Association between PCSK9 targeted therapy and the risk of stroke and dementia: A Meta-Analysis of Randomized Controlled Trials
- Journal
- The American journal of medicine (Q1)
- Published
- 4 August 2026
- Study design
- Systematic review / meta-analysis of RCTs
- Evidence level
- Level 1, High (CEBM 1a)
- Authors
- Vikash Jaiswal, Novonil Deb, Fakhar Latif, Abhigan Babu Shrestha, Vamsi Garimella, Nishat Shama, et al.
- PMID
- 42551778
- DOI
- 10.1016/j.amjmed.2026.06.034
Why clinicians should know about it
- Picked for Neurology (clinical) (top studies of the week, 9 August 2026).
Abstract
BACKGROUND: Proprotein convertase subtilisin/kexin type 9 (PCSK9) targeted therapies have been shown to reduce low-density lipoprotein cholesterol (LDL-C) levels and circulating PCSK9. However, its effect on cerebrovascular outcomes, especially stroke and dementia, has not been well established to date. METHODS: We conducted a systematic literature search of electronic databases for relevant randomized controlled trials (RCTs) from inception through January 2025. Odds ratios (OR) and 95% confidence intervals (CI) were pooled using a random-effect model, and a p-value of <0.05 was considered statistically significant. RESULTS: A total of 22 RCTs with 64,116 patients were included in the study. Pooled analysis showed that PCSK9-targeted therapy significantly reduced the risk of all-cause stroke (OR, 0.78 (95% CI: 0.68-0.90), P < 0.001) and ischemic stroke (OR, 0.77 (95% CI: 0.63-0.94), P=0.01). However, no significant association was observed for the risk of hemorrhagic stroke (OR, 1.16 (95%CI: 0.70-1.93), P=0.56), transient ischemic attack (OR, 0.98 (95%CI: 0.48-2.06), P= 0.95), dementia (OR, 0.77 (95%CI: 0.14-4.28), P=0.76), dementia of Alzheimer's type (OR, 0.81 (95%CI: 0.14-4.70), P=0.82), and Parkinson's disease (OR, 0.82 (95%CI: 0.11-6.37), P=0.85). CONCLUSION: PCSK9 targeted therapies appear to reduce the risk of stroke; however, no significant association was observed for the risk of dementia and Parkinson's disease.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.