Evidence map›Paper›PMID 41589203›Full record

ArticleHepatology forum2026

Impact of statins on liver transaminases in patients with metabolic dysfunction-associated steatotic liver disease: A 12-month retrospective review.

Paul Jen Wui Wong, Sau Chyun Ng, Samuel George, Rasnaizam Bin Rasdi

Abstract read
In one paragraph

Article in Hepatology forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Paul Jen Wui WongDepartment of Internal Medicine, Gastroenterology Unit, Hospital Tengku Ampuan Afzan, Kuantan, Malaysia.
Sau Chyun NgDepartment of Internal Medicine, Gastroenterology Unit, Hospital Tengku Ampuan Afzan, Kuantan, Malaysia.
Samuel GeorgeKlinik Kesihatan Bentong, Bentong, Malaysia.
Rasnaizam Bin RasdiDepartment of Internal Medicine, Gastroenterology Unit, Hospital Tengku Ampuan Afzan, Kuantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide and is strongly linked to metabolic comorbidities such as diabetes mellitus, hypertension, dyslipidemia, and coronary artery disease. Despite their cardiovascular benefits, statins are historically underused in patients with MASLD because of concerns regarding hepatotoxicity. This study aimed to evaluate the impact of statins on liver transaminase levels in patients with MASLD and assess whether statin type or dose influences these outcomes. Materials and Methods: We conducted a retrospective review of 104 patients with MASLD who attended outpatient clinics between January 2023 and December 2024. Patients on statins for ≥12 months were included, while those with viral hepatitis, autoimmune liver disease, or significant alcohol intake were excluded. The data collected included comorbidities, statin type/dose, and liver transaminase levels at baseline, 3, 6, and 12 months. Patients without baseline transaminase levels available at the time of statin initiation were excluded. Of the 104 patients recruited, only 21 underwent transient elastography, of which two had advanced chronic liver disease. Results: The mean BMI was 34.26 kg/m Conclusion: Statins of different types and doses did not significantly affect transaminases in patients with MASLD, indicating that statins are safe for use in patients with MASLD who meet the criteria for lipid-lowering therapy. Further studies are warranted to explore the long-term hepatic effects of statins in patients with metabolic dysfunction-associated steatohepatitis (MASH), focusing on histological outcomes.

Indexed as

Liver transaminasesMASLDstatins

Identifiers

PMID41589203
PMCPMC12831980

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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.