Evidence map›Paper›PMID 39973909›Full record

ArticleJAC-antimicrobial resistance2025

A comprehensive analysis of antimicrobial resistance of clinical

Weichen Gong, Masayuki Ono, Masaya Yamaguchi, Daisuke Motooka, Yujiro Hirose, Kotaro Higashi, Momoko Kobayashi, Eri Ikeda, Tomoko Sumitomo, Rumi Okuno and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

21 authors.

Weichen GongDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Masayuki OnoDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Masaya YamaguchiDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.ORCID https://orcid.org/0000-0001-6218-7112
Daisuke MotookaBioinformatics Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Yujiro HiroseDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Kotaro HigashiDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Momoko KobayashiDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Eri IkedaDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Tomoko SumitomoDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.
Rumi OkunoDepartment of Microbiology, Tokyo Metropolitan Institute of Public Health, Tokyo, Japan.
Takahiro YamaguchiDepartment of Bacteriology, Osaka Institute for Public Health, Osaka, Japan.ORCID https://orcid.org/0000-0001-9296-0348
Ryuji KawaharaDepartment of Bacteriology, Osaka Institute for Public Health, Osaka, Japan.
Hitoshi OtsukaDepartment of Public Health Sciences, Yamaguchi Prefectural Institute for Public Health and Environment, Yamaguchi, Japan.
Noriko NakanishiDepartment of Infectious Diseases, Kobe Institute of Health, Hyogo, Japan.
Yu KazawaDepartment of Microbiology, Fukushima Prefectural Institute for Public Health, Fukushima, Japan.
Chikara NakagawaDivision of Microbiology, Kyoto City Institute of Health and Environmental Sciences, Kyoto, Japan.
Ryo YamaguchiSapporo Public Health Office, Hokkaido, Japan.
Hiroo SakaiNiigata City Institute of Public Health and the Environment, Niigata, Japan.
Yuko MatsumotoMicrobiological Testing and Research Division, Yokohama City Institute of Public Health, Kanagawa, Yokohama, Japan.
Tadayoshi IkebeDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Shigetada KawabataDepartment of Microbiology, Osaka University Graduate School of Dentistry, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Methods: A total of 368 previously identified Results: We identified 47 resistant strains, of which 91.49% (43/47) were resistant to AZM and/or clindamycin. A strong correlation was observed between non-invasive phenotypes and AMR. Whole-genome analysis indicated the wide distribution of three AMR-related genes, Conclusions: The high prevalence of

Identifiers

PMID39973909
PMCPMC11836879

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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.