Evidence map›Paper›PMID 40149400›Full record

ArticleGenes2025

The Association Between Statin Drugs and Rhabdomyolysis: An Analysis of FDA Adverse Event Reporting System (FAERS) Data and Transcriptomic Profiles.

Robert Morris, Kun Bu, Weiru Han, Savanah Wood, Paola M Hernandez Velez, Jacob Ward, Ariana Crescitelli, Madison Martin, Feng Cheng

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

9 authors.

Robert MorrisDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Kun BuDepartment of Mathematics & Statistics, College of Art and Science, University of South Florida, Tampa, FL 33620, USA.ORCID 0009-0006-9526-3023
Weiru HanDepartment of Mathematics & Statistics, College of Art and Science, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0002-6264-3090
Savanah WoodDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Paola M Hernandez VelezDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Jacob WardDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Ariana CrescitelliDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Madison MartinDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.
Feng ChengDepartment of Pharmaceutical Science, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33613, USA.ORCID 0000-0003-3619-8090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesRhabdomyolysis, a dangerous breakdown of skeletal muscle, has been reported as an adverse event in those prescribed a statin therapy for the treatment of hypercholesterolemia. Statin drugs are some of the most prescribed treatments for elevated cholesterol levels. The purpose of this comparative study was to determine the association between the statin drugs used and the risk of rhabdomyolysis using the FDA Adverse Event Reporting System (FAERS) and transcriptomic data.

methodsA disproportionality analysis was performed to compare the risk of rhabdomyolysis between the reference statin drug (simvastatin) and the treatment group, with patient age assessed as a possible confounder. In addition, association rule mining was utilized to both identify other adverse events that frequently presented with rhabdomyolysis and identify possible drug-drug interactions (DDIs). Finally, public transcriptomic data were explored to identify the possible genetic underpinnings highlighting these differences in rhabdomyolysis risk across statins.

resultsRhabdomyolysis is a commonly reported adverse event for patients treated with statins, particularly those prescribed simvastatin. Simvastatin was associated with a more than 2-fold increased likelihood of rhabdomyolysis compared to other statins. Men were twice as likely to report rhabdomyolysis than women regardless of statin treatment, with the highest risk observed for pravastatin (ROR = 2.30,

conclusionsSimvastatin was associated with the highest risk of rhabdomyolysis. The risk of rhabdomyolysis was more pronounced in men than women. Several possible DDIs were identified including furosemide/Lasix, allopurinol clopidogrel/Plavix, and pantoprazole.

Indexed as

Adverse Drug Reaction Reporting SystemsHydroxymethylglutaryl-CoA Reductase InhibitorsRhabdomyolysisTranscriptomeAdultAgedDrug InteractionsFemaleHumansMaleMiddle AgedSimvastatinUnited StatesUnited States Food and Drug AdministrationHydroxymethylglutaryl-CoA Reductase InhibitorsSimvastatinassociation rulesDDIdrug interactionsFAERSkidney injurymuscle diseasepharmacovigilancerhabdomyolysisRNA-seqstatins

Identifiers

PMID40149400
PMCPMC11942242

What Socratic holds

Textmetadata
LicenceCC BY
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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.