Evidence map›Paper›PMID 30881065›Full record

ArticleInfection and drug resistance2019

Increase in antibiotic resistant

Chihiro Kageyama, Mayu Sato, Hiroyuki Sakae, Yuka Obayashi, Yoshiro Kawahara, Takehiko Mima, Osamu Matsushita, Kenji Yokota, Motowo Mizuno, Hiroyuki Okada

Abstract read
In one paragraph

Article in Infection and drug resistance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Third-Line and Later Susceptibility-GuidedJournal of clinical medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Overview ofGut and liver · 2021
    Review
  10. Article
  11. Metronidazole-resistantNew microbes and new infections · 2020
    Article
  12. Trends inMicrobial genomics · 2020
    Review
  13. Article
  14. Genotype profiles ofTherapeutic advances in gastroenterology · 2020
    Article
  15. Phenotypic and Genotypic Antibiotic Resistance Patterns inFrontiers in cellular and infection microbiology · 2020
    Article
  16. 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

10 authors.

Chihiro KageyamaGraduate School of Health Science, Medical Technology, Okayama University, Okayama 700-8558, Japan, yokochan@md.okayama-u.ac.jp.
Mayu SatoGraduate School of Health Science, Medical Technology, Okayama University, Okayama 700-8558, Japan, yokochan@md.okayama-u.ac.jp.
Hiroyuki SakaeGastroenterology and Hepatology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.
Yuka ObayashiGastroenterology and Hepatology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.
Yoshiro KawaharaGastroenterology and Hepatology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.
Takehiko MimaBacteriology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.
Osamu MatsushitaBacteriology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.
Kenji YokotaGraduate School of Health Science, Medical Technology, Okayama University, Okayama 700-8558, Japan, yokochan@md.okayama-u.ac.jp.
Motowo MizunoDepartment of Gastroenterology and Hepatology, Kurashiki Central Hospital, 710-8602, Japan.
Hiroyuki OkadaGastroenterology and Hepatology, Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEradication effectively prevents MATERIALS AND

methods

resultsRates of amoxicillin, clarithromycin, and metronidazole resistance were 13%, 48%, and 49%, respectively. Genetic analysis indicated that the A2143G point mutation in 23S rDNA is closely associated with the MIC of clarithromycin. The MIC in amoxicillin-resistant strains increased with an increase in the number of PBP1A amino acids mutations.

conclusionGenetic analysis for resistant strains is not clinically effective in cases of amoxicillin resistance. Numerous bacteria with already high antibiotic resistance rates have been isolated in large hospitals such as a University Hospital. For effective eradication therapy, MIC measurement should be considered via several methods.

Indexed as

amoxicillinclarithromycingenotypeHelicobacter pyloriresistanceUniversity Hospital

Identifiers

PMID30881065
PMCPMC6419596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.