Evidence map›Paper›PMID 41509902›Full record

ArticleiScience2026

Transmission heterogeneity among

Shaojun Pei, Senlu Wang, Bing Zhao, Dongxin Liu, Chong Teng, Xijiang Wang, Eryong Liu, Linjun Zhou, Fei Huang, Xinyu Bai and 9 more

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Shaojun PeiSchool of Public Health, Peking University, Beijing 100191, China.
Senlu WangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, China.
Bing ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Dongxin LiuNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Chong TengDepartment of Tuberculosis, Beijing Dongcheng District Center for Disease Control and Prevention, Beijing 100050, China.
Xijiang WangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, China.
Eryong LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Linjun ZhouTuberculosis Dispensary of Kashgar Prefecture, Kashgar 844099, China.
Fei HuangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Xinyu BaiTuberculosis Dispensary of Kashgar Prefecture, Kashgar 844099, China.
Maiweilanjiang AbulimitiTuberculosis Dispensary of Kashgar Prefecture, Kashgar 844099, China.
Maimaitiaili AihemutiTuberculosis Dispensary of Kashgar Prefecture, Kashgar 844099, China.
Tusun DiermulatiKashgar Prefecture Center for Disease Control and Prevention, Kashgar 844000, China.
Fang XieKashgar Prefecture Center for Disease Control and Prevention, Kashgar 844000, China.
Nianqiang LiuXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, China.
Le WangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, China.
Badeerhan GulinaXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, China.
Xichao OuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.
Yanlin ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Belt and Road Initiative has promoted economic growth and population mobility in Kashgar region but also increased the risk of tuberculosis (TB) transmission. Therefore, we conducted clustering and phylogenetic analyses to delineate the recent transmission and population evolution of

Indexed as

medical microbiologymicrobiologypublic health

Identifiers

PMID41509902
PMCPMC12775859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.