Evidence map›Paper›PMID 40599185›Full record

ReviewWorld journal of gastroenterology2025

Application of artificial intelligence in portal hypertension and esophagogastric varices.

Qing-Chen Wang, Jian Jiao, Chun-Qing Zhang

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. [Novel advances following the integration of Baveno VII consensus definitions for the non-invasive testing of portal hypertension].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    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

3 authors.

Qing-Chen WangDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China.
Jian JiaoDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China.
Chun-Qing ZhangDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China. zhangchunqing_sdu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophagogastric variceal bleeding is a common and severe complication of cirrhotic portal hypertension. Hepatic venous pressure gradient measurement and esophagogastroduodenoscopy are the diagnostic gold standards for portal hypertension and esophagogastric variceal bleeding, respectively. With advancements in artificial intelligence in medicine, non-invasive diagnostic methods are increasingly replacing traditional invasive procedures, permitting more rational and personalized patient care. This review summarizes the formation and diagnosis of portal hypertension, as well as the primary prophylaxis, secondary prophylaxis, and management of acute esophagogastric variceal bleeding. This study also highlights the latest progress in artificial intelligence in the diagnosis and treatment of portal hypertension and esophagogastric varices.

Indexed as

Artificial IntelligenceEsophageal and Gastric VaricesGastrointestinal HemorrhageHypertension, PortalLiver CirrhosisEndoscopy, Digestive SystemHumansArtificial intelligenceCirrhosisDiagnosisEsophagogastric varicealManagementPortal hypertension

Identifiers

PMID40599185
PMCPMC12207538

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.