Evidence map›Paper›PMID 42403638›Full record

ArticleiScience2026

From pre-tumor to tumor: Decoding the endoscopic-pathologic spectrum of neoplastic lesions in autoimmune gastritis.

Fengmei Zhong, Yingchao Zhang, Ziguang Liu, Haipeng Feng, Yanqin Ma, Zhihong Zhang, Qinwei Xu, Li Zhang

Abstract read
In one paragraph

Article in iScience, 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

8 authors.

Fengmei ZhongDepartment of Pathology, the Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong 528000, China.
Yingchao ZhangDepartment of Gastroenterology, Shengli Oilfield Central Hospital Affiliated to Binzhou Medical University, Dongying, Shandong 257000, China.
Ziguang LiuDepartment of Pathology, the Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong 528000, China.
Haipeng FengDepartment of Pathology, the Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong 528000, China.
Yanqin MaDepartment of Gastroenterology, the First People's Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China.
Zhihong ZhangDepartment of Pathology, the Eighth Affiliated Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong 528000, China.
Qinwei XuDepartment of Gastroenterology, Shanghai East Hospital (affiliated with Tongji University), Shanghai 200120, China.
Li ZhangDepartment of Pathology, Shanghai East Hospital (affiliated with Tongji University), Shanghai 200120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune gastritis (AIG) is a chronic atrophic gastritis predisposing to neuroendocrine tumors (NETs), dysplasia, and gastric cancer (GC). In a cohort of 1,551 patients with suspected AIG, we identified 46 with neoplastic lesions and 134 without such lesions and compared their clinicopathological and endoscopic features. NETs typically appeared as polypoid/submucosal tumors with dilated vessels or central depression; epithelial neoplasms showed variable morphologies, with irregular microvessels under narrow-band imaging (NBI). Extensive corpus atrophy and antral patchy redness were independent risk factors for AIG-associated neoplasia, whereas female sex was protective. These findings support a risk model integrating clinical, endoscopic, and pathological features for individualized surveillance.

Indexed as

DiagnosticsOncologyPathology

Identifiers

PMID42403638
PMCPMC13330512

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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.