Evidence map›Paper›PMID 39371579›Full record

ArticleInfection and drug resistance2024

Genomic and Spatial Analysis on the Recent Transmission of

Xiwen Yin, Qiang Zhang, Yuting Wang, Bilin Tao, Xiaolong Zhang, Jinyan Shi, Xiaowei Deng, Jianming Wang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. 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

8 authors.

Xiwen Yin *Department of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.ORCID 0009-0007-0978-2888
Qiang Zhang *Department of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.
Yuting WangDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.ORCID 0000-0002-3639-2929
Bilin TaoDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.ORCID 0000-0003-1366-6322
Xiaolong ZhangDepartment of Tuberculosis Control, Center for Disease Control and Prevention, Suzhou, 215000, People's Republic of China.ORCID 0009-0008-2108-4983
Jinyan ShiDepartment of Clinical Laboratory, The Fourth People's Hospital of Lianyungang, Lianyungang, 222000, People's Republic of China.
Xiaowei DengDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.ORCID 0000-0002-9892-2470
Jianming WangDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing, 211166, People's Republic of China.ORCID 0000-0002-9151-284X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Understanding the mode of Patients and Methods: We selected Lianyungang, an eastern city in China, as the study site. Patients diagnosed with active pulmonary TB from 2011 to 2020 were enrolled as the study subjects. We isolated and sequenced 2252 Results: After excluding non-tuberculous mycobacteria and duplicated samples, 2114 strains were included in the final analysis. These strains comprised lineage 2 (1593, 75.35%) and 4 (521, 24.65%). There were 672 clustered strains, with a recent transmission rate of 31.79%. The logistic regression model showed that the risk of recent transmission was high in students [adjusted odds ratio (aOR): 2.68, 95% confidence interval (CI): 1.63-4.49, Conclusion: There are areas with a high risk of transmission for

Indexed as

clusterspatial analysistransmissiontuberculosiswhole genome sequencing

Identifiers

PMID39371579
PMCPMC11451459

What OpenQuestion holds

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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.