Evidence map›Paper›PMID 36631026›Full record

ArticleJournal of Korean medical science2022

Evaluation of Five User-Friendly Whole Genome Sequencing Software for

Namhee Kim, Kwang Hyuk Seok, Soyoun Shin, Boram Kim, Hyunwoong Park, Eun Youn Roh, Jong Hyun Yoon, Sue Shin

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Namhee Kim *Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-9851-1727
Kwang Hyuk Seok *Laboratory Medicine Center, The Korean Institute of Tuberculosis, Cheongju, Korea.ORCID https://orcid.org/0000-0003-3195-8775
Soyoun ShinLaboratory Medicine Center, The Korean Institute of Tuberculosis, Cheongju, Korea.ORCID https://orcid.org/0000-0002-7097-4551
Boram KimDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5695-8902
Hyunwoong ParkDepartment of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-7765-2259
Eun Youn RohDepartment of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-1787-7509
Jong Hyun YoonDepartment of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-1252-4739
Sue ShinDepartment of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-4791-8671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome sequencing (WGS) is an increasingly useful tool for tuberculosis (TB) diagnosis and disease management. In this study, we evaluated the utility of user-friendly WGS tools in reporting resistance profiles and identifying lineages of clinical TB isolates from South Korea.

methodsForty clinical samples from TB patients showing discrepancies between their rapid molecular and conventional drug susceptibility tests were used in this study. Among these clinical isolates, 37 strains were successfully evaluated via WGS software, using the GenTB, TB Profiler, PhyResSE, CASTB, and Mykrobe.

resultsMore accurate and faster susceptibility results could be obtained with isoniazid than with rifampin. Using the phenotypic test as the gold standard, the isoniazid concordance rate between phenotypic drug susceptibility test (DST) and WGS (GenTB: 45.9%, TB profiler: 40.5%, PhyResSE: 40.5%, CASTB: 48.6%, and Mykrobe: 43.2%) was much higher than between phenotypic DST and rapid molecular genotypic DST (18.9%) among the 37 strains. In contrast, the rifampin concordance rate between phenotypic DST and WGS and that between phenotypic DST and rapid molecular genotypic DST was similar (81.1-89.2%). We also found novel mutations associated with INH in

conclusionWGS may play a pivotal role in TB diagnosis and the detection of drug resistance, genetic diversity, and transmission dynamics in the near future because of its accuracy, speed, and extensibility.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsDrug Resistance, Multiple, BacterialHumansIsoniazidMicrobial Sensitivity TestsRifampinSoftwareWhole Genome SequencingAntitubercular AgentsIsoniazidRifampinDrug-Resistant TuberculosisDrug Susceptibility TestMycobacterium tuberculosisWhole Genome Sequencing

Identifiers

PMID36631026
PMCPMC9705210

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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.