Evidence map›Paper›PMID 42107110›Full record

ArticleAnnals of medicine2026

Endoscopic grading of gastric intestinal metaplasia and microvascular pattern for assessing gastric cancer risk: a prospective study.

Xueling Zhang, Jinxin Shi, Weijia Wang, Haotian Chen, Qian Li, Yixuan Wu, Yue Wu, Guangzhi Shi, Qinsheng Zhang, Wei Wen and 1 more

Abstract read
In one paragraph

Article in Annals of 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

11 authors.

Xueling ZhangInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jinxin ShiInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Weijia WangInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Haotian ChenInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qian LiInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yixuan WuInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yue WuInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guangzhi ShiDepartment of Intensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qinsheng ZhangDepartment of Diagnosis and Treatment Center for Digestive Diseases of Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou, Henan, China.
Wei WenDepartment of Endoscopy Center, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Peilin CuiInternational Medical Services Department, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe endoscopic grading of gastric intestinal metaplasia (EGGIM) has not been comprehensively validated. Microvascular (MV) pattern abnormalities are critical for diagnosing gastric neoplastic transformation. The present study aims to validate the diagnostic accuracy of EGGIM for identifying high-risk GIM patients and to develop a modified EGGIM model incorporating microvascular pattern, evaluating its diagnostic performance for risk stratification of GC development in GIM patients.

methodsAll patients underwent EGGIM scoring and microvascular pattern evaluation. Targeted or random biopsies were performed at the antrum, incisura, and corpus, followed by operative link on gastric intestinal metaplasia assessment (OLGIM). The sensitivity, specificity, positive likelihood ratios (PLR), and positive predictive values (PPV) of both EGGIM and the modified EGGIM model for assessing GC risk in GIM patients were validated.

resultsA total of 144 patients were enrolled. The area under curve (AUC) of the receiver operating characteristic of EGGIM for diagnosing OLGIM III-IV was 0.885 (95% CI 0.837-0.943). At the cutoff value ≥4, the sensitivity, specificity, PLR, and PPV were 90.90%, 73%, 3.36, and 50%, respectively. Altered microvascular pattern was identified as a risk factor for high-risk GC development in GIM (

conclusionsMicrovascular pattern serves as a significant independent predictor for OLGIM III-IV. The modified EGGIM demonstrated good diagnostic performance for OLGIM III-IV, suggesting its potential as a non-invasive endoscopic tool for assessing the risk stratification of GC development.

Indexed as

MicrovesselsStomachStomach NeoplasmsAdultAgedArea Under CurveBiopsyFemaleGastroscopyHumansMaleMetaplasiaMiddle AgedProspective StudiesRisk AssessmentRisk FactorsEGGIMgastric cancergastric intestinal metaplasiaMicrovascular patternOLGIM

Identifiers

PMID42107110
PMCPMC13159589

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.