Evidence map›Paper›PMID 38495513›Full record

ArticleFrontiers in microbiology2024

Rapid detection of multidrug resistance in tuberculosis using nanopore-based targeted next-generation sequencing: a multicenter, double-blind study.

Aimei Liu, Sang Liu, Kangyan Lv, Qingdong Zhu, Jun Wen, Jianpeng Li, Chengyuan Liang, Xuegang Huang, Chunming Gong, Qingfeng Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

11 authors at 5 institutions in 1 country.

Aimei Liu *Department of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, Liuzhou, Guangxi, China.
Sang Liu *Department of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, Liuzhou, Guangxi, China.
Kangyan LvDepartment of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, Liuzhou, Guangxi, China.
Qingdong ZhuDepartment of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, Guangxi, China.
Jun WenDepartment of Pulmonary Medicine, The Third People's Hospital of Guilin, Guilin, Guangxi, China.
Jianpeng LiDepartment of Pulmonary Medicine, The Third People's Hospital of Wuzhou, Wuzhou, Guangxi, China.
Chengyuan LiangDepartment of Infectious Diseases, The People's Hospital of Baise, Baise, Guangxi, China.
Xuegang HuangDepartment of Infectious Diseases, The First People's Hospital of Fangchenggang, Fangchenggang, Guangxi, China.
Chunming GongDepartment of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, Liuzhou, Guangxi, China.
Qingfeng SunDepartment of Tuberculosis, Guangxi Zhuang Autonomous Region Chest Hospital, Liuzhou, Guangxi, China.
Hongcang GuInstitute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China.
Baise University · CNChinese Academy of Sciences · CNNantong University · CNThe Fourth People's Hospital · CNThe Third People's Hospital of Dalian City · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Resistance to anti-tuberculous drugs is a major challenge in the treatment of tuberculosis (TB). We aimed to evaluate the clinical availability of nanopore-based targeted next-generation sequencing (NanoTNGS) for the diagnosis of drug-resistant tuberculosis (DR-TB). Methods: This study enrolled 253 patients with suspected DR-TB from six hospitals. The diagnostic efficacy of NanoTNGS for detecting Results: NanoTNGS showed a remarkable concordance rate of 99.44% (179/180) with the culture assay for identifying the Conclusion: NanoTNGS rapidly and accurately identifies resistance or susceptibility to anti-TB drugs, outperforming traditional methods. Clinical implementation of the technique can recognize DR-TB in time and provide guidance for choosing appropriate antituberculosis agents.

Indexed as

drug-resistant tuberculosismolecular diagnosismutationMycobacterium tuberculosisnanopore sequencing

Identifiers

PMID38495513
PMCPMC10940340
OpenAlexW4392353724

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.