Evidence map›Paper›PMID 33688383›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2021

Identification of Nontuberculous Mycobacteria in Patients with Pulmonary Diseases in Gyeongnam, Korea, Using Multiplex PCR and Multigene Sequence-Based Analysis.

Min-Jeong Kim, Kyu-Min Kim, Jeong-Ih Shin, Jong-Hun Ha, Dong-Hae Lee, Jeong-Gyu Choi, Jin-Sik Park, Jung-Hyun Byun, Jung-Wan Yoo, Seokyong Eum and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Prevalence ofFrontiers in microbiology · 2024
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  9. The State-of-the-Art ofHealthcare (Basel, Switzerland) · 2024
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  14. The Homologous Gene of Chromosomal Virulence D (Infection and drug resistance · 2023
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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

15 authors at 3 institutions in 1 country.

Min-Jeong KimDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Kyu-Min KimDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Jeong-Ih ShinDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Jong-Hun HaDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Dong-Hae LeeDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Jeong-Gyu ChoiDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Jin-Sik ParkDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Jung-Hyun ByunDepartment of Laboratory Medicine, Gyeongsang National University Hospital, Jinju 52727, Republic of Korea.
Jung-Wan YooDepartment of Internal Medicine, Gyeongsang National University Hospital, Jinju 52727, Republic of Korea.
Seokyong EumInternational Tuberculosis Research Center, Changwon 51755, Republic of Korea.
Myunghwan JungDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Seung Chul BaikDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Woo Kon LeeDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Hyung Lyun KangDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.
Min-Kyoung ShinDepartment of Microbiology, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea.ORCID https://orcid.org/0000-0003-1782-5351
Gyeongsang National University · KRGyeongsang National University Hospital · KRInternational Tuberculosis Research Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNontuberculous mycobacteria (NTM) are widely present in environments, such as soil and water, and have recently been recognized as important pathogenic bacteria. The incidence of NTM-related infections is steadily increasing. As the diagnosis and treatment of NTM infection should be distinguished from tuberculosis, and the treatment should be specific to the species of NTM acquired, accurate species identification is required.

methodsIn this study, two-step multiplex PCR (mPCR) and multigene sequence-based analysis were used to accurately identify NTM species in 320 clinical isolates from Gyeongsang National University Hospital (GNUH). In particular, major mycobacterial strains with a high isolation frequency as well as coinfections with multiple species were diagnosed through two-step mPCR. Multigene sequencing was performed to accurately identify other NTM species not detected by mPCR. Variable regions of the genes 16S rRNA,

resultsTwo-step mPCR identified 234 (73.1%) cases of

conclusionsThe results of this study suggest a strategy for rapid detection and accurate identification of species using two-step mPCR and multigene sequence-based analysis. To the best of our knowledge, this study is the first to report the identification of NTM species isolated from patients in Gyeongnam/Korea.

Identifiers

PMID33688383
PMCPMC7920741
OpenAlexW3130555436

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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.