Evidence map›Paper›PMID 25403663›Full record

ArticleAntimicrobial agents and chemotherapy2015

Evolution and transmission patterns of extensively drug-resistant tuberculosis in China.

Feifei Wang, Lingyun Shao, Xiaoping Fan, Yaojie Shen, Ni Diao, Jialin Jin, Feng Sun, Jing Wu, Jiazhen Chen, Xinhua Weng and 3 more

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Deciphering Within-Host Microevolution ofMicrobiology and molecular biology reviews : MMBR · 2019
    Review
  8. Article
  9. Article
  10. Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    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

13 authors.

Feifei WangKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China Department of Medical Microbiology and Parasitology, Shanghai Medical College, Fudan University, Shanghai, China.
Lingyun ShaoKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Xiaoping FanKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Yaojie ShenKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Ni DiaoKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Jialin JinKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Feng SunKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Jing WuKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Jiazhen ChenKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Xinhua WengKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China.
Xunjia ChengDepartment of Medical Microbiology and Parasitology, Shanghai Medical College, Fudan University, Shanghai, China.
Ying ZhangKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Wenhong ZhangKey Laboratory of Medical Molecular Virology, Huashan Hospital, Fudan University, Shanghai, China Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China zhangwenhong@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and transmission of extensively drug-resistant tuberculosis (XDR-TB) pose an increasing threat to global TB control. This study aimed to identify the patterns of evolution and transmission dynamics of XDR-TB in populations in a region of China where TB is highly endemic. We analyzed a total of 95 XDR-TB isolates collected from 2003 to 2009 in Chongqing, China. Eight drug resistance genes covering 7 drugs that define XDR-TB were amplified by PCR followed by DNA sequencing. Variable-number tandem repeat 16-locus (VNTR-16) genotyping and genotypic drug resistance profiles were used to determine the evolution or transmission patterns of XDR-TB strains. Our results indicated that the Beijing genotype was predominant (85/95 [89.5%]) in XDR-TB strains, and as many as 40.0% (38/95) of the isolates were distributed into 6 clusters based on VNTR-16 genotyping and drug resistance mutation profiles. All isolates of each cluster harbored as many as six identical resistance mutations in the drug resistance genes rpoB, katG, inhA promoter, embB, rpsL, and gidB. Among the nine cases with continuous isolates from multidrug-resistant (MDR) to XDR-TB, 4 cases represented acquired drug resistance, 4 cases were caused by transmission, and 1 case was due to exogenous superinfection. The XDR-TB epidemic in China is mainly caused by a high degree of clonal transmission, but evolution from MDR to XDR and even superinfection with a new XDR strain can also occur.

Indexed as

Biological EvolutionAntitubercular AgentsBacterial ProteinsChinaDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisGenotypeHumansPolymerase Chain ReactionTuberculosis, Multidrug-ResistantAntitubercular AgentsBacterial Proteins

Identifiers

PMID25403663
PMCPMC4335892

What OpenQuestion holds

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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.