Evidence map›Paper›PMID 31086215›Full record

Observational studyScientific reports2019

Prevalence and molecular characterization of multidrug-resistant M. tuberculosis in Jiangxi province, China.

Dong Luo, Qiang Chen, Guangchu Xiong, Yiping Peng, Tao Liu, Xiaowen Chen, Lingbing Zeng, Kaisen Chen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Drug resistance profile ofFrontiers in microbiology · 2025
    Article
  9. Prevalence and molecular characterization of drug-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Drug resistance characteristics ofEpidemiology and infection · 2022
    Article
  15. Article
  16. Article
  17. The Journal of international medical research · 2021
    Article
  18. Article
  19. 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 at 3 institutions in 1 country.

Dong LuoDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Qiang ChenDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Guangchu XiongDepartment of Clinical Laboratory, Jiangxi Provincial Chest Hospital, Nanchang, 330006, China.
Yiping PengDepartment of Clinical Laboratory, Jiangxi Provincial Chest Hospital, Nanchang, 330006, China.
Tao LiuDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Xiaowen ChenDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Lingbing ZengDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Kaisen ChenDepartment of Clinical Laboratory, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, China. chenks100@126.com.
First Affiliated Hospital of Nanchang University · CNNanchang University · CNJiangxi Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidrug-resistant Mycobacterium tuberculosis (MDR-TB) is a severe health threat to human beings; however, the epidemic and molecular characteristics exist along with the change in the geographic environment and genealogy. Jiangxi province is located in southeast China, which is a high-MDR-TB burden area. Rifampin (RIF) and isoniazid (INH) are the most important first-line anti-tuberculosis drugs. The major drug target genes include rpoB for RIF and katG, inhA, and ahpC for INH. To determine the frequency and distribution of mycobacterial mutations in these genes, we sequenced specific genes of M. tuberculosis that are associated with resistance to RIF and INH in 157 phenotypic MDR isolates. At the same time, RD105 DTM-PCR and 15 loci MIRU-VNTR were performed to demonstrate the genetic lineage. It was shown that the Beijing genotype was predominant (84.1%) among these strains. The results also showed mutations within the 81 bp core region of rpoB in 93.6% of strains and mutations in a structural gene (katG) and two regulatory regions (the promoter of inhA and intergenic region of oxyR-ahpC) were shown in 88.5% of phenotypic MDR isolates. There were no significant differences in codon mutations between the Beijing and non-Beijing genotypes, as well as the clustered and no-clustered strains. The most prevalent mutations involved in RIF and INH were Ser531Leu in rpoB (55.4%) and Ser315Thr in KatG (56.1%), respectively. There was no significant difference in RIF and INH resistance between MDR-TB and other drug-resistant tuberculosis (DR-TB). The results demonstrated that some MDR-TB patients are predicted to have recent transmission.

Indexed as

AdultAntitubercular AgentsBacterial ProteinsCatalaseChinaDNA, BacterialDNA-Directed RNA PolymerasesFemaleGenes, BacterialGenotypeGenotyping TechniquesHumansIsoniazidMaleMicrobial Sensitivity TestsMiddle AgedAntitubercular AgentsBacterial ProteinsCatalaseDNA, BacterialDNA-Directed RNA PolymerasesIsoniazidkatG protein, Mycobacterium tuberculosisRifampinrpoB protein, Mycobacterium tuberculosis

Identifiers

PMID31086215
PMCPMC6513856
OpenAlexW2944643145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.