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ArticleJHEP reports : innovation in hepatology2024

Diagnostic and prognostic performance of the LiverRisk score in tertiary care.

Georg Semmler, Lorenz Balcar, Benedikt Simbrunner, Lukas Hartl, Mathias Jachs, Michael Schwarz, Benedikt Silvester Hofer, Laurenz Fritz, Anna Schedlbauer, Katharina Stopfer and 8 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. JHEP reports : innovation in hepatology · 2026
    Article
  2. MetALD: Diagnosis and Prognosis With Non-Invasive Tests.Alimentary pharmacology & therapeutics · 2025
    Article
  3. 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

18 authors.

Georg SemmlerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Lorenz BalcarDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Benedikt SimbrunnerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Lukas HartlDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Mathias JachsDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Michael SchwarzDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Benedikt Silvester HoferDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Laurenz FritzDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Anna SchedlbauerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Katharina StopferDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Daniela NeumayerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Jurij MaurerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Sophie GenslucknerDepartment of Medicine, Medical University of Vienna, Vienna, Austria.
Bernhard ScheinerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Elmar AignerDepartment of Medicine, Medical University of Vienna, Vienna, Austria.
Michael TraunerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Thomas ReibergerDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Mattias MandorferDivision of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: The LiverRisk score has been proposed as a blood-based tool to estimate liver stiffness measurement (LSM), thereby stratifying the risk of compensated advanced chronic liver disease (cACLD, LSM ≥10 kPa) and liver-related events in patients without known chronic liver disease (CLD). We aimed to evaluate its diagnostic/prognostic performance in tertiary care. Methods: Patients referred to two hepatology outpatient clinics (cohort I, n = 5,897; cohort II, n = 1,558) were retrospectively included. Calibration/agreement of the LiverRisk score with LSM was assessed, and diagnostic accuracy for cACLD was compared with that of fibrosis-4 (FIB-4)/aspartate aminotransferase-to-platelet ratio index (APRI). The prediction of hepatic decompensation and utility of proposed cut-offs were evaluated. Results: In cohort I/II, mean age was 48.3/51.8 years, 44.2%/44.7% were female, predominant etiologies were viral hepatitis (51.8%)/metabolic dysfunction-associated steatotic liver disease (63.7%), median LSM was 6.9 (IQR 5.1-10.9)/5.8 (IQR 4.5-8.8) kPa, and 1,690 (28.7%)/322 (20.7%) patients had cACLD.Despite a moderate correlation (Pearson's r = 0.325/0.422), the LiverRisk score systematically underestimated LSM (2.93/1.80 points/kPa lower), and range of agreement was wide, especially at higher values.The diagnostic accuracy of the LiverRisk score for cACLD (area under the receiver operator characteristics curve [AUROC] 0.757/0.790) was comparable to that of FIB-4 (AUROC 0.769/0.813) and APRI (AUROC 0.747/0.765). The proposed cut-off of 10 points yielded an accuracy of 74.2%/81.2%, high specificity (91.9%/93.4%), but low negative predictive value (76.6%/84.5%, Cohen's κ = 0.260/0.327).In cohort I, 208 (3.5%) patients developed hepatic decompensation (median follow-up 4.7 years). The LiverRisk score showed a reasonable accuracy for predicting hepatic decompensation within 1-5 years (AUROC 0.778-0.832). However, it was inferior to LSM (AUROC 0.847-0.901, Conclusions: The LiverRisk score did not improve the diagnosis of cACLD or prediction of hepatic decompensation in the tertiary care setting. Impact and implications: The LiverRisk score has been proposed as a non-invasive tool to estimate liver stiffness measurement and thus the risk of compensated advanced chronic liver disease and liver-related events. As automatic implementation into lab reports is being discussed, the question of its applicability outside of opportunistic screening in the general population arises. In two large cohorts of patients referred to hepatology outpatient clinics, the LiverRisk score did not accurately predict liver stiffness, did not improve cACLD identification, and had a lower predictive performance for hepatic decompensation as compared with FIB-4. Although it represents a major step forward for screening patients without known liver disease in primary care, our findings indicate that the LiverRisk score does not improve patient management outside the primary care setting, that is, in cohorts with a higher pre-test probability of cACLD.

Indexed as

cACLDChronic liver diseaseFIB-4Liver stiffness measurementLSM

Identifiers

PMID39444411
PMCPMC11497454

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