Results 31 to 40 of about 47,791 (152)

Machine Learning in Causal Inference: Application in Pharmacovigilance

Drug Safety, 2022
Monitoring adverse drug events or pharmacovigilance has been promoted by the World Health Organization to assure the safety of medicines through a timely and reliable information exchange regarding drug safety issues. We aim to discuss the application of
Yiqing Zhao, Yue Yu, Hanyin Wang, Yikuan Li, Yu Deng, Guoqian Jiang, Yuan Luo   +6 more
semanticscholar   +1 more source

Views of healthcare professionals to linkage of routinely collected healthcare data : a systematic review [PDF]

, 2013
Peer reviewedPublisher ...
Bond, C, Francis, J, Haughney, J, Helms, P J, Hopf, Y M   +4 more
core   +2 more sources

A New Era of Pharmacovigilance: Future Challenges and Opportunities

Frontiers in Drug Safety and Regulation, 2022
Medicines safety monitoring is a continuous and dynamic process throughout all the phases of the life cycle of a drug. During the drug development, safety is investigated in different phases.
G. Trifirò, S. Crisafulli
semanticscholar   +1 more source

A New Era in Pharmacovigilance: Toward Real‐World Data and Digital Monitoring

Clinical pharmacology and therapy, 2021
Adverse drug reactions (ADRs) are a major concern for patients, clinicians, and regulatory agencies. The discovery of serious ADRs leading to substantial morbidity and mortality has resulted in mandatory phase IV clinical trials, black box warnings, and ...
A. Lavertu, B. Vora, K. Giacomini, R. Altman, Stefano E. Rensi   +4 more
semanticscholar   +1 more source

Pharmacovigilance‐based drug repurposing: The search for inverse signals via OpenVigil identifies putative drugs against viral respiratory infections

British Journal of Clinical Pharmacology, 2021
Pharmacovigilance data are primarily used to identify adverse drug reactions by screening for disproportionate reporting, i.e. more reports of certain combinations of adverse events and drugs than expected. However, scanning for associations of drugs and
R. Böhm, Claudia Bulin, V. Waetzig, I. Cascorbi, H. Klein, T. Herdegen   +5 more
semanticscholar   +1 more source

Assessing the 2004-2018 fentanyl misusing issues reported to an international range of adverse reporting systems [PDF]

, 2019
© 2019 Schifano, Chiappini, Corkery and Guirguis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Chiappini, Stephania, Corkery, John, Guirguis, Amira, Schifano, Fabrizio   +3 more
core   +3 more sources

Pharmacovigilance in low‐ and middle‐income countries: A review with particular focus on Africa

British Journal of Clinical Pharmacology, 2021
Low‐ and middle‐income countries (LMIC) face unique challenges with regard to the establishment of robust pharmacovigilance systems capable of generating data to inform healthcare policy and practice. These include the limited integration and reliability
R. Kiguba, S. Olsson, C. Waitt
semanticscholar   +1 more source

Kounis Syndrome Associated With Selective Anaphylaxis to Cefazolin. [PDF]

, 2018
info:eu-repo/semantics ...
Chambel, M, Correia, M, Gaspar, A, Morais-Almeida, M, Mota, I, Sequeira, T   +5 more
core   +1 more source

The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration

Drug Safety
In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous
M. Fusaroli, Francesco Salvo, Bernard Bégaud, T. Alshammari, Andrew Bate, V. Battini, Andreas Brueckner, G. Candore, Carla Carnovale, Salvatore Crisafulli, P. Cutroneo, Charles Dolladille, M.-D. Drici, J. Faillie, Adam Goldman, M. Hauben, M. T. Herdeiro, Olivia Mahaux, Katrin Manlik, F. Montastruc, Yoshihiro Noguchi, G. N. Norén, Roberta Noseda, Igho J Onakpoya, Antoine Pariente, E. Poluzzi, Myriam Salem, D. Sartori, Nhung T H Trinh, Marco Tuccori, F. van Hunsel, E. van Puijenbroek, Emanuel Raschi, Charles Khouri   +33 more
semanticscholar   +1 more source

The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement

Drug Safety
Background and aim Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance.
M. Fusaroli, Francesco Salvo, Bernard Bégaud, T. Alshammari, Andrew Bate, V. Battini, Andreas Brueckner, G. Candore, Carla Carnovale, Salvatore Crisafulli, P. Cutroneo, Charles Dolladille, M.-D. Drici, J. Faillie, Adam Goldman, M. Hauben, M. T. Herdeiro, Olivia Mahaux, Katrin Manlik, F. Montastruc, Yoshihiro Noguchi, G. N. Norén, Roberta Noseda, Igho J Onakpoya, Antoine Pariente, E. Poluzzi, Myriam Salem, D. Sartori, Nhung T H Trinh, Marco Tuccori, F. van Hunsel, E. van Puijenbroek, Emanuel Raschi, Charles Khouri   +33 more
semanticscholar   +1 more source