[HTML][HTML] Data mining of the public version of the FDA Adverse Event Reporting System

T Sakaeda, A Tamon, K Kadoyama… - International journal of …, 2013 - ncbi.nlm.nih.gov
Abstract The US Food and Drug Administration (FDA) Adverse Event Reporting System
(FAERS, formerly AERS) is a database that contains information on adverse event and …

Case–non-case studies: principle, methods, bias and interpretation

JL Faillie - Therapies, 2019 - Elsevier
Case–non-case studies are among the methods used to assess drug safety by analyzing the
disproportionality of adverse drug reaction reports in pharmacovigilance databases. First …

Data mining techniques in pharmacovigilance: analysis of the publicly accessible FDA adverse event reporting system (AERS)

E Poluzzi, E Raschi, C Piccinni… - Data mining applications …, 2012 - books.google.com
Drug use in medicine is based on a balance between expected benefits (already
investigated before marketing authorization) and possible risks (ie, adverse effects), which …

Adverse effects of cholinesterase inhibitors in dementia, according to the pharmacovigilance databases of the United-States and Canada

TB Ali, TR Schleret, BM Reilly, WY Chen, R Abagyan - PloS one, 2015 - journals.plos.org
This survey analyzes two national pharmacovigilance databases in order to determine the
major adverse reactions observed with the use of cholinesterase inhibitors in dementia. We …

Comparison of statistical signal detection methods within and across spontaneous reporting databases

G Candore, K Juhlin, K Manlik, B Thakrar, N Quarcoo… - Drug safety, 2015 - Springer
Background Most pharmacovigilance departments maintain a system to identify adverse
drug reactions (ADRs) through analysis of spontaneous reports. The signal detection …

Drug-induced torsades de pointes: Disproportionality analysis of the United States Food and Drug Administration adverse event reporting system

Z Wu, P Zhou, N He, S Zhai - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
Objective This study aimed to identify the most common and top drugs associated with the
risk of torsades de pointes (TdP) based on the United States Food and Drug Administration …

Adverse drug reaction signal detection methods in spontaneous reporting system: A systematic review

XF Jiao, L Pu, S Lan, H Li, L Zeng… - … and Drug Safety, 2024 - Wiley Online Library
Background A series of signal detection methods have been developed to detect adverse
drug reaction (ADR) signals in spontaneous reporting system. However, different signal …

Drug‐associated acute kidney injury identified in the united states food and drug administration adverse event reporting system database

HK Welch, JA Kellum… - … : The Journal of Human …, 2018 - Wiley Online Library
Study Objective Acute kidney injury (AKI) is a common condition associated with both short‐
term and long‐term consequences including dialysis, chronic kidney disease, and mortality …

Safety of tildrakizumab: A disproportionality analysis based on the FDA adverse event reporting system (FAERS) database from 2018–2023

J Lin, X Chen, M Luo, Q Zhuo, H Zhang… - Frontiers in …, 2024 - frontiersin.org
Background: Tildrakizumab, the IL-23 inhibitor, is used to treat plaque psoriasis and
psoriatic arthritis. Many studies have reported adverse drug reactions (ADRs) associated …

Adverse drug events associated with linezolid administration: a real-world pharmacovigilance study from 2004 to 2023 using the FAERS database

F Zou, Z Cui, S Lou, Y Ou, C Zhu, C Shu… - Frontiers in …, 2024 - frontiersin.org
Introduction: Linezolid is an oxazolidinone antibiotic that is active against drug-resistant
Gram-positive bacteria and multidrug-resistant Mycobacterium tuberculosis. Real-world …