Post-marketing Safety Surveillance of Drug-induced Dementia: Utilizing Signal Detection and Mendelian Randomization in Spontaneous Reports

The adverse event data sourced from the FAERS database indicate that certain medications are associated with an increased risk of developing dementia, a finding corroborated by our Mendelian randomization analysis. Establishing a comprehensive monitoring and risk assessment program is crucial for identifying high-risk individuals and facilitating informed medication choices, thereby potentially reducing the incidence of dementia.

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Publication Details

Journal
Current Medicinal Chemistry
Published
2025-08-12
DOI
https://doi.org/10.2174/0109298673378809250707043350
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01
Controls
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article

Post-marketing Safety Surveillance of Drug-induced Dementia: Utilizing Signal Detection and Mendelian Randomization in Spontaneous Reports

Shang Yazhen, Chen Li, Yan Chen, Yinhui Yao
2 citations
Current Medicinal Chemistry
Computational Drug Discovery Methods
3.01
article

Post-marketing Safety Surveillance of Drug-induced Dementia: Utilizing Signal Detection and Mendelian Randomization in Spontaneous Reports

Shang Yazhen, Chen Li, Yan Chen, Yinhui Yao
article en
2 citations

Abstract

The adverse event data sourced from the FAERS database indicate that certain medications are associated with an increased risk of developing dementia, a finding corroborated by our Mendelian randomization analysis. Establishing a comprehensive monitoring and risk assessment program is crucial for identifying high-risk individuals and facilitating informed medication choices, thereby potentially reducing the incidence of dementia.

Current Medicinal ChemistryVol. 32
Hebei University of Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 8%
Computational Drug Discovery Methods
3.01
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