Evidence map›Paper›PMID 39898352›Full record

ArticleInfection and drug resistance2025

Molecular and Transmission Characteristics of

Xiaolong Cao, Xinyue Li, Zexuan Song, Ping He, Ruiqing Zhang, Chong Teng, Qian Sun, Xue Wang, Bing Zhao, Zhiguo Zhang and 1 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Xiaolong Cao *National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.ORCID 0009-0000-7250-9736
Xinyue Li *National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
Zexuan SongDepartment of Clinical Laboratory, Children's Hospital, Capital Institute of Pediatrics, Beijing, 100020, People's Republic of China.
Ping HeCenter for Infection Biology, School of Medicine, Tsinghua University, Beijing, 100084, People's Republic of China.
Ruiqing ZhangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
Chong TengTuberculosis Prevention and Control Department, Beijing Dongcheng District Center for Disease Control and Prevention, Beijing, 100050, People's Republic of China.
Qian SunOutpatient Department, Beijing Changping Institute for Tuberculosis Prevention and Treatment, Beijing, 102200, People's Republic of China.
Xue WangOutpatient Department, Beijing Changping Institute for Tuberculosis Prevention and Treatment, Beijing, 102200, People's Republic of China.
Bing ZhaoNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.
Zhiguo ZhangHospital Management Office, Beijing Changping Mental Health Care Hospital, Beijing, 102202, People's Republic of China.
Yanlin ZhaoNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: College students are a crucial link in curbing the epidemic. The aim of this study is to analyze the genetic diversity and drug resistance of Methods: This study used the hospital's electronic management system to screen for tuberculosis among college students in Changping District, Beijing, from January 2004 to December 2023. Socio-demographic and clinical data were collected, and whole-genome sequencing was performed on culture-positive isolates. Isolates with a genetic distance of less than 12 SNPs were grouped into the same genomic cluster. The TB Profiler software predicted drug resistance mutations, and categorical data were analyzed using Chi-square or Fisher's exact tests. Results: Among the 1436 college students with tuberculosis, a total of 153 isolates successfully underwent whole-genome sequencing. The results showed that about one-third (49/153) of the isolates carried one or more drug resistance genes, with more than half (26/49) associated with first-line anti-tuberculosis drugs. However, encouragingly, the incidence of drug-resistant tuberculosis showed a significant downward trend, with statistical significance ( Conclusion: The drug resistance rate among college students is relatively high, however it shows a declining trend. School tuberculosis infections could stem not only from within-campus transmission but also necessitate consideration of spatial and cross-regional spread possibilities.

Indexed as

college studentsdrug resistancelineageMycobacterium tuberculosistransmissionwhole genome sequencing

Identifiers

PMID39898352
PMCPMC11784391

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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.