Evidence map›Paper›PMID 36062095›Full record

ArticleFrontiers in public health2022

Evaluation of whole-genome sequence to predict drug resistance of nine anti-

Yang Che, Yi Lin, Tianchi Yang, Tong Chen, Guoxin Sang, Qin Chen, Tianfeng He

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026
    Pooled it
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  6. Molecular and Transmission Characteristics ofInfection and drug resistance · 2025
    Article
  7. Prevalence and molecular characterization of drug-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  8. The T120P or M172V mutation onEmerging microbes & infections · 2024
    Article
  9. Article
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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

7 authors at 3 institutions in 1 country.

Yang CheInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Yi LinCenter for Health Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China.
Tianchi YangInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Tong ChenInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Guoxin SangInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Qin ChenDepartment of Disease Prevention and Health Promotion, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Tianfeng HeInstitute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Ningbo Center for Disease Control and Prevention · CNUniversity of Chinese Academy of Sciences · CNUniversity of Nottingham Ningbo China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Setting: Controlling drug-resistant Objective: Whole-genome sequencing (WGS) has not been employed to comprehensively study Design: Drug resistance was predicted by WGS in a "TB-Profiler" web service after phenotypic drug susceptibility tests (DSTs) against nine anti-TB drugs among 59 clinical isolates. A comparison of consistency, sensitivity, specificity, and positive and negative predictive values between WGS and DST were carried out for each drug. Results: The sensitivities and specificities for WGS were 95.92 and 90% for isoniazid (INH), 100 and 64.1% for ethambutol (EMB), 97.37 and 100% for streptomycin (SM), 75 and 100% for amikacin (AM), 80 and 96.3%for capreomycin (CAP), 100 and 97.22% for levofloxacin (LFX), 93.33 and 90.91% for prothionamide (PTO), and 70 and 97.96% for para-aminosalicylic acid (PAS). Around 53 (89.83%) and 6 (10.17%) of the isolates belonged to lineage two (East-Asian) and lineage four (Euro-American), respectively. Conclusion: Whole-genome sequencing is a reliable method for predicting resistance to INH, RIF, EMB, SM, AM, CAP, LFX, PTO, and PAS with high consistency, sensitivity, and specificity. There was no transmission that occurred among the patients with RR-TB in Ningbo, China.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsDrug ResistanceEthambutolHumansMicrobial Sensitivity TestsRifampinAntitubercular AgentsEthambutolRifampindrug resistancedrug susceptibility testgene mutationrifampicin-resistant tuberculosiswhole-genome sequencing

Identifiers

PMID36062095
PMCPMC9433565
OpenAlexW4292411937

What OpenQuestion holds

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LicenceCC BY
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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.