Evidence map›Paper›PMID 42175495›Full record

Observational studyMedicine2026

Propensity score matching analysis of the association between Helicobacter pylori infection and colorectal polyps: A case-control study.

Yating Gong, Zhen Fan

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yating GongDepartment of Gastroenterology, The First People's Hosptial of Fuyang, Hangzhou, Zhejiang, China.ORCID 0009-0001-3452-0739
Zhen FanDepartment of Gastroenterology, Hangzhou First People's Hospital, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between Helicobacter pylori (H. pylori) infection and colorectal polyps remains controversial. This study was a retrospective observational study. A total of 1106 patients who underwent gastrointestinal endoscopy at the First People's Hospital of Fuyang from January 2021 to May 2023 were enrolled. Based on colonoscopic findings, patients were stratified into a colorectal polyp group (n = 401) and a control group (n = 705). Propensity score matching (PSM) was applied in a 1:1 ratio to balance baseline confounders. Conditional logistic regression evaluated the association between H. pylori infection and colorectal polyps. Before PSM, significant differences were observed in body mass index, age, male sex, alcohol consumption history, smoking history, diabetes mellitus, and hypertension between the colorectal polyp group and control group (P < .05). After PSM, 347 matched pairs were generated. Using the matched sample, conditional logistic regression analysis identified H. pylori infection as a risk factor for colorectal polyps (odds ratio = 1.65, 95% confidence interval [CI]: 1.17-2.33; P = .004). Receiver operating characteristic curve analysis yielded an area under the curve of 0.549 (95% CI: 0.506-0.592; P = .025) for H. pylori infection in predicting polyps. The application of PSM further validates the association between H. pylori infection and colorectal polyps. H. pylori infection alone demonstrates limited predictive utility for colorectal polyp risk.

Indexed as

Colonic PolypsHelicobacter InfectionsHelicobacter pyloriAdultAgedCase-Control StudiesColonoscopyFemaleHumansLogistic ModelsMaleMiddle AgedPropensity ScoreRetrospective StudiesRisk FactorsROC Curveassociationcolorectal polypspropensity score matching

Identifiers

PMID42175495
PMCPMC13200911

What OpenQuestion holds

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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.