Safety Profile of Lithium: A Disproportionality Analysis Using the FDA Adverse Event Reporting System

By analyzing real-world data, this study provides a comprehensive evaluation of lithium's safety profile, offering critical evidence for its clinical risk. However, given the inherent limitations of FAERS, such as underreporting of minor symptoms, the findings should be interpreted cautiously. .

Authors

Institutions

Publication Details

Journal
Neuropsychobiology
Published
2025-05-30
DOI
https://doi.org/10.1159/000546602
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety Profile of Lithium: A Disproportionality Analysis Using the FDA Adverse Event Reporting System

Patrick Ip, Jeff Jianfei Guo, Hao Zhu, Hock Foong Lui
5 links
Neuropsychobiology
Pharmacovigilance and Adverse Drug Reactions
article

Safety Profile of Lithium: A Disproportionality Analysis Using the FDA Adverse Event Reporting System

Patrick Ip, Jeff Jianfei Guo, Hao Zhu, Hock Foong Lui
article en

Abstract

By analyzing real-world data, this study provides a comprehensive evaluation of lithium's safety profile, offering critical evidence for its clinical risk. However, given the inherent limitations of FAERS, such as underreporting of minor symptoms, the findings should be interpreted cautiously. .

NeuropsychobiologyVol. 84(4)
University of Illinois Urbana-Champaign (US), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 88%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.