A Real‐World Pharmacovigilance Study of <scp>FDA</scp> Adverse Event Reporting System Events for Obeticholic Acid

Based on the pharmacovigilance study of the FAERS database, it is necessary to strengthen the clinical medication monitoring of OCA, so as to provide reference for effective pharmaceutical monitoring and rational clinical medication.

Authors

Institutions

Publication Details

Journal
Pharmacoepidemiology and Drug Safety
Published
2025-01-01
DOI
https://doi.org/10.1002/pds.70084
Citations
9
Primary Topic
Drug-Induced Adverse Reactions
Type
article
Field-Weighted Citation Impact
12.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Real‐World Pharmacovigilance Study of FDA Adverse Event Reporting System Events for Obeticholic Acid

Weicheng Yin, Zhishan Wu, Le Hai, Jiaojiao Wu et al.
9 citations
Pharmacoepidemiology and Drug Safety
Drug-Induced Adverse Reactions
12.55
article

A Real‐World Pharmacovigilance Study of FDA Adverse Event Reporting System Events for Obeticholic Acid

Weicheng Yin, Zhishan Wu, Le Hai, Jiaojiao Wu, Xiaohong Pan
article en
9 citations

Abstract

Based on the pharmacovigilance study of the FAERS database, it is necessary to strengthen the clinical medication monitoring of OCA, so as to provide reference for effective pharmaceutical monitoring and rational clinical medication.

Pharmacoepidemiology and Drug SafetyVol. 34(1)
Hunan Provincial Center for Disease Control and Prevention (CN), Hunan Entry-Exit Inspection and Quarantine Bureau (CN)
Good health and well-being
Openalex Percentile: Top 1%
Drug-Induced Adverse Reactions
12.55
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.