A real-world pharmacovigilance analysis of acute renal failure associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS)

The widespread use of sacubitril/valsartan has raised safety concerns, particularly regarding acute renal failure. Our study, leveraging real-world FAERS data, systematically analyzed this association, providing new evidence on acute renal failure risks.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-10-15
DOI
https://doi.org/10.1371/journal.pone.0334402
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

A real-world pharmacovigilance analysis of acute renal failure associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS)

Qingmao Luo, Jianping Lai, Wenyan Yi, Shiyu Wang et al.
PLoS ONE
Pharmacovigilance and Adverse Drug Reactions
article

A real-world pharmacovigilance analysis of acute renal failure associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS)

Qingmao Luo, Jianping Lai, Wenyan Yi, Shiyu Wang, Ying‐Yu Lai, Jia-Hao Chen
article en

Abstract

The widespread use of sacubitril/valsartan has raised safety concerns, particularly regarding acute renal failure. Our study, leveraging real-world FAERS data, systematically analyzed this association, providing new evidence on acute renal failure risks.

PLoS ONEVol. 20(10)
Hezhou University (CN)
Openalex Percentile: Top 72%
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.