Evidence map›Paper›PMID 42325012›Full record

ArticleGut and liver2026

Metabolic Dysfunction-Associated Fibrosis 5 Score and the Risk of Liver-Related Events in the General Population.

Byeong Geun Song, Goeun Park, Myung Ji Goh, Wonseok Kang, Geum-Youn Gwak, Yong-Han Paik, Moon Seok Choi, Joon Hyeok Lee, Dong Hyun Sinn

Abstract readEvaluation Study
In one paragraph

Article in Gut and liver, 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

9 authors.

Byeong Geun SongDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-9418-7846
Goeun ParkBiomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea.ORCID 0000-0002-6670-5500
Myung Ji GohDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-9467-9664
Wonseok KangDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-9578-8424
Geum-Youn GwakDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-6453-3450
Yong-Han PaikDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-3076-2327
Moon Seok ChoiDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-4887-2070
Joon Hyeok LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-3547-7434
Dong Hyun SinnDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-7126-5554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: The metabolic dysfunction-associated fibrosis 5 (MAF-5) tool has been proposed for identifying individuals at high risk of liver fibrosis, but its ability to predict liver-related events (LREs) remains unknown. We aimed to evaluate the ability of MAF-5 to predict LREs and assess whether modifications could enhance its predictive capacity. Methods: A retrospective cohort of 62,625 adults without cancer, organ transplantation, chronic viral hepatitis, or heavy alcohol intake was followed for LREs (hepatocellular carcinoma and/or liver cirrhosis complications). The MAF-5 score was calculated and compared with other non-invasive liver fibrosis biomarkers. We also assessed whether modifying the MAF-5 score could improve LRE prediction. Results: During a median follow-up of 11.2 years, 147 patients developed LREs. The MAF-5 scores were used to stratify participants by LRE risk into low-, intermediate-, and high-risk categories, with incidence rates of 0.108, 0.576, and 1.520 cases per 1,000 person-years, respectively. Age was identified as an independent risk factor for LREs, and therefore, we developed an age-modified MAF-5 (aMAF-5) score, which showed improved performance (C-index: 0.870 vs 0.818; integrated area under the curve: 0.858 vs 0.784). Within the same MAF-5 category, LRE risk varied according to the aMAF-5 score. The use of "either positive" criteria improved sensitivity (from 0.412 to 0.765) and decreased specificity (from 0.944 to 0.830), while "both positive" criteria improved specificity and reduced sensitivity. Both scores performed well regardless of age, sex, or metabolic syndrome status. Conclusions: The MAF-5 score allows effective stratification of LRE risk. The aMAF-5 score further improves risk stratification. These scores identify individuals at risk of LREs who may benefit from enhanced surveillance.

Indexed as

Carcinoma, HepatocellularLiver CirrhosisLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseSeverity of Illness IndexAdultBiomarkersFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentBiomarkersLiver fibrosisLiver-related eventsMetabolic dysfunction-associated steatotic liver diseasePredictive learning modelsRisk assessment

Identifiers

PMID42325012
PMCPMC13364746

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.