Evidence mapPaperPMID 40691268Full record

ArticleScientific reports2025

Non-invasive scoring systems of liver fibrosis predict prognosis in the cohort with myocardial infarction.

Esther Wong, Yiming Chen, Gwyneth Kong, Jobelle Chia, Audrey Zhang, Anurag Mehta, Jayanth Jayabaskaran, Bryan Chong, Grace Cao, Benjamin Nah and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

15 authors.

Esther Wong *Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yiming Chen *Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Gwyneth Kong *Department of Medicine, National University Hospital, Singapore, Singapore.
Jobelle ChiaDepartment of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore.
Audrey ZhangDepartment of Medicine, National University Hospital, Singapore, Singapore.
Anurag MehtaVCU Health Pauley Heart Center, Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, VA, US.
Jayanth JayabaskaranYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Bryan ChongDepartment of Medicine, National University Hospital, Singapore, Singapore.
Grace CaoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Benjamin NahDepartment of Medicine, National University Hospital, Singapore, Singapore.
Mark Yan-Yee ChanDepartment of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore.
Mark MuthiahDivision of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore.
Poay-Huan LohYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mamas A MamasInstitute of Population Health, University of Manchester, Manchester, UK.
Nicholas Ws ChewDepartment of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore. nicholas_ws_chew@nuhs.edu.sg.ORCID http://orcid.org/0000-0002-0640-0430

Funding

Astra Zeneca, Abbott Technologies, and Boston Scientific speaker's fees and research grantsNational Medical Research Council Research Training Fellowship MH 095:003/008-303National University of Singapore Yong Loo Lin School of Medicine's Academic Fellowship Scheme, and the NUHS Clinician Scientist Program NCSP2.0/2024/NUHS/NCWSNUHS Seed Fund NUHSRO/2022/058/RO5+6/Seed-Mar/03
6 · The paper itself

Abstract

Patients with liver fibrosis and type 2 diabetes mellitus (T2DM) have an increased risk of cardiovascular events. However, long-term prognosis of liver fibrosis and T2DM after acute myocardial infarction (AMI) remain to be investigated. This study compared clinical characteristics and prognosis of AMI patients with T2DM and evidence of liver fibrosis. Patients were stratified into low, intermediate and high-risk for fibrosis, using serum-based non-invasive tests (NITs): Fibrosis-4 Index (FIB-4), Aspartate Aminotransferase to Platelet Ratio Index (APRI) and Non-alcoholic Fatty Liver Disease Fibrosis Score (NFS). The primary outcome was all-cause mortality, Kaplan-Meier curves were constructed for 5-year all-cause mortality. Cox regression analysis was used to determine the independent predictors of mortality, adjusting for confounders. Out of 3287 AMI patients, 1547 were stratified as high-risk by any NIT (mean follow-up duration 2.7 ± 2.3 years). A dose-response relationship was found with increasing mortality risk for higher APRI and NFS scores. High-risk FIB-4 also predicted mortality significantly (adjusted HR [aHR] 1.791, 95% CI 1.436-2.235, p < 0.001). High-risk FIB-4 and APRI independently predicted mortality regardless of T2DM status, while NFS only predicted mortality in T2DM patients. Following AMI, individuals stratified by FIB-4, APRI, NFS as high-risk for liver fibrosis were associated with excess long-term mortality (aHR 1.780, 95% CI 1.442-2.196, p < 0.001). Hence, readily available NITs may be beneficial in risk prognostication of AMI patients.

Indexed as

Diabetes Mellitus, Type 2Liver CirrhosisMyocardial InfarctionAgedAspartate AminotransferasesCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePrognosisRisk FactorsAspartate AminotransferasesAcute coronary syndromeAspartate aminotransferase to platelet ratio indexFibrosis-4 indexMetabolic dysfunction-associated steatotic liver diseaseNon-alcoholic fatty liver disease fibrosis scoreNon-invasive tests

Identifiers

PMID40691268
PMCPMC12280198

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.