Results 1 to 10 of about 47,791 (152)

Eculizumab in paroxysmal nocturnal haemoglobinuria and atypical haemolytic uraemic syndrome: 10‐year pharmacovigilance analysis

open access: yesBritish Journal of Haematology, 2019
Eculizumab is the first and only medication approved for paroxysmal nocturnal haemoglobinuria (PNH) and atypical haemolytic uraemic syndrome (aHUS) treatment. However, eculizumab safety based on long‐term pharmacovigilance is unknown.
Gérard Soci   +2 more
exaly   +2 more sources

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2022
The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately improve public health.
ZHAOYUE SUN   +7 more
semanticscholar   +1 more source

Considerations on the use of different comparators in pharmacovigilance: A methodological review

open access: yesBritish Journal of Clinical Pharmacology, 2023
Pharmacovigilance studies based on spontaneous reporting systems use disproportionality analysis methods to identify drug‐event combinations with higher‐than‐expected reporting. Enhanced reporting is deemed as a proxy for a detected signal and is used to
Christopher A Gravel, A. Douros
semanticscholar   +1 more source

Adverse events associated with JAK inhibitors in 126,815 reports from the WHO pharmacovigilance database

open access: yesScientific Reports, 2022
Increasing number of Janus kinase (JAK) inhibitors have been approved for chronic haematopoietic neoplasms and inflammatory/autoimmune diseases.
L. Hoisnard   +13 more
semanticscholar   +1 more source

Evaluation of health care professionals’ knowledge, attitudes, practices and barriers to pharmacovigilance and adverse drug reaction reporting: A cross-sectional multicentral study

open access: yesPLoS ONE, 2023
Background Healthcare professionals’ involvement and reporting of adverse drug reactions are essential for the success of a pharmacovigilance program.
Z. Khan   +2 more
semanticscholar   +1 more source

Pharmacovigilance in High-Income Countries: Current Developments and a Review of Literature

open access: yesPharmacy, 2023
The world bank has classified 80 economies based on their Gross National Income (GNI) per capita as High-Income. European Medicines Agency (EMA), Food and Drug Administration (FDA), and Pharmaceuticals and Medical Devices Agency (PMDA) are the major ...
Muhammad Akhtar Abbas Khan   +2 more
semanticscholar   +1 more source

Systematic analysis of drug-associated myocarditis reported in the World Health Organization pharmacovigilance database

open access: yesNature Communications, 2022
While multiple pharmacological drugs have been associated with myocarditis, temporal trends and overall mortality have not been reported. Here we report the spectrum and main features of 5108 reports of drug-induced myocarditis, in a worldwide ...
L. Nguyen   +16 more
semanticscholar   +1 more source

Association of Facial Paralysis With mRNA COVID-19 Vaccines: A Disproportionality Analysis Using the World Health Organization Pharmacovigilance Database.

open access: yesJAMA Internal Medicine, 2021
Association of Facial Paralysis With mRNA COVID-19 Vaccines: A Disproportionality Analysis Using the World Health Organization Pharmacovigilance Database During the pivotal phase 3 clinical trials of mRNA COVID-19 vaccines, several cases of facial ...
Lucie Renoud   +6 more
semanticscholar   +1 more source

“Artificial Intelligence” for Pharmacovigilance: Ready for Prime Time?

open access: yesDrug Safety, 2022
There is great interest in the application of ‘artificial intelligence’ (AI) to pharmacovigilance (PV). Although US FDA is broadly exploring the use of AI for PV, we focus on the application of AI to the processing and evaluation of Individual Case ...
R. Ball, G. D. Dal Pan
semanticscholar   +1 more source

Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review

open access: yesDrug Safety, 2022
Introduction Artificial intelligence based on machine learning has made large advancements in many fields of science and medicine but its impact on pharmacovigilance is yet unclear.
Benjamin Kompa   +9 more
semanticscholar   +1 more source

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