Evidence map›Paper›PMID 38715232›Full record

ArticleThe Korean journal of internal medicine2024

Predicting Helicobacter pylori infection from endoscopic features.

Jun-Young Seo, Ji Yong Ahn, Seonok Kim, Hee Kyong Na, Jeong Hoon Lee, Kee Wook Jung, Do Hoon Kim, Kee Don Choi, Ho June Song, Gin Hyug Lee and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in The Korean journal of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Rapid diagnosis ofFrontiers in public health · 2026
    Article
  2. Update on the pathogenesis and clinical management ofWorld journal of gastrointestinal pathophysiology · 2025
    Review
  3. Article
  4. Review
  5. 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

11 authors.

Jun-Young SeoDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ji Yong AhnDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seonok KimDepartment of Clinical Epidemiology and Biostatics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hee Kyong NaDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeong Hoon LeeDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kee Wook JungDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Do Hoon KimDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kee Don ChoiDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ho June SongDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Gin Hyug LeeDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hwoon-Yong JungDepartment of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHelicobacter pylori infection, prevalent in more than half of the global population, is associated with various gastrointestinal diseases, including peptic ulcers and gastric cancer. The effectiveness of early diagnosis and treatment in preventing gastric cancer highlights the need for improved diagnostic methods. This study aimed to develop a simple scoring system based on endoscopic findings to predict H. pylori infection.

methodsA retrospective analysis was conducted on 1,007 patients who underwent upper gastrointestinal endoscopy at Asan Medical Center from January 2019 to December 2021. Exclusion criteria included prior H. pylori treatment, gastric surgery, or gastric malignancies. Diagnostic techniques included rapid urease and 13C-urea breath tests, H. pylori culture, and assessment of endoscopic features following the Kyoto gastritis classification. A new scoring system based on endoscopic findings including regular arrangement of collecting venules (RAC), nodularity, and diffuse or spotty redness was developed for predicting H. pylori infection, utilizing logistic regression analysis in the development set.

resultsThe scoring system demonstrated high predictive accuracy for H. pylori infection in the validation set. Scores of 2 and 3 were associated with 96% and 99% infection risk, respectively. Additionally, there was a higher prevalence of diffuse redness and sticky mucus in cases where the initial H. pylori eradication treatment failed.

conclusionOur scoring system showed potential for improving diagnostic accuracy in H. pylori infection. H. pylori testing should be considered upon spotty redness, diffuse redness, nodularity, and RAC absence on endoscopic findings as determined by the predictive scoring system.

Indexed as

Helicobacter InfectionsHelicobacter pyloriPredictive Value of TestsAdultAgedBreath TestsDecision Support TechniquesEndoscopy, GastrointestinalFemaleGastritisHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesRisk AssessmentEndoscopyGastritisHelicobacter pylori

Identifiers

PMID38715232
PMCPMC11076888

What OpenQuestion holds

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LicenceCC BY-NC
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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.