Evidence map›Paper›PMID 41939269›Full record

ArticleJAC-antimicrobial resistance2026

Plasmid-mediated macrolide resistance among rapidly growing mycobacteria in Japan.

Takeshi Komine, Panuwat Sathianpitayakul, Nobuya Sakagami, Mitsunori Yoshida, Masato Suzuki, Yoshihiko Hoshino, Panan Ratthawongjirakul, Manabu Ato, Hanako Fukano

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Molecular Mechanisms Underlying Antimicrobial Resistance in Mycobacteria.International journal of molecular sciences · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Takeshi KomineLeprosy Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.
Panuwat SathianpitayakulMicrobiology Laboratory, Clinical Pathology Department, Ramathibodi Hospital, Bangkok, Thailand.
Nobuya SakagamiMicrobiology Testing Department, Special Testing Division, SRL Inc., 50 Fuchigami, Akiruno, Tokyo, Japan.
Mitsunori YoshidaLeprosy Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.
Masato SuzukiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.
Yoshihiko HoshinoLeprosy Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.
Panan RatthawongjirakulCenter of Excellence for Innovative Diagnosis of Antimicrobial Resistance, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Manabu AtoLeprosy Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.
Hanako FukanoLeprosy Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Higashimurayama, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Plasmids carrying the 23S rRNA methylase gene erm(55), which confers inducible macrolide resistance in rapidly growing mycobacteria (RGM), have been reported in the United States. The aim of this study was to investigate the prevalence and genomic characteristics of erm(55)-carrying plasmids in clinically isolated RGM strains in Japan. Methods: In total, 607 RGM clinical isolates, representing 32 species or complexes, collected between 2019 and 2023 in Japan were examined. Detection of Results: Five strains belonging to Conclusions:

Identifiers

PMID41939269
PMCPMC13044508

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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.