Evidence map›Paper›PMID 40964056›Full record

ArticleFrontiers in cellular and infection microbiology2025

Epidemiological features of tuberculosis infection in a high-altitude population: a population-based, cross-sectional survey in Tibet, China.

Jian Wang, Shaojun Pei, Guofeng Yang, Nima Qucuo, Qifei Song, Xiaoqiu Liu, Xue Li, Wei Chen, Tao Li, Eryong Liu and 6 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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

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

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

16 authors.

Jian Wang *Centre for Disease Control and Prevention of Tibetan Autonomous Region, Tibet, Lhasa, China.
Shaojun Pei *Department of Global Health, School of Public Health, Peking University, Beijing, China.
Guofeng YangCentre for Disease Control and Prevention of Tibetan Autonomous Region, Tibet, Lhasa, China.
Nima QucuoCentre for Disease Control and Prevention of Tibetan Autonomous Region, Tibet, Lhasa, China.
Qifei SongCentre for Disease Control and Prevention of Tibetan Autonomous Region, Tibet, Lhasa, China.
Xiaoqiu LiuNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Xue LiNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Wei ChenNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Tao LiNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Eryong LiuNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Xichao OuNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Hui ChenNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Ni NiNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Jingjuan RenNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Yanlin ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Hongqiang GongCentre for Disease Control and Prevention of Tibetan Autonomous Region, Tibet, Lhasa, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Targeted strategies for marginalized populations, including high-altitude communities, are crucial for TB elimination. This study assessed TB infection (TBI) prevalence across altitudinal gradients and evaluated altitude-dependent risk factors in Tibet, China. Methods: A cross-sectional survey by multistage stratified random cluster sampling was conducted using ESAT6-CFP10 skin test (C-TST), symptom screening, chest X-rays, and bacteriological tests. The influencing factors of C-TST positivity were analyzed via generalized linear mixed models (GLMMs) and Boruta algorithm feature ranking. The TBI prevalence was estimated using WHO-recommended methods. Causal mediation analysis was performed to explore mediating variables contributing to association between altitude and TBI prevalence. Results: The estimated TBI prevalence in Tibet was 20.7% (95% CI 14.3%-33.0%). Residential altitude was the strongest predictor of C-TST positivity (aOR=0.53, p<0.001). The interaction analyses revealed significant modification effects of both smoking status (interaction p=0.0065) and BCG vaccination (interaction p=0.028) on the altitude-C-TST positivity association. Mediation analysis indicated that the observed inverse relationship between study site altitude and crude TBI prevalence was mediated by per capita land space (IE= -6.29e-05, p=0.04). The prevalence of TBI in very high-altitude (VHA) areas was 12.8%, approximately one-third of that in high-altitude (HA) areas (35.0%). Stratified analyses revealed distinct risk profiles - occupational exposures predominated in HA regions, whereas physiological factors (age, BMI, smoking) drove positivity in VHA areas. Conclusion: Our results suggest that TB infection is significantly associated with altitude, necessitating accelerated research into plateau-specific disease mechanisms and the development of targeted public health strategies tailored to local socio-medical conditions. This integrated biological and socio-economic approach is essential to overcome the compounded vulnerabilities of high-altitude populations and ensure that China equitably achieves its goal of eliminating TB.

Indexed as

AltitudeTuberculosisAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsTibetTuberculin TestYoung AdultESAT6-CFP10 skin testhigh altitudeTibettuberculosis infectionvery high altitude

Identifiers

PMID40964056
PMCPMC12436351

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.