Reports from spontaneous reporting systems (SRS) are hypothesis generating. Additional
evidence such as more reports is required to determine whether the generated drug-event …

Objective Data-mining algorithms that can produce accurate signals of potentially novel
adverse drug reactions (ADRs) are a central component of pharmacovigilance. We propose …

Abstract Background and Objective Spontaneous reporting systems (SRSs) remain the
cornerstone of post-marketing drug safety surveillance despite their well-known limitations …

Concerns have been expressed that large numbers of nonvalue‐added reports have been
accumulating in adverse drug reaction (ADR) databases, for example, via patient support …

Adverse drug reactions' spontaneous reporting systems are an important element in
worldwide pharmacovigilance, gathering potentially useful information for post-marketing …

Introduction Concerns have been raised over the quality of drug safety information,
particularly data completeness, collected through spontaneous reporting systems (SRS) …

Introduction Medicines are among the most effective technologies for reducing mortality and
morbidity. Adverse drug reactions (ADRs) are a well-recognised public health problem and …

Background Pharmacovigilance signal detection largely relies on individual case reports,
but longitudinal health data are being explored as complementary information sources …

Introduction Pharmacovigilance programs protect patient health and safety by identifying
adverse event signals through postmarketing surveillance of claims data and spontaneous …

The identification of post-marketed adverse drug events (ADEs) is paramount to health care.
Spontaneous reporting systems (SRS) are currently the mainstay in pharmacovigilance …