Evidence map›Paper›PMID 40387379›Full record

ArticleMicrobiology spectrum2025

Antimicrobial resistance of rapidly growing mycobacteria isolated from companion animals in Taiwan.

Shu-Wen Chen, Ter-Hsin Chen, Wei-Hsiang Huang, Chia-Chun Hou, Chen-Jou Lin, Yi-Fu Chang, Hsin-Yi Wu, Ying-Chen Wu

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Whole genome sequence ofMicrobiology resource announcements · 2026
    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.

Shu-Wen ChenGraduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan.ORCID 0000-0002-0783-445X
Ter-Hsin ChenGraduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan.
Wei-Hsiang HuangGraduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-0098-0278
Chia-Chun HouPrestige Veterinary Clinic, Hsinchu, Taiwan.
Chen-Jou LinDepartment of Post-Baccalaureate Veterinary Medicine, College of Medical and Health Science, Asia University, Taichung, Taiwan.
Yi-Fu ChangDepartment of Veterinary Medicine, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan.
Hsin-Yi WuSincere Veterinary Clinic, New Taipei, Taiwan.
Ying-Chen WuGraduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan.ORCID 0000-0002-4945-1721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapidly growing mycobacteria (RGM) are omnipresent nontuberculous mycobacteria that cause opportunistic infections in animals and humans. Without knowledge of the epidemiology and antimicrobial susceptibility of RGM in companion animals in Taiwan, diagnostic and therapeutic regimens are limited. To address this, we collected 44 RGM isolates from 25 dogs and 19 cats from 2018 to 2021 and investigated their antimicrobial susceptibility and macrolide-resistance genes. The most prevalent RGM were

Indexed as

Anti-Bacterial AgentsCat DiseasesDog DiseasesDrug Resistance, BacterialMycobacterium Infections, NontuberculousNontuberculous MycobacteriaPetsAnimalsCatsDogsDrug Resistance, Multiple, BacterialMacrolidesMicrobial Sensitivity TestsTaiwanAnti-Bacterial AgentsMacrolidesanimalantibiotic resistantcatdognontuberculous mycobacteriarapidly growing mycobacteria

Identifiers

PMID40387379
PMCPMC12211053

What OpenQuestion holds

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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.