Evidence map›Paper›PMID 36329987›Full record

ArticleInfection and drug resistance2022

Highly Sensitive Detection of Isoniazid Heteroresistance in

Yang Zheng, Hui Xia, Xundi Bao, Bing Zhao, Ping He, Yanlin Zhao

Abstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Heteroresistance inFrontiers in cellular and infection microbiology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Identification ofInfection and drug resistance · 2024
    Review
  8. 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

6 authors.

Yang ZhengNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Hui XiaNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Xundi BaoLaboratory Department, Anhui Chest Hospital, Anhui, People's Republic of China.
Bing ZhaoNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Ping HeNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Yanlin ZhaoNational Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The drug resistance of Patients and Methods: A TaqMan-MGB probe mutation detection assay was developed in order to determine the mutant and wild-type sequences of the isoniazid resistance Results: We discovered that ddPCR can detect mutant sequences in as few as 0.01% of a combination. DeepMelt TB/INH, which is less sensitive in comparison, cannot detect HR with high resolution and requires a mutation rate of 50% to identify. qPCR likewise has a high resolution of 0.02%, but unlike ddPCR, it cannot determine the exact number of mutations. Our assay is applicable to sputum as well. ddPCR found a Conclusion: This work demonstrates that a well-designed ddPCR HR detection test can detect low levels of HR with high accuracy and consistency and gives new information for the clinical diagnosis of drug resistance.

Indexed as

drug-resistantheteroresistanceisoniazidMycobacterium tuberculosis

Identifiers

PMID36329987
PMCPMC9624153

What OpenQuestion holds

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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.