Evidence map›Paper›PMID 29396866›Full record

ArticleJournal of clinical laboratory analysis2018

Genetic and phenotypic characterizations of drug-resistant Mycobacterium tuberculosis isolates in Cheonan, Korea.

Jae-Sik Jeon, Jae Kyung Kim, Qute Choi, Jong Wan Kim

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Prevalence ofJournal of clinical tuberculosis and other mycobacterial diseases · 2023
    Article
  2. 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

4 authors at 2 institutions in 1 country.

Jae-Sik JeonDepartment of Biomedical Laboratory Science, Dankook University College of Health Sciences, Cheonan, Korea.ORCID http://orcid.org/0000-0001-8981-5705
Jae Kyung KimDepartment of Biomedical Laboratory Science, Dankook University College of Health Sciences, Cheonan, Korea.ORCID http://orcid.org/0000-0002-1534-563X
Qute ChoiDepartment of Laboratory Medicine, Dankook University Hospital, Cheonan, Korea.ORCID http://orcid.org/0000-0002-8520-3119
Jong Wan KimDepartment of Laboratory Medicine, Dankook University College of Medicine, Cheonan, Korea.
Dankook University · KRDankook University Hospital · KR

Funding

Dankook University
6 · The paper itself

Abstract

backgroundMycobacterium tuberculosis (MTB) causes tuberculosis (TB), which is a fatal disease. Cases of drug-resistant MTB have increased in recent years. In this study, we analyzed 7 sites of MTB DNA sequences, including the rpoB and inhA gene, to investigate the relationship between gene mutations and drug resistance in MTB.

methodsMycobacterium tuberculosis liquid culture samples (197 specimens from 74 cases) were collected between June 2015 and May 2016 and sequenced. The results were compared with those obtained from antibiotic susceptibility tests.

resultsIn 65 (87.8%) cases, the antibiotic-resistant phenotype was consistent with genotyping results, whereas in 9 (12.2%) cases, there was no match. Eight mutations were detected in the rpoB gene, which showed the highest mutation rate. Sequencing results indicated that these mutations were present in 12 cases.

conclusionPreviously published data on antibiotic resistance genes are insufficient for effective prevention of multidrug- or extensive drug-resistant TB. Additional studies are needed to characterize the complement of antibiotic resistance genes in MTB.

Indexed as

antimicrobial susceptibility testdrug resistancemultidrug resistancesequencing testtuberculosis

Identifiers

PMID29396866
PMCPMC6817145
OpenAlexW2790702646

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.