Evidence map›Paper›PMID 26064938›Full record

ArticleBioMed research international2015

Discrepancies in Drug Susceptibility Test for Tuberculosis Patients Resulted from the Mixed Infection and the Testing System.

Zaoxian Mei, Zhaogang Sun, Dapeng Bai, Yuhui Xu, Zhiling Li, Hairong Huang, Chuanyou Li, Shaofa Xu, Li Li

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Treating tuberculosis with high doses of anti-TB drugs: mechanisms and outcomes.Annals of clinical microbiology and antimicrobials · 2017
    Review
  5. Article
  6. Article
  7. 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

9 authors at 4 institutions in 1 country.

Zaoxian MeiDepartment of Tuberculosis, Tianjin Haihe Hospital, Tianjin 300350, China ; Tianjin Respiratory Disease Research Institute, Tianjin 300350, China.
Zhaogang SunNational Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China ; Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis & Thoratic Tumor Research Institute, Beijing 101149, China.
Dapeng BaiDepartment of Tuberculosis, Tianjin Haihe Hospital, Tianjin 300350, China ; Tianjin Respiratory Disease Research Institute, Tianjin 300350, China.
Yuhui XuNational Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China ; Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis & Thoratic Tumor Research Institute, Beijing 101149, China.
Zhiling LiDepartment of Tuberculosis, Tianjin Haihe Hospital, Tianjin 300350, China ; Tianjin Respiratory Disease Research Institute, Tianjin 300350, China.
Hairong HuangNational Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China ; Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis & Thoratic Tumor Research Institute, Beijing 101149, China.
Chuanyou LiNational Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China ; Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis & Thoratic Tumor Research Institute, Beijing 101149, China.
Shaofa XuNational Tuberculosis Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China ; Beijing Key Laboratory in Drug Resistant Tuberculosis Research, Beijing Tuberculosis & Thoratic Tumor Research Institute, Beijing 101149, China.
Li LiDepartment of Tuberculosis, Tianjin Haihe Hospital, Tianjin 300350, China ; Tianjin Respiratory Disease Research Institute, Tianjin 300350, China.
Beijing Chest Hospital · CNCapital Medical University · CNTianjin haihe hospital · CNTianjin Infectious Diseases Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To find the potential reasons for the discrepancies in the drug susceptibility test (DST) of M. tuberculosis isolates, twenty paired isolates with disputed drug susceptibilities to isoniazid (INH) were selected according to the MGIT960 testing and Löwenstein-Jensen (L-J) proportion methods. Their MICs were confirmed again by broth microdilution method and by L-J proportion method. The spoligotyping results showed that, of all the 20 paired strains, 11 paired isolates belonged to the Beijing genotype and 6 paired isolates belonged to SIT1634, and that each of the remaining 3 paired isolates had two genotypes, namely, SIT1 and SIT1634. Those 3 paired isolates with different intrapair spoligotypes were further confirmed as mixed infection by the results that those three pairs of isolates with different 12 locus MIRU intrapair types and one pair carried different base pair at codon 315 (AGC versus AAC). Totally mutations in the katG gene were identified in 13 paired isolates. No mutations were found in the regulatory sequences and open reading frames (ORF) of the inhA and ahpC genes in any of the tested isolates. Those results showed that the different test systems and the mixed infection with particular genotypes of M. tuberculosis strains contributed to the drug susceptibility discrepancies.

Indexed as

Bacterial ProteinsCatalaseDrug Resistance, BacterialHumansIsoniazidMicrobial Sensitivity TestsMutationMycobacterium tuberculosisTuberculosisBacterial ProteinsCatalaseIsoniazidkatG protein, Mycobacterium tuberculosis

Identifiers

PMID26064938
PMCPMC4433640
OpenAlexW2091708061

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.