Evidence map›Paper›PMID 39575108›Full record

ArticleInfection and drug resistance2024

Dan Ma, Yunhui Fang, ZiWei Wang, Mosang Yu, Xin Xin Zhou

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. 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. 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

5 authors.

Dan Ma *Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, People's Republic of China.
Yunhui Fang *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, People's Republic of China.ORCID 0000-0002-2861-2354
ZiWei WangDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, People's Republic of China.
Mosang YuDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, People's Republic of China.
Xin Xin ZhouDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Antibiotic resistance of Methods: In this retrospective study, patients who tested positive underwent gastroscopy, and Results: Among the 210 enrolled patients, 188 (89.5%) had successful cultures, and 183 (87.1%) underwent AST. The most common antibiotic resistance was to metronidazole and clarithromycin (89.6%), followed by levofloxacin (68.3%), and amoxicillin (14.2%). Furazolidone (3.0%) and tetracycline (0.5%) showed relatively low resistance rates. There were no statistically significant differences in the rates of resistance to MET, LEV, or AMX between naive and non-naive patients. However, CLA resistance rates in non-naive patients were significantly higher than those in naive patients. The overall success rate of AST-guided therapy was high and showed no significant difference between first-line and rescue therapy. Sex, age, prior therapy, and proton pump inhibitors (PPIs) or potassium-competitive acid blockers (P-CABs) use were not significantly associated with an increased risk of eradication failure in AST-guided therapy.

Indexed as

Antibiotic resistanceCultureEradication therapy.Helicobacter pylori

Identifiers

PMID39575108
PMCPMC11578802

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.