Evidence map›Paper›PMID 37193005›Full record

ArticleJAC-antimicrobial resistance2023

A comparison of phenotypic and WGS drug susceptibility testing in

Seung Heon Lee, Elena Ferran, Adam A Witney, Sungweon Ryu, Hyungseok Kang, Nathaniel Storey, Timothy D McHugh, Giovanni Satta

Open access · goldAbstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors at 6 institutions in 2 countries.

Seung Heon LeeDivision of Pulmonary, Sleep, and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.ORCID https://orcid.org/0000-0002-7180-3877
Elena FerranBarts Health NHS Trust, Pathology, London, UK.ORCID https://orcid.org/0000-0002-8472-7383
Adam A WitneyInstitute for Infection and Immunity, St George's University of London, London, UK.
Sungweon RyuClinical Research Centre, Masan National Tuberculosis Hospital, Changwon, South Korea.
Hyungseok KangClinical Research Centre, Masan National Tuberculosis Hospital, Changwon, South Korea.
Nathaniel StoreyGreat Ormond Street Hospital for Children NHS Foundation Trust, Microbiology, Virology and Infection Prevention and Control, London, UK.
Timothy D McHughCentre for Clinical Microbiology, Department of Infection, University College London, London, UK.
Giovanni SattaCentre for Clinical Microbiology, Department of Infection, University College London, London, UK.
Masan National Tuberculosis Hospital · KRUniversity College London · GBBarts Health NHS Trust · GBGreat Ormond Street Hospital for Children NHS Foundation Trust · GBKorea University · KRSt George's, University of London · GB

Funding

Medical Research Council MR/T023686/2
6 · The paper itself

Abstract

Background: WGS has significant potential to help tackle the major public health problem of TB. The Republic of Korea has the third highest rates of TB of all Organisation for Economic Cooperation and Development countries but there has been very limited use of WGS in TB to date. Objectives: A retrospective comparison of Methods: Fifty-seven MTB isolates had DNA extracted and were sequenced using the Illumina HiSeq platform. The WGS analysis was performed using bwa mem, bcftools and IQ-Tree; resistance markers were identified using TB profiler. Phenotypic susceptibilities were carried out at the Supranational TB reference laboratory (Korean Institute of Tuberculosis). Results: For first-line antituberculous drugs concordance for rifampicin, isoniazid, pyrazinamide and ethambutol was 98.25%, 92.98%, 87.72% and 85.96%, respectively. The sensitivity of WGS-DSP compared with pDST for rifampicin, isoniazid, pyrazinamide and ethambutol was 97.30%, 92.11%, 78.95% and 95.65%, respectively. The specificity for these first-line antituberculous drugs was 100%, 94.74%, 92.11% and 79.41%, respectively. The sensitivity and specificity for second-line drugs ranged from 66.67% to 100%, and from 82.98% to 100%, respectively. Conclusions: This study confirms the potential role for WGS in drug susceptibility prediction, which would reduce turnaround times. However, further larger studies are needed to ensure current databases of drug resistance mutations are reflective of the TB present in the Republic of Korea.

Identifiers

PMID37193005
PMCPMC10182733
OpenAlexW4376872165

What OpenQuestion holds

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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.