Evidence map›Paper›PMID 29985930›Full record

SynthesisPLoS neglected tropical diseases2018

Socioeconomic risk markers of leprosy in high-burden countries: A systematic review and meta-analysis.

Julia Moreira Pescarini, Agostino Strina, Joilda Silva Nery, Lacita Menezes Skalinski, Kaio Vinicius Freitas de Andrade, Maria Lucia F Penna, Elizabeth B Brickley, Laura C Rodrigues, Mauricio Lima Barreto, Gerson Oliveira Penna

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 3 pooled it
9.8field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 3 syntheses or guidelines pooled it, 196 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Association ofFrontiers in immunology · 2021
    Pooled it
  4. Hidden burden of leprosy in incarcerated populations in northeast Brazil: active case detection and serological assessment.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Molecular Detection ofTropical medicine and infectious disease · 2025
    Review
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 2 countries.

Julia Moreira PescariniCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Fundação Oswaldo Cruz, Salvador, Brazil.ORCID 0000-0001-8711-9589
Agostino StrinaCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Fundação Oswaldo Cruz, Salvador, Brazil.
Joilda Silva NeryCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Fundação Oswaldo Cruz, Salvador, Brazil.
Lacita Menezes SkalinskiInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.
Kaio Vinicius Freitas de AndradeInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil.ORCID 0000-0002-4603-9109
Maria Lucia F PennaUniversidade Federal Fluminense, Instituto de Saúde da Comunidade, Niterói, Brazil.ORCID 0000-0003-0371-8037
Elizabeth B BrickleyDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Laura C RodriguesDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Mauricio Lima BarretoCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), Fundação Oswaldo Cruz, Salvador, Brazil.
Gerson Oliveira PennaCentro de Medicina Tropical, Universidade de Brasilia (UNB), Brasilia, Brazil.
London School of Hygiene & Tropical Medicine · GBUniversidade Federal da Bahia · BRFundação Oswaldo Cruz · BRUniversidade de Brasília · BRUniversidade Federal Fluminense · BR

Funding

Medical Research Council MR/N017250/1Wellcome Trust
6 · The paper itself

Abstract

Over 200,000 new cases of leprosy are detected each year, of which approximately 7% are associated with grade-2 disabilities (G2Ds). For achieving leprosy elimination, one of the main challenges will be targeting higher risk groups within endemic communities. Nevertheless, the socioeconomic risk markers of leprosy remain poorly understood. To address this gap we systematically reviewed MEDLINE/PubMed, Embase, LILACS and Web of Science for original articles investigating the social determinants of leprosy in countries with > 1000 cases/year in at least five years between 2006 and 2016. Cohort, case-control, cross-sectional, and ecological studies were eligible for inclusion; qualitative studies, case reports, and reviews were excluded. Out of 1,534 non-duplicate records, 96 full-text articles were reviewed, and 39 met inclusion criteria. 17 were included in random-effects meta-analyses for sex, occupation, food shortage, household contact, crowding, and lack of clean (i.e., treated) water. The majority of studies were conducted in Brazil, India, or Bangladesh while none were undertaken in low-income countries. Descriptive synthesis indicated that increased age, poor sanitary and socioeconomic conditions, lower level of education, and food-insecurity are risk markers for leprosy. Additionally, in pooled estimates, leprosy was associated with being male (RR = 1.33, 95% CI = 1.06-1.67), performing manual labor (RR = 2.15, 95% CI = 0.97-4.74), suffering from food shortage in the past (RR = 1.39, 95% CI = 1.05-1.85), being a household contact of a leprosy patient (RR = 3.40, 95% CI = 2.24-5.18), and living in a crowded household (≥5 per household) (RR = 1.38, 95% CI = 1.14-1.67). Lack of clean water did not appear to be a risk marker of leprosy (RR = 0.94, 95% CI = 0.65-1.35). Additionally, ecological studies provided evidence that lower inequality, better human development, increased healthcare coverage, and cash transfer programs are linked with lower leprosy risks. These findings point to a consistent relationship between leprosy and unfavorable economic circumstances and, thereby, underscore the pressing need of leprosy control policies to target socially vulnerable groups in high-burden countries.

Indexed as

Developing CountriesHumansLeprosySocioeconomic Factors

Identifiers

PMID29985930
PMCPMC6053250
OpenAlexW2817242471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.