Evidence mapPaperPMID 40990283Full record

ArticleCurrent pharmaceutical design2026

Ranking the Diabetes-related Safety Profile of Different Statin Drugs.

Dongsheng Zheng, Jinsuai Ren, Duo Lv, Qingwei Zhao, Dongsheng Hong

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Article in Current pharmaceutical design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

5 authors.

Dongsheng ZhengDepartment of Clinical Pharmacy, Zhejiang Provincial Engineering Center for Innovative Drug Clinical Research and Application, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jinsuai RenDepartment of Clinical Pharmacy, Zhejiang Provincial Engineering Center for Innovative Drug Clinical Research and Application, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Duo LvDepartment of Clinical Pharmacy, Zhejiang Provincial Engineering Center for Innovative Drug Clinical Research and Application, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qingwei ZhaoDepartment of Clinical Pharmacy, Zhejiang Provincial Engineering Center for Innovative Drug Clinical Research and Application, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dongsheng HongDepartment of Clinical Pharmacy, Zhejiang Provincial Engineering Center for Innovative Drug Clinical Research and Application, Zhejiang Provincial Key Laboratory of Traditional Chinese Medicine for Clinical Evaluation and Translational Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

Clinical Medicine Special Project of the Zhejiang Medical Association 2022ZYC-D03Joint Fund of Zhejiang Provincial Natural Science Foundation, China LYY21H310003
6 · The paper itself

Abstract

introductionStatins are widely prescribed for cardiovascular disease prevention, but their potential to increase diabetes risk has prompted regulatory warnings. Different statin drugs have varying physicochemical properties, yet comprehensive comparative assessments of their individual diabetes-related safety profiles remain limited in post-marketing surveillance data. Therefore, this study aimed to evaluate and compare the risk of diabetes-related adverse events among different statin drugs using pharmacovigilance data.

methodsWe analyzed adverse event reports from the FDA Adverse Event Reporting System (FAERS) database from 2004 to 2022. Diabetes-related adverse events were identified using relevant MedDRA Preferred Terms. Four pharmacovigilance algorithms-Reporting Odds Ratio (ROR), Medicines and Healthcare products Regulatory Agency (MHRA) standard method, Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinkage-were employed to detect signals. Positive signals were defined when all four methods showed significance. Outcome severity and time-to-event were also analyzed.

resultsAmong 13,438,409 ADE reports, 63,583 identified statins as primary suspect drugs, with 11,562 reporting diabetes-related events. Positive signals were detected for atorvastatin, rosuvastatin, simvastatin, pravastatin, and pitavastatin. Signal strength ranking showed atorvastatin had the strongest association (ROR 36.70; 95% CI 35.92-37.51), followed by rosuvastatin (ROR 9.63; 95% CI 9.10-10.19), pitavastatin (ROR 5.46; 95% CI 4.03-7.41), simvastatin (ROR 2.96; 95% CI 2.54-3.45), and pravastatin (ROR 2.82; 95% CI 2.14-3.71). In patients under 45, only atorvastatin showed a positive signal. Atorvastatin was associated with a higher risk of serious adverse events (PRR=1.37; 95% CI: 1.09-1.71) with a median time to event of 1,012 days. DISCUSSION: Our findings revealed differences in diabetes-related risk profiles among statins, with atorvastatin demonstrating the strongest signals across different age groups. The observed risk hierarchy may be attributed to differences in lipophilicity, potency, and metabolic effects. The age-dependent patterns and extended timeto- event for diabetic events underscore the importance of long-term monitoring, complementing clinical trial data with post-marketing surveillance evidence for improved statin selection.

conclusionDifferent statins demonstrate varying associations with diabetes-related adverse events, with atorvastatin showing the strongest signal across age groups. These findings may inform clinical decisionmaking when prescribing statins, particularly for patients with pre-existing diabetes risk factors.

Indexed as

Diabetes MellitusHydroxymethylglutaryl-CoA Reductase InhibitorsAdverse Drug Reaction Reporting SystemsAgedFemaleHumansMaleMiddle AgedPharmacovigilanceUnited StatesUnited States Food and Drug AdministrationHydroxymethylglutaryl-CoA Reductase Inhibitorsadverse drug eventdiabetes mellitusdisproportionality analysis.drug safetypharmacoepidemiologyStatins

Identifiers

PMID40990283

What Socratic holds

Texttitle and abstract
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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.