Evidence map›Paper›PMID 37402884›Full record

ArticleThe Journal of antibiotics2023

Rapid detection of fluoroquinolone resistance in Mycobacterium tuberculosis using a novel multienzyme isothermal rapid assay.

Ma-Chao Li, Yao Lu, Hai-Can Liu, Shi-Qiang Lin, Cheng Qian, Xiao-Tian Nan, Gui-Lian Li, Xiu-Qin Zhao, Kang-Lin Wan, Li-Li Zhao

Open access · hybridAbstract read
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In one paragraph

Article in The Journal of antibiotics, 2023. 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
0.8field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Ma-Chao Li *State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Yao Lu *Department of Laboratory Medicine, Ningbo First Hospital, Ningbo Hospital of Ningbo University, Ningbo, 315010, China.
Hai-Can Liu *State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Shi-Qiang LinCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Cheng QianBeijing Center for Disease Control and Prevention, 100013, Beijing, China.
Xiao-Tian NanState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Gui-Lian LiState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Xiu-Qin ZhaoState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Kang-Lin WanState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
Li-Li ZhaoState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China. zhaolili@icdc.cn.
National Institute for Communicable Disease Control and Prevention · CNBeijing Center for Disease Prevention and Control · CNFujian Agriculture and Forestry University · CNNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simple, rapid, and accurate detection of Fluoroquinolone (FQ) resistance is essential for early initiation of appropriate anti-tuberculosis treatment regimen among rifampicin-resistant tuberculosis (RR-TB). In this study, we developed a new assay, which combines multienzyme isothermal rapid amplification and a lateral flow strip (MIRA-LF), to identify the mutations on codons 90 and 94 of gyrA for detecting levofloxacin (LFX) resistance. Compared to conventional phenotypic drug susceptibility testing, the new assay detected fluoroquinolone resistance with a sensitivity, specificity, and accuracy of 92.4%, 98.5%, and 96.5%, respectively. Thus, these characteristics of the newly developed MIRA-LF assay make it particularly useful and accurate for detecting FQ resistance in Mycobacterium tuberculosis in resource-limited condition.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsFluoroquinolonesHumansMicrobial Sensitivity TestsMutationAntitubercular AgentsFluoroquinolones

Identifiers

PMID37402884
OpenAlexW4383105549

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.