Evidence map›Paper›PMID 36699912›Full record

ArticleFrontiers in public health2022

Whole-genome sequencing to characterize the genetic structure and transmission risk of

Lv Ji, Feng-Xi Tao, Yun-Fang Yu, Jian-Hua Liu, Feng-Hua Yu, Chun-Lin Bai, Zheng-Yang Wan, Xiao-Bo Yang, Jing Ma, Pan Zhou and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
  7. The Recent Transmission and Associated Risk Factor ofInfection and drug resistance · 2024
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  10. Evaluation of XpertmedRxiv : the preprint server for health sciences · 2023
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  11. Article
  12. Transmission ofFrontiers in public health · 2023
    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

18 authors at 3 institutions in 1 country.

Lv JiInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Feng-Xi TaoSchool of Public Health, Wuhan University, Wuhan, Hubei, China.
Yun-Fang YuInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Jian-Hua LiuInstitute of Infectious Disease Prevention and Control, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Feng-Hua YuInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Chun-Lin BaiInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Zheng-Yang WanInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Xiao-Bo YangInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Jing MaInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Pan ZhouInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Zhao NiuInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Ping ZhouInstitute of Infectious Disease Prevention and Control, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Hong XiangInstitute of Infectious Disease Prevention and Control, Yidu Center for Disease Control and Prevention, Yidu, Hubei, China.
Ming ChenClinical Laboratory, Yidu First People's Hospital, Yidu, Hubei, China.
Zhou XiangInstitute of Infectious Disease Prevention and Control, Zigui Center for Disease Control and Prevention, Zigui, Hubei, China.
Fang-Qiong ZhangClinical Laboratory, Zigui County People's Hospital, Zigui, Hubei, China.
Qi JiangSchool of Public Health, Wuhan University, Wuhan, Hubei, China.
Xiao-Jun LiuInstitute of Public Health Inspection, Yichang Center for Disease Control and Prevention, Yichang, Hubei, China.
Second Hospital of Yichang · CNWuhan University · CNHubei Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The burden of both general and drug-resistant tuberculosis in rural areas is higher than that in urban areas in China. To characterize the genetic structure and transmission risk of Methods: From 2018 to 2020, sputum samples were collected for cultures from patients with suspected tuberculosis in Yidu and Zigui county, and DNA was extracted from the positive strains for genome sequencing. The online SAM-TB platform was used to identify the genotypes and drug resistance-related mutations of each strain, establish a phylogenetic tree, and calculated the genetic distances between pairwise strains. Twelve single nucleotide polymorphisms (SNPs) were used as thresholds to identify transmission clusters. The risk of related factors was estimated by univariable and multivariable logistic regression. Results: A total of 161 out of the collected 231 positive strains were enrolled for analysis, excluding non-tuberculous mycobacterium and duplicate strains from the same patient. These strains belonged to Lineage 2 (92, 57.1%) and Lineage 4 (69, 42.9%), respectively. A total of 49 (30.4%) strains were detected with known drug resistance-related mutations, including 6 (3.7%) multidrug-resistant-TB (MDR-TB) strains and 11 (6.8%) RIF-resistant INH-susceptible TB (Rr-TB) strains. Six of the MDR/Rr-TB (35.3%) were also resistant to fluoroquinolones, which made them pre-extensively drug-resistant TB (pre-XDR-TB). There were another seven strains with mono-resistance to fluoroquinolones and one strain with resistance to both INH and fluoroquinolones, making the overall rate of fluoroquinolones resistance 8.7% (14/161). A total of 50 strains (31.1%) were identified as transmission clusters. Patients under 45 years old (adjusted odds ratio 3.46 [95% confidential intervals 1.28-9.35]), treatment-naive patients (6.14 [1.39-27.07]) and patients infected by lineage 4 strains (2.22 [1.00-4.91]) had a higher risk of transmission. Conclusion: The drug resistance of tuberculosis in rural China, especially to the second-line drug fluoroquinolones, is relatively serious. The standardized treatment for patients and the clinical use of fluoroquinolones warrant attention. At the same time, the recent transmission risk of tuberculosis is high, and rapid diagnosis and treatment management at the primary care needs to be strengthened.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsBase SequenceChinaDrug Resistance, Multiple, BacterialFluoroquinolonesHumansPhylogenyWhole Genome SequencingAntitubercular AgentsFluoroquinolonesChinese rural areamultidrug-resistant tuberculosisMycobacterium tuberculosistransmissionwhole genome sequencing

Identifiers

PMID36699912
PMCPMC9868839
OpenAlexW4313888693

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.