Evidence map›Paper›PMID 42275588›Full record

ArticleHepatology communications2026

Two-step care pathways for advanced MASLD in primary and hospital care: A multicenter study.

Stan Driessen, Koen C van Son, Tamara R Riemersma, Emily Stramigioli, Gerlinde L G Haverkamp, Maaike J Denters, Gabrielle Alblas, Eric T T L Tjwa, Nordin M J Hanssen, Sara-Joan Pinto-Sietsma and 14 more

Abstract readMulticenter Study
In one paragraph

Article in Hepatology communications, 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

24 authors.

Stan DriessenDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Koen C van SonDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Tamara R RiemersmaDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Emily StramigioliDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Gerlinde L G HaverkampDepartment of Internal Medicine, Zaans Medisch Centrum, Zaandam, The Netherlands.
Maaike J DentersDepartment of Gastroenterology and Hepatology, Zaans Medisch Centrum, Zaandam, The Netherlands.
Gabrielle AlblasDepartment of Gastroenterology and Hepatology, LUMC, Leiden University, Leiden, The Netherlands.
Eric T T L TjwaDepartment of Gastroenterology and Hepatology, Radboudumc, Radboud University, Nijmegen, The Netherlands.
Nordin M J HanssenDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Sara-Joan Pinto-SietsmaDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Yasaman ValiDepartment of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Henrike M HamerDepartment of Laboratory Medicine, Laboratory Specialized Diagnostics & Research, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Laurens A van KleefDepartment of Gastroenterology and Hepatology, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Diana J LeemingNordic Bioscience A/S, Biomarkers & Research, Herlev, Denmark.
Ida LønsmannNordic Bioscience A/S, Biomarkers & Research, Herlev, Denmark.
Morten A KarsdalNordic Bioscience A/S, Biomarkers & Research, Herlev, Denmark.
Manuel Castro CabezasDepartment of Internal Medicine, Franciscus Gasthuis and Vlietland, Rotterdam, The Netherlands.
R Bart TakkenbergDepartment of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Willem P BrouwerDepartment of Gastroenterology and Hepatology, Erasmus MC, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Henk J SchersDepartment of Primary and Community Care, Radboudumc, Radboud University, Nijmegen, The Netherlands.
Max NieuwdorpDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Joost P H DrenthDepartment of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Maarten E TushuizenDepartment of Gastroenterology and Hepatology, LUMC, Leiden University, Leiden, The Netherlands.
Adriaan G HolleboomDepartment of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) fibrosis may prevent liver-related morbidity and mortality. We investigated the effectiveness of multiple 2-step approaches for detecting at-risk advanced MASLD fibrosis, defined as a hierarchical clinical score comprising liver histology and VCTE depending on availability, in primary and hospital outpatient care.

methodsPatients at risk for MASLD were recruited from general practices and regional and tertiary internal medicine clinics, after excluding other liver diseases. Simultaneous measurement of non-invasive tests (NITs), including fibrosis-4 score (FIB4), metabolic dysfunction-associated fibrosis-5 score (MAF5), NAFLD fibrosis score (NFS), enhanced liver fibrosis (ELF) test, procollagen type III N-terminal propeptide (PRO-C3), procollagen type VI N-terminal propeptide (PRO-C6), and vibration-controlled transient elastography (VCTE), allowed testing of 2-step referral pathways. Referral patterns were compared with regular care between 2016 and 2024 using a predefined reference standard.

resultsAmong 595 participants, 9.4% were at-risk of advanced MASLD fibrosis. A care pathway consisting of FIB4 (≥1.30) followed by VCTE yielded the greatest improvement, increasing the correct referral rate 5.0-fold (95% CI: 2.4-10.1) compared with regular care. However, care pathways incorporating MAF5 (≥1.0) or NFS (≥-1.455) followed by VCTE demonstrated markedly higher sensitivity at comparable increases in detection (both >4.5-fold). Among other second-step NITs, PRO-C3 outperformed ELF, PRO-C6, and ADAPT, resulting in a 2.2-fold (95% CI: 1.1-4.4) increase in correct referrals when used after FIB4 (≥1.30).

conclusionTwo-step care pathways substantially improve the detection of at-risk advanced MASLD fibrosis across care settings. Pathways using FIB4, MAF5, or NFS followed by VCTE offer the best performance overall, while PRO-C3 is the most effective alternative blood-based second-step test.

Indexed as

Critical PathwaysLiver CirrhosisAgedBiomarkersEarly DiagnosisElasticity Imaging TechniquesFemaleHumansLiverMaleMiddle AgedPrimary Health CareReferral and ConsultationBiomarkersbiomarkersclinical pathwaysearly diagnosiselastographymetabolic dysfunction–associated steatohepatitis

Identifiers

PMID42275588
PMCPMC13263074

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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.