Safety assessment of laronidase: real-world adverse event analysis based on the FDA adverse event reporting system (FAERS)

Our study has identified AEs associated with laronidase that could provide support for clinical monitoring and risk identification of laronidase.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2025-08-20
DOI
https://doi.org/10.3389/fphar.2025.1623921
Citations
2
Primary Topic
Lysosomal Storage Disorders Research
Type
article
Field-Weighted Citation Impact
2.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety assessment of laronidase: real-world adverse event analysis based on the FDA adverse event reporting system (FAERS)

Jinyu Xue, Xin Yu, Zhuomiao Lin, Jiahong Zhong et al.
2 citations
Frontiers in Pharmacology
Lysosomal Storage Disorders Research
2.33
article

Safety assessment of laronidase: real-world adverse event analysis based on the FDA adverse event reporting system (FAERS)

Jinyu Xue, Xin Yu, Zhuomiao Lin, Jiahong Zhong, Meiqing Yang
article en
2 citations

Abstract

Our study has identified AEs associated with laronidase that could provide support for clinical monitoring and risk identification of laronidase.

Frontiers in PharmacologyVol. 16
Chinese University of Hong Kong (HK), Shantou University (CN), Meizhou City People's Hospital (CN), Second Affiliated Hospital of Shantou University Medical College (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 11%
Lysosomal Storage Disorders Research
2.33
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.