Evidence map›Paper›PMID 36910195›Full record

ArticleFrontiers in microbiology2023

A rapid, accurate, and low-cost method for detecting

Han Yang, Aifang Li, Liyun Dang, Tao Kang, Fei Ren, Jinbao Ma, Yong Zhou, Yuanli Yang, Jing Lei, Tao Zhang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Heteroresistance inFrontiers in cellular and infection microbiology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Rapid authentication of endangeredFrontiers in plant science · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Diagnostic efficacy of an optimized nucleotide MALDI-TOF-MS assay for anti-tuberculosis drug resistance detection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    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

10 authors.

Han YangCollege of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Aifang LiDepartment of Laboratory Medicine, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Liyun DangDepartment of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Tao KangDepartment of Reagent, Zhejiang Digena Diagnosis Technology CO., LTD, Zhejiang, China.
Fei RenDepartment of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Jinbao MaDepartment of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Yong ZhouEndoscopy Clinic Centre, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Yuanli YangDepartment of Tuberculosis, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Jing LeiDepartment of Laboratory Medicine, Xi'an Chest Hospital, Xi 'an Jiaotong University Health Science Center, Xi'an, China.
Tao ZhangCollege of Pharmacy, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: The limit of detection (LOD) and clinical application value of MassARRAY were evaluated using reference strains and clinical isolates. MTB in bronchoalveolar lavage fluid (BALF) and sputum samples were detected using MassARRAY, quantitative real-time polymerase chain reaction (qPCR) and MGIT960 liquid culture (culture). Using culture as the standard, the efficacy of MassARRAY and qPCR for the detection of TB was analyzed. Mutation of drug resistance genes in MTB clinical isolates was tested using MassARRAY, high-resolution melting curve (HRM), and Sanger sequencing. Using sequencing as the standard, the efficacy of MassARRAY, and HRM for the detection of each drug resistance site of MTB was analyzed. Simultaneously, the mutation of drug resistance genes by the MassARRAY method was compared with the results of drug susceptibility testing (DST), and the genotype-phenotype relationship was analyzed. The ability of MassARRAY to discriminate mixed infections was detected using mixtures of standard strains (M. tuberculosis H37Rv) and drug-resistant clinical isolates and mixtures of wild-type and mutant plasmids. Results: In MassARRAY, 20 related gene mutations could be detected by two PCR systems. All genes could be accurately detected when the bacterial load was 10 Discussion: MassARRAY can obtain base mutation information and identify heteroresistance infections simultaneously when the mutant proportion was at least 5-25%. It has good application prospects in the diagnosis of DR-TB with high throughput, accurate and low-cost.

Indexed as

diagnosisdrug resistancegene mutationMassARRAYmycobacterium tuberculosis

Identifiers

PMID36910195
PMCPMC9996023

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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.