Evidence map›Paper›PMID 42317341›Full record

ArticleFrontiers in immunology2026

Endoscopic spectrum of autoimmune gastritis across disease stages: a focus on Barrett's esophagus and ME-NBI features.

Zhongmian Zhang, Jingna Tao, Liju Zhang, Lan Wang, Jiaqi Wang, Jinglin Zhang, Rui Han, Zhihong Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 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.

Zhongmian Zhang *Digestive Disease Center, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Jingna Tao *Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Liju Zhang *Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Lan WangDepartment of Rehabilitation, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Jiaqi WangDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jinglin ZhangDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Rui HanDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhihong LiDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Autoimmune gastritis (AIG) is an immune-mediated disorder characterized by corpus-predominant atrophy. While serological markers are useful for screening, they inadequately reflect the dynamic progression of mucosal atrophy. Endoscopy remains the diagnostic cornerstone, yet a systematic analysis of its features across AIG stages is lacking. This study aimed to comprehensively analyze the clinical and endoscopic characteristics of AIG and evaluate the potential of endoscopic manifestations in defining disease stages, with particular focus on the intriguingly high prevalence of Barrett's esophagus (BE). Methods: In this retrospective study, 52 Chinese patients fulfilling both serological (positivity for anti-parietal cell and/or anti-intrinsic factor antibodies) and endoscopic/histopathological criteria for AIG were enrolled. Patients were classified into early-stage (remnant oxyntic mucosa, ROM >10%) or late-stage (ROM ≤10%) AIG. White light endoscopy (WLE) and magnifying endoscopy with narrow-band imaging (ME-NBI) were used to evaluate a comprehensive set of endoscopic features. Results: The cohort had a mean age of 56.68 years and a female predominance (61.5%). Hypergastrinemia was present in 82.5% of patients, with significantly decreased pepsinogen I levels and pepsinogen I (PG I)/pepsinogen II (PG II) ratio (PGR). Late-stage AIG exhibited significantly lower levels of PG I and PG II compared to early-stage (P = 0.05 and P = 0.04, respectively). Endoscopically, sticky adherent dense mucus (51.9%) and swelling of areae gastricae (55.8%) were common WLE findings. ME-NBI revealed a high frequency of pseudopyloric metaplasia (75%). Notably, BE was detected in 73.08% of patients, with short-segment BE (SSBE) being more frequent in early-stage (60.9% vs. 31.0%, P<0.05) and long-segment BE (LSBE) in late-stage disease (37.9% vs. 17.4%). Features suggesting advanced atrophy, such as cast-off skin appearance (CSA) and white globe appearance (WGA), were more prevalent in late-stage AIG (P = 0.03 for both). However, in multivariate analysis, no single endoscopic feature emerged as an independent predictor of AIG stage. Conclusions: The endoscopic landscape of AIG is diverse and evolves with disease progression. The high prevalence of BE, particularly its association with disease stage, challenges the conventional acid-reflux pathogenesis and suggests a role for duodenogastric reflux in the context of achlorhydria. While no single endoscopic feature can definitively stage AIG, a multimodal assessment combining WLE and ME-NBI provides valuable insights for diagnosis and stratification.

Indexed as

Autoimmune DiseasesBarrett EsophagusGastritisNarrow Band ImagingAdultAgedAutoantibodiesBiomarkersDisease ProgressionFemaleGastric MucosaHumansMaleMiddle AgedRetrospective StudiesAutoantibodiesBiomarkersautoimmune gastritisBarrett esophagusendoscopy appearancemagnifying endoscopy with narrow-band imagingremnant oxyntic mucosa

Identifiers

PMID42317341
PMCPMC13272405

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.