Evidence map›Paper›PMID 37694993›Full record

SynthesisAlimentary pharmacology & therapeutics2023

MEFIB-Index and MAST-Score in the assessment of hepatic decompensation in metabolic dysfunction-associated steatosis liver disease-Individual participant data meta-analyses.

Nabil Noureddin, Veeral Ajmera, Jaclyn Bergstrom, Richele Bettencourt, Daniel Q Huang, Harris Siddiqi, Abdul M Majzoub, Tarek Nayfeh, Nobuharu Tamaki, Namiki Izumi and 6 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Alimentary pharmacology & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. MetALD: New Perspectives on an Old Overlooked Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. 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

16 authors at 6 institutions in 4 countries.

Nabil NoureddinMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.
Veeral AjmeraMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0001-5626-0942
Jaclyn BergstromMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.
Richele BettencourtMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.
Daniel Q HuangMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0002-5165-5061
Harris SiddiqiMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.
Abdul M MajzoubEvidence-Based Practice Center, Mayo Clinic, Rochester, Minnesota, USA.
Tarek NayfehEvidence-Based Practice Center, Mayo Clinic, Rochester, Minnesota, USA.
Nobuharu TamakiMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0003-4634-6616
Namiki IzumiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital Tokyo, Musashino, Japan.
Atsushi NakajimaDepartment of Gastroenterology and Hepatology, Yokohama City University, Yokohama, Japan.ORCID 0000-0002-6263-1436
Ramzan IdilmanAnkara University School of Medicine, Department of Gastroenterology, Ankara, Turkey.
Mesut GumussoyAnkara University School of Medicine, Department of Gastroenterology, Ankara, Turkey.
Digdem Kuru OzAnkara University School of Medicine, Department of Radiology, Ankara, Turkey.
Ayse ErdenAnkara University School of Medicine, Department of Radiology, Ankara, Turkey.
Rohit LoombaMASLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA.ORCID 0000-0002-4845-9991
University of California San Diego · USAnkara University · TRMayo Clinic · USMusashino Red Cross Hospital · JPNational University of Singapore · SGYokohama City University · JP

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
Tissue-specific roles of FXR in CVD and NASHP01HL147835 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2024
$12.2M
San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Bernd G. Schnabl · 2019 to 2026
$10.8M
HIV MASLD Clinical Research Network (HCRN)R01DK121378 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI NAGA P CHALASANI, ROHIT LOOMBA · 2020 to 2026
$8.7M
Novel IL-23 inhibitor for the treatment of alcohol associated liver diseaseU01AA029019 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KISSELEVA, TATIANA, LOOMBA, ROHIT · 2020 to 2024
$3.7M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
San Diego Cirrhosis Clinical Research NetworkU01DK130190 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2021 to 2026
$2.3M
Non-invasive screening of diabetics for advanced fibrosis due to NAFLDR01DK124318 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2020 to 2022
$1.7M
A Novel Multimodal Approach to Characterize NAFLD Severity and PrognosisK23DK119460 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AJMERA, VEERAL HARESH · 2019 to 2023
$1.1M
NCATS NIH HHS 5UL1TR001442NCATS NIH HHS UL1 TR001442NHLBI NIH HHS P01 HL147835NHLBI NIH HHS P01HL147835NIAAA NIH HHS U01 AA029019NIDDK NIH HHS K23 DK119460NIDDK NIH HHS K23DK119460NIDDK NIH HHS P30 DK120515NIDDK NIH HHS P30DK120515NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R01DK106419NIDDK NIH HHS R01 DK121378NIDDK NIH HHS R01DK121378NIDDK NIH HHS R01 DK124318NIDDK NIH HHS R01DK124318NIDDK NIH HHS U01 DK061734NIDDK NIH HHS U01DK061734NIDDK NIH HHS U01 DK130190NIDDK NIH HHS U01DK130190
6 · The paper itself

Abstract

backgroundThere are limited data regarding the longitudinal association between MEFIB-Index (MRE combined with FIB-4) versus MAST-Score (MRI-aspartate aminotransferase) and hepatic decompensation.

aimTo examine the longitudinal association between MEFIB-Index versus MAST-Score in predicting hepatic decompensation in patients with metabolic dysfunction-associated steatotic liver disease (MASLD).

methodsThis was a longitudinal, retrospective analysis of subjects from United States, Japan, and Turkey who underwent a baseline MRE and MRI-PDFF and were followed for hepatic decompensation. Cox-proportional hazard analyses were used to assess the association between MEFIB-Index versus MAST-Score with a composite primary outcome (hepatic decompensation) defined as ascites, hepatic encephalopathy, and varices needing treatment.

resultsThis meta-analysis of individual participants (IPDMA) included 454 patients (58% women) with a mean (±SD) age of 56.0 (±13.5) years. The MEFIB-Index (MRE ≥3.3 kPa + FIB 4 ≥1.6) and MAST-Score (>0.242) were positive for 34% and 9% of the sample, respectively. At baseline, 23 patients met criteria for hepatic decompensation. Among 297 patients with available longitudinal data with a median (IQR) of 4.2 (5.0) years of follow-up, 25 incident cases met criteria for hepatic decompensation. A positive MEFIB-Index [HR = 49.22 (95% CI: 6.23-388.64, p < 0.001)] and a positive MAST-Score [HR = 3.86 (95% CI: 1.46-10.17, p < 0.001)] were statistically significant predictors of the incident hepatic decompensation. MEFIB-Index (c-statistic: 0.89, standard error (SE) = 0.02) was statistically superior to the MAST-Score (c-statistic: 0.81, SE = 0.03) (p < 0.0001) in predicting hepatic decompensation.

conclusionA combination of MRI-based biomarker and blood tests, MEFIB-Index and MAST-Score can predict the risk of hepatic decompensation in patients with MASLD.

Indexed as

Esophageal and Gastric VaricesFatty LiverHepatic EncephalopathyAdultAgedFemaleHumansLiver CirrhosisMaleMiddle AgedRetrospective Studies

Identifiers

PMID37694993
PMCPMC10901230
OpenAlexW4386592151

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.