Evidence map›Paper›PMID 42687691›Full record

ArticleUltrasonography (Seoul, Korea)2026

Development of a noninvasive ultrasound-based model for predicting high-risk esophageal varices in hepatitis-related cirrhosis.

Xue-Dong Teng, Xian-Feng Pan, Hai-Zheng Wu, Jian-Shan Geng

Abstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Xue-Dong TengDepartment of Ultrasound Medicine, Yantai Qishan Hospital, Yantai, China.
Xian-Feng PanDepartment of Ultrasound Medicine, Yantai Qishan Hospital, Yantai, China.
Hai-Zheng WuDepartment of Ultrasound Medicine, Yantai Qishan Hospital, Yantai, China.
Jian-Shan GengDepartment of Ultrasound Medicine, Yantai Laiyang Central Hospital, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh-risk esophageal varices (HREVs) are a serious complication of cirrhosis, and reliable noninvasive tools are needed to improve endoscopic triage. This study aimed to develop and validate an ultrasound-based model for predicting HREVs in patients with hepatitis-related cirrhosis.

methodsThis retrospective study included 293 patients who underwent endoscopy and noninvasive assessment between January 2019 and January 2023. Patients were assigned to training (n=210) and validation cohorts (n=83). Predictors were selected using univariable analysis, multivariable logistic regression, and Akaike information criterion-based backward selection. Discrimination, calibration, and clinical utility were evaluated using receiver operating characteristic analysis, calibration curves, decision curve analysis, and clinical impact curves.

resultsPortal vein velocity (PVV) and spleen volume (SV) were retained in the final model. The model incorporated PVV as a linear term and SV as a restricted cubic spline term. The area under the receiver operating characteristic curve was 0.951 in the training cohort and 0.956 in the validation cohort. At a cutoff of 0.30, the model showed high diagnostic performance and outperformed the single predictors and the Baveno VI criteria. Calibration and decision curve analyses indicated good agreement and favorable clinical utility.

conclusionThis model provides a simple, noninvasive approach to individualized prediction of HREVs in patients with hepatitis-related cirrhosis.

Indexed as

Hepatitis-related cirrhosisHigh-risk esophageal varicesPortal vein velocitySpleen volumeUltrasound

Identifiers

PMID42687691
PMCPMC13620271

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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.