Evidence map›Paper›PMID 20739484›Full record

ArticleJournal of clinical microbiology2010

Spoligotypes of Mycobacterium tuberculosis from different Provinces of China.

Haiyan Dong, Zhiguang Liu, Bing Lv, Yuanyuan Zhang, Jie Liu, Xiuqin Zhao, Jinghua Liu, Kanglin Wan

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Trial
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  4. Review
  5. Molecular Epidemiology of ClinicalInfection and drug resistance · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Spoligotype Variation ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genotypic Diversity ofBioMed research international · 2017
    Article
  19. Genotyping and drug-resistance epidemiology ofInternational journal of clinical and experimental pathology · 2017
    Article
  20. 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.

Haiyan DongNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, State Key Laboratory for Infectious Disease Prevention and Control, Beijing, China.
Zhiguang Liu
Bing Lv
Yuanyuan Zhang
Jie Liu
Xiuqin Zhao
Jinghua Liu
Kanglin Wan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 2,346 Mycobacterium tuberculosis isolates from 13 provinces in China were genotyped by spoligotyping. Two hundred seventy-eight spoligotypes were identified: 2,153 isolates were grouped into 85 clusters, and the remaining 193 isolates were orphans. Comparison with the SpolDB4.0 database revealed that 118 spoligotypes had shared international type numbers in the database and the other 160 were novel. These 160 novel spoligotypes were assigned to families and subfamilies using the SpotClust program. The most prevalent family was the Beijing family (74.08%), followed by the T family (14.11%). CAS family strains were found only in the Xinjiang and Tibet regions, while EAI family strains were found only in Fujian Province. In conclusion, the present study of the M. tuberculosis population in China demonstrated that Beijing family isolates are the most prevalent strains in China and that they exhibit geographical variation. Furthermore, many new spoligotypes were found in this study.

Indexed as

Bacterial Typing TechniquesDNA FingerprintingChinaDNA, BacterialGenotypeHumansMolecular EpidemiologyMycobacterium tuberculosisTuberculosisDNA, Bacterial

Identifiers

PMID20739484
PMCPMC3020837

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.