Evidence map›Paper›PMID 37735687›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

Clinical characteristics and drug susceptibility profiles of Mycobacterium abscessus complex infection at a medical school in Thailand.

Songkiat Sukmongkolchai, Suthidee Petsong, Nont Oudomying, Ajala Prommi, Sunchai Payungporn, Warat Usawakidwiree, Kanphai Wongjarit, Gompol Suwanpimolkul, Kiatichai Faksri, Chusana Suankratay and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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  3. Macrolide resistance inJAC-antimicrobial resistance · 2025
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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

11 authors at 2 institutions in 1 country.

Songkiat Sukmongkolchai *Medical Microbiology, Interdisciplinary and International Program, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Suthidee Petsong *Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Nont OudomyingDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Ajala PrommiProgram in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Sunchai PayungpornCenter of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Warat UsawakidwireeDepartment of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kanphai WongjaritDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Gompol SuwanpimolkulDivision of Infectious Diseases, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kiatichai FaksriDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Chusana SuankratayDivision of Infectious Diseases, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Suwatchareeporn RotcheewaphanDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. suwatchareepon.r@gmail.com.
Chulalongkorn University · THKhon Kaen University · TH

Funding

Chulalongkorn University CU_GR_63_125_30_32
6 · The paper itself

Abstract

objectivesThis study investigated the differences in epidemiological and clinical data, and antimicrobial susceptibilities among different subspecies of Mycobacterium abscessus complex (MABSC) clinical isolates at a medical school in Thailand.

methodsA total of 143 MABSC clinical isolates recovered from 74 patients were genotypically analyzed for erm(41), rrl, and rrs mutations, and antimicrobial susceptibilities were determined using a broth microdilution method. Patient characteristics and clinical outcomes were reviewed from the medical records.

resultsSeventy-four patients were infected with 28/74 (37.8%) M. abscessus subspecies abscessus (MAB), 43/74 (58.1%) M. abscessus subsp. massiliense (MMA), and 3/74 (4.1%) M. abscessus subsp. bolletii (MBO). The clinical findings and outcomes were generally indistinguishable between the three subspecies. All three subspecies of MABSC clinical isolates exhibited high resistance rates to ciprofloxacin, doxycycline, moxifloxacin, TMP/SMX, and tobramycin. MAB had the highest resistance rates to clarithromycin (27.8%, 20/72) and amikacin (6.9%, 5/72) compared to MBO and MMA, with p < 0.001 and p = 0.004, respectively. In addition, the rough morphotype was significantly associated with resistance to amikacin (8.9%, 5/56), clarithromycin (26.8%, 15/56), and imipenem (76.8%, 43/56) (p < 0.001), whereas the smooth morphotype was resistant to linezolid (57.1%, 48/84) (p = 0.002). In addition, T28 of erm(41), rrl (A2058C/G and A2059C/G), and rrs (A1408G) mutations were detected in 87.4% (125/143), 16.1% (23/143), and 9.1% (13/143) of MABSC isolates, respectively.

conclusionsThree MABSC subspecies caused a variety of infections in patients with different underlying comorbidities. The drug susceptibility patterns of the recent circulating MABSC strains in Thailand were different among the three MABSC subspecies and two morphotypes.

Indexed as

Anti-Infective AgentsMycobacterium abscessusMycobacterium Infections, NontuberculousAmikacinClarithromycinHumansSchools, MedicalThailandAmikacinAnti-Infective AgentsClarithromycinClinical characteristicsClinical outcomesDrug resistanceDrug susceptibility testingM. abscessus subsp. abscessusM. abscessus subsp. bolletiiM. abscessus subsp. massilienseMycobacterium abscessus complex

Identifiers

PMID37735687
PMCPMC10515245
OpenAlexW4386916586

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.