Evidence map›Paper›PMID 42783015›Full record

ArticleJournal of cardiovascular development and disease2026

Liver Disease, Liver Fibrosis, and the Invasive-Management Gap in Acute Myocardial Infarction: A Single-Center Cohort with Dual ICD and FIB-4 Stratification.

Arun Gajan Pradeep, Muhammad Abdurrahman Butt, Kaiyu Jia, Bishoy Beshay, Jessica Meng, Saif Yasin, Esther Pearce, Thomas Gut

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 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

8 authors.

Arun Gajan PradeepDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.
Muhammad Abdurrahman ButtDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.
Kaiyu JiaDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.ORCID 0009-0002-8976-0411
Bishoy BeshayDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.ORCID 0000-0002-9301-8669
Jessica MengDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.
Saif YasinDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.
Esther PearceDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.
Thomas GutDepartment of Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, USA.ORCID 0000-0002-5704-3410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with chronic liver disease are systematically excluded from acute myocardial infarction (AMI) trials, and prior real-world data rely on administrative coding alone. Whether ICD-coded liver disease and laboratory-defined liver fibrosis identify the same patients, and whether they predict the same outcomes, is unknown. We conducted a single-center retrospective cohort study of 1037 consecutive adults admitted with AMI (ICD-10 I21.x) to a tertiary New York center between November 2022 and December 2024. The primary exposure was ICD-defined advanced liver disease (cirrhosis, hepatic failure, or portal hypertension/decompensation;

Indexed as

acute myocardial infarctioncirrhosisFIB-4invasive managementliver fibrosisoutcomes

Identifiers

PMID42783015
PMCPMC13607740

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.