Evidence map›Paper›PMID 41263975›Full record

ArticleInternational journal of biometeorology2025

Combined effects of air pollution and meteorological factors on the risk of newly tuberculosis cases: a time-series study in Tibet, China.

Luo Guo, Jingran Dong, Junfeng Zhang, Zhuang Cui, Changping Li, Su Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of biometeorology, 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

6 authors.

Luo Guo *Department of Industrial Engineering, Tsinghua University, Shunde Building South 611, Beijing, 100084, China.
Jingran Dong *Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Junfeng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Zhuang CuiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Changping LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Su WuDepartment of Industrial Engineering, Tsinghua University, Shunde Building South 611, Beijing, 100084, China. wusu@tsinghua.edu.cn.

Funding

National Natural Science Foundation of China No.72374153Tibet Autonomous Region Key Research and Development Program (Research on Key Technologies for Multi-Channel Surveillance and Early Warning of Major Infectious Diseases and Construction of an Intelligent Platform in Tibet） Tibet Autonomous Region Key Research and Development Program (Research on Key Technologies for Multi-Channel Surveillance and Early Warning of Major Infectious Diseases and Construction of an Intelligent Platform in Tibet）
6 · The paper itself

Abstract

The Tibet Autonomous Region, the world's highest region, faces high tuberculosis (TB) rates, exacerbated by its unique environment and climate. However, the combined impact of air pollution and meteorological factors exposure on the prevalence of TB remains understudied. Daily data on TB cases, air pollutants (PM

Indexed as

Air PollutionEnvironmental ExposureMeteorological ConceptsTuberculosisAdolescentAdultAgedAir PollutantsChildFemaleHumansMaleMiddle AgedPrevalenceTibetYoung AdultAir PollutantsAir pollutionEnvironmental healthHigh-altitude regionsMeteorological factorsPM10PrecipitationTuberculosis

Identifiers

PMID41263975
PMCPMC12689801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.