Evidence map›Paper›PMID 40843138›Full record

ArticleChina CDC weekly2025

Epidemiological Characteristics of Tuberculosis Among Interprovincial Migrants - China, 2019-2023.

Da Xu, Xue Li, Feifei Tian, Zhezhe Cui, Wei Chen

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Da Xu *National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xue Li *National Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
Feifei Tian *Daxing Center for Disease Control and Prevention, Beijing, China.
Zhezhe CuiGuangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning City, Guangxi Zhuang Autonomous Region, China.
Wei ChenChinese Field Epidemiology Training Program, Chinese Centre for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tuberculosis (TB) represents one of China's most significant infectious disease, with inter-provincial population migration posing a challenge to controlling its spread. This study examined TB cases among inter-provincial migrants across China from 2019 to 2023. Methods: TB surveillance data were extracted from China's Tuberculosis Information Management System and analyzed using R software (version 4.4.0). After information desensitization, the relevant information of TB patients with differing current and permanent address codes was extracted. Results: Between 2019 and 2023, we identified 123,945 TB cases among inter-provincial migrants, representing 4.03% (123,945/3,077,951) of all reported TB cases. The primary destination provincial-level administrative divisions (PLADs) for TB patients were Guangdong (48,183 cases, 38.9%), Zhejiang (27,383 cases, 22.1%), Fujian (8,582 cases, 6.9%), Beijing (7,959 cases, 6.4%), and Shanghai (7,403 cases, 5.9%), collectively accounting for 80.3% of all inter-provincial migrant TB cases. The PLADs with the highest outflow of TB migrants were Sichuan (15,155 cases, 12.23%), Hunan (14,707 cases, 11.87%), Guizhou (13,927 cases, 11.24%), Jiangxi (8,892 cases, 7.17%), and Hubei (8,441 cases, 6.81%). Among these migrant cases, 66.2% were male, 93.0% were newly diagnosed, 2.4% exhibited drug resistance. The proportion of individuals aged 45-64, aged ≥65 and re-treated exhibited a significant annual increase ( Conclusion: From 2019 to 2023, the characteristics of TB among inter-PLADs migrant patients have undergone certain changes. The migration of TB primarily flows from economically weaker regions to more developed areas, with the main destination PLADs relatively stable. Effective TB control among inter-PLADs migrants requires targeted screening programs focusing on individuals from major source and destination PLADs. Tailored strategies should be developed based on the migration patterns of different PLADs.

Indexed as

InterprovincialMigrantsTuberculosis

Identifiers

PMID40843138
PMCPMC12365652

What Socratic holds

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Registered trials

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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 Socratic graph.