Evidence map›Paper›PMID 25905061›Full record

ArticleIranian journal of public health2015

Predictive Power of ETRE Polymorphism and Katg463 Mutation to INH-Resistance of M.tuberculosis.

Yu-Feng Wen, Chao Jiang, Xian-Feng Cheng, Zhi-Ping Zhang, Bai-Feng Chen, Yu Zhu

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

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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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Yu-Feng WenSchool of Public Health, Wan Nan Medical College, Wuhu, China.
Chao JiangSchool of Public Health, Wan Nan Medical College, Wuhu, China.
Xian-Feng ChengSchool of Public Health, Wan Nan Medical College, Wuhu, China.
Zhi-Ping ZhangCentre for Disease Prevention and Control of Anqing City, Anqing, China.
Bai-Feng ChenSchool of Public Health, Wan Nan Medical College, Wuhu, China.
Yu ZhuSchool of Public Health, Wan Nan Medical College, Wuhu, China.
Wannan Medical College · CNAnqing City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe MIRU-VNTR polymorphism and katG463 mutation are used to genotype the mycobacterium tuberculosis, but the correlation between them and INH-resistance were unknown. This study was aimed to explore whether ETRE polymorphism and katG463 mutation could predict the INH-resistance, and the relationship between ETRE polymorphism and katG463 mutation.

methodsThe ETRE, katG463 mutation and drug resistance information of 109 M. tuberculosis strains were collected from online public database. We constructed the predictive diagnostic tool of ETRE polymorphism and katG463 mutation. Chi-square test was used to analyze the relationship between ETRE polymorphism, katG463 mutation and INH-resistance. ROC curve analysis and Z-test were used to evaluate the predictive ability of ETRE and katG463. The relationship between ETRE polymorphism and katG463 mutation was analyzed with Spearman correlation analysis.

resultsThe mutation rate of katG463 was 27.50%, and the h value of ETRE polymorphism was 0.67. KatG463 mutation was associated with INH resistance (OR=3.72). The INH drug resistance rate in VNTR≧5 group was 3.43 times higher than that in VNTR≦3 group (χ(2) =24.77, P<0.01), and there was no significant difference of INH resistance between the VNTR=4 group and VNTR≦3 group. The areas under the ROC curve of two loci prediction diagnostic tools were 0.64 and 0.70 respectively. The katG463 mutation was significantly related to the ETRE polymorphism (r=0.79, P<0.01).

conclusionBoth katG463 mutation and the ETRE polymorphism can predict the INH-resistance of tuberculosis. The katG463 mutation was associated with ETRE VNTR polymorphism.

Indexed as

Drug resistanceETREkatG463M.tuberculosisVNTR

Identifiers

PMID25905061
PMCPMC4401885
OpenAlexW2122382922

What OpenQuestion holds

Textmetadata
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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.