Evidence map›Paper›PMID 35510339›Full record

SynthesisPathogens and global health2022

Global epidemiology of leprosy from 2010 to 2020: A systematic review and meta-analysis of the proportion of sex, type, grade 2 deformity and age.

Jing Yang, Xiang Li, Yanqi Sun, Lianhua Zhang, Guangjie Jin, Guoli Li, Shunyu Zhang, Kunchi Hou, Yunhui Li

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Pathogens and global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Jing YangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Dingjiaqiao, Nanjing, China.
Xiang LiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Dingjiaqiao, Nanjing, China.
Yanqi SunDepartment of Prevention and Health Care, Rizhao People's Hospital, Shandong Provincial, Rizhao, China.
Lianhua ZhangDepartment of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu Province, Nanjing, China.
Guangjie JinDepartment of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu Province, Nanjing, China.
Guoli LiDepartment of Chronic Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu Province, Nanjing, China.
Shunyu ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Dingjiaqiao, Nanjing, China.
Kunchi HouDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Dingjiaqiao, Nanjing, China.
Yunhui LiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Dingjiaqiao, Nanjing, China.
Southeast University · CNJiangsu Provincial Center for Disease Control and Prevention · CNPeople’s Hospital of Rizhao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives of this study were to explore global epidemiological characteristics of leprosy, and to provide reference for the construction of prevention strategies for leprosy. Computer retrieval of the study on the epidemiology of leprosy from 2010 to 2020 in Web of Science, PubMed, and SCOPUS databases were summarized. The included studies were assessed for the quality of the AHRQ; the proportions of the study indices were meta-analyzed with Stata 16.0. A random effects model was adopted to merge categories, including sex, type, grade 2 deformity (G2D) and age group for meta-analysis. The subgroup analysis used region as a stratification factor to analyze whether there were differences in the indicators. The meta-analysis included 30 studies totaling 11,353 cases. The global pooled proportion of male to female subjects with leprosy was 63% (95% CI 59%, 66%) to 37% (95% CI 34%, 41%), respectively. The pooled multibacillary proportion and paucibacillary proportion were 69% (95% CI 62%, 76%) and 31% (95% CI 24%, 38%), respectively. The pooled grade 2 deformity (G2D) proportion was 22% (95% CI 15%, 30%). Among age groups, the pooled children proportion was 11% (95% CI 8%, 13%), and the pooled adult proportion was 89% (95% CI 87%, 92%). The subgroup analysis indicated that epidemiological indicators varied from country to country. This study suggested that disparities existed between sex, type, grade 2 deformity (G2D) and age group characteristics of leprosy from country to country.

Indexed as

LeprosyAdultChildFemaleHumansMaleepidemiologyLeprosymeta-analysisproportion

Identifiers

PMID35510339
PMCPMC9639561
OpenAlexW4229016256

What OpenQuestion holds

Textmetadata
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.