Evidence map›Paper›PMID 41964405›Full record

ArticleBioMed research international2026

Predicting Clinically Significant Portal Hypertension in MASLD Using Routine Ultrasound and Clinical Data: A Retrospective Cohort Study.

Nebyu Yonas Shanka, Chavdar S Pavlov, Taisiia A Turankova, Temesgen Tesfaye Ajabo, Leul Mekonnen Nigatu, Biniyam Esayas Dana

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Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nebyu Yonas ShankaDepartment of Therapy, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia, mma.ru.ORCID https://orcid.org/0009-0007-6870-1822
Chavdar S PavlovDepartment of Therapy, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia, mma.ru.ORCID https://orcid.org/0000-0001-5031-9798
Taisiia A TurankovaDepartment of Therapy, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia, mma.ru.ORCID https://orcid.org/0000-0001-8441-7396
Temesgen Tesfaye AjaboDepartment of Internal Medicine, Wolaita Sodo University Comprehensive Specialised Hospital, Wolaita Sodo, Ethiopia.ORCID https://orcid.org/0009-0001-0964-5265
Leul Mekonnen NigatuDepartment of Public Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia, mma.ru.ORCID https://orcid.org/0009-0006-2300-0689
Biniyam Esayas DanaDepartment of Internal Medicine, Wolaita Sodo University Comprehensive Specialised Hospital, Wolaita Sodo, Ethiopia.ORCID https://orcid.org/0009-0004-4368-4315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinically significant portal hypertension (CSPH) is a major determinant of adverse outcomes in metabolic dysfunction-associated steatotic liver disease (MASLD), but reliable noninvasive identification remains challenging. We evaluated whether routinely available ultrasound and clinical variables could help identify CSPH in adults with MASLD.

methodsWe performed a retrospective cohort study of adults with MASLD who underwent HVPG measurement at a tertiary referral centre. Routinely available demographic, laboratory, routine ultrasound and liver stiffness variables were evaluated using logistic regression and internally validated machine learning models to identify CSPH, defined as HVPG ≥ 10 mmHg.

resultsAmong 218 adults with MASLD, 44 (20.2%) had CSPH. Compared with patients without CSPH, those with CSPH showed less favourable noninvasive profiles, particularly in ultrasound- and stiffness-based measures (liver stiffness: 9.2 vs. 7.8 kPa; spleen length: 119.3 vs. 115.0 mm), whereas most routine biochemical markers were broadly similar between groups. Overall predictive performance was modest across all evaluated models; random forest achieved the highest discrimination (AUC = 0.67), followed by SVM (AUC = 0.65) and logistic regression (AUC = 0.604). In multivariable analysis, portal vein calibre (OR = 1.60) and liver stiffness (OR = 1.134) showed the strongest independent associations with CSPH, although overall predictive accuracy remained limited.

conclusionsIn adults with MASLD, routinely available ultrasound and clinical variables showed only modest ability to identify CSPH. Although some noninvasive markers were independently associated with CSPH, model performance was insufficient for stand-alone clinical triage. These findings support further refinement of MASLD-specific noninvasive prediction strategies rather than immediate clinical implementation.

Indexed as

Fatty LiverHypertension, PortalAdultAgedFemaleHumansLiverLogistic ModelsMachine LearningMaleMiddle AgedPortal VeinRetrospective StudiesUltrasonographyabdominal ultrasoundclinically significant portal hypertension (CSPH)hepatic venous pressure gradient (HVPG)liver stiffnessmachine learningmetabolic dysfunction–associated steatotic liver disease (MASLD)noninvasive risk stratificationplatelet countportal vein diameterrisk prediction

Identifiers

PMID41964405
PMCPMC13069468

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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.