzed. The trend analysis consisted of the joinpoint regression model and the average annual percentage change. The correlation between the incidence rate and the sociodemographic index (SDI) was investigated (Spearman test) at a 5% significance level. Incidence, prevalence and YLD rates were presented by country's states, sex, and age.

resultsThere was an average percentage decrease of -1.1% per year (P < 0.001) in the incidence rate in the country and, between 1990 and 2019, a decline from 4.8 to 3.5 per 100,000 inhabitants; prevalence from 26.1 to 22.2, and YLD from 1.1 to 1.0. The incidence rate was higher among men and the elderly. Maranhão (7.0 in 1990; 4.2 in 2019), Alagoas (6.6 in 1990; 4.1 in 2019), Acre (6.1 in 1990; 4.0 in 2019), Mato Grosso (5.2 in 1990 and 3.7 in 2019), and Mato Grosso do Sul (4.8 in 1990 and 3.7 in 2019) presented the highest incidence rates. A negative correlation was observed between SDI levels and leprosy incidence rates in 1990 (R = -0.71; P < 0.0001) and 2019 (R = -0.81; P < 0.0001).

conclusionsDespite the decrease in the rates of leprosy incidence, prevalence, and YLDs over the analyzed period, Brazil has a long way towards achieving its eradication. The greater burden of the disease in males stands out. The estimated risk of the disease was higher in the states with the lowest SDI levels. Therefore, interventions must consider the heterogeneity of the disease burden geographically and between sociodemographic groups.

Indexed as

Global Burden of DiseaseLeprosyAdolescentAdultAgedBrazilChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedPersons with DisabilitiesPrevalenceBrazilDisability-adjusted life yearsGlobal Burden of DiseaseIncidenceLeprosyPrevalence

Identifiers

PMID39288716
PMCPMC11583981

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LicenceCC BY-NC-ND
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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.