Results 41 to 50 of about 1,331,435 (262)

Musculoskeletal Adverse Events Associated with PCSK9 Inhibitors: Disproportionality Analysis of the FDA Adverse Event Reporting System [PDF]

Cardiovascular Therapeutics, 2022
Background. Some studies suggest that potential safety issues about PCSK9 inhibitors have not been sufficiently explored in clinical trials, including musculoskeletal adverse events (MAEs). Objective. To examine the association between use of PCSK9 inhibitors with and without concurrent statins and risk of MAEs. Patients and Methods.
Lingqing Ding, Congqin Chen, Yongkuan Yang, Jie Fang, Longxing Cao, Yige Liu   +5 more
openaire   +3 more sources

A logic programming approach to medical errors in imaging [PDF]

, 2011
Background: In 2000, the Institute of Medicine reported alarming data on the scope and impact of medical errors calling the public attention. One solution to this problem is the adoption of adverse event reporting and learning systems that can help to ...
Alves, Victor, Brandão, Paulo, Nelas, Luís, Neves, José, Rodrigues, Susana Isabel Magalhães da Rocha   +4 more
core   +1 more source

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives

JMIR Medical Informatics, 2014
BackgroundThe Food and Drug Administration’s (FDA) Adverse Event Reporting System (FAERS) is a repository of spontaneously-reported adverse drug events (ADEs) for FDA-approved prescription drugs.
Polepalli Ramesh, Balaji, Belknap, Steven M, Li, Zuofeng, Frid, Nadya, West, Dennis P, Yu, Hong   +5 more
doaj   +1 more source

The Absurdity of Death Estimates Based on the Vaccine Adverse Event Reporting System [PDF]

arXiv, 2022
We demonstrate from first principles a core fallacy employed by a coterie of authors who claim that data from the Vaccine Adverse Reporting System (VAERS) show that hundreds of thousands of U.S. deaths are attributable to COVID vaccination.
arxiv  

Pharmacovigilance evaluation of the relationship between impaired glucose metabolism and BCR‐ABL inhibitor use by using an adverse drug event reporting database [PDF]

, 2022
Breakpoint cluster region‐Abelson murine leukemia (BCR‐ABL) inhibitors markedly improve the prognosis of chronic myeloid leukemia. However, high treatment adherence is necessary for successful treatment with BCR‐ABL inhibitors.
Chuma, Masayuki, Goda, Mitsuhiro, Hamano, Hirofumi, Imanishi, Masaki, Ishida, Shunsuke, Ishizawa, Keisuke, Niimura, Takahiro, Okada, Naoto, Takechi, Kenshi, Zamami, Yoshito   +9 more
core  

A disproportionality analysis of adverse events associated to pertuzumab in the FDA Adverse Event Reporting System (FAERS)

BMC Pharmacology and Toxicology, 2023
Abstract Background Pertuzumab is widely used for the treatment of HER2 + breast cancer. But its safety in the real world should be continuously monitored. So, we evaluated the safety of pertuzumab by pharmacovigilance analyze based on related adverse events (AEs) from the FDA Adverse Event Reporting System (FAERS) and ...
Zou, Shu-peng, Yang, Hai-yun, Ouyang, Meng-ling, Cheng, Qian, Shi, Xuan, Sun, Ming-hui   +5 more
openaire   +2 more sources

Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter [PDF]

, 2014
Background: Traditional adverse event (AE) reporting systems have been slow in adapting to online AE reporting from patients, relying instead on gatekeepers, such as clinicians and drug safety groups, to verify each potential event.
Bao, Wenjie, Brownstein, John S., Dasgupta, Nabarun, Filice, Ross, Freifeld, Clark C., Kass-Hout, Taha, Menone, Christopher M.   +6 more
core   +3 more sources

Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology [PDF]

arXiv, 2022
While vaccines are crucial to end the COVID-19 pandemic, public confidence in vaccine safety has always been vulnerable. Many statistical methods have been applied to VAERS (Vaccine Adverse Event Reporting System) database to study the safety of COVID-19 vaccines. However, all these methods ignored the adverse event (AE) ontology.
arxiv  

Deep Learning Prediction of Adverse Drug Reactions Using Open TG-GATEs and FAERS Databases [PDF]

, 2020
With the advancements in Artificial intelligence (AI) and the accumulation of healthrelated big data, it has become increasingly feasible and commonplace to leverage machine learning technologies to analyze clinical and omics metadata to assess the possibility of adverse drug reactions or events (ADRs) in the course of drug discovery.
arxiv   +1 more source

Adverse events among Ontario home care clients associated with emergency room visit or hospitalization: a retrospective cohort study [PDF]

, 2013
Background: Home care (HC) is a critical component of the ongoing restructuring of healthcare in Canada. It impacts three dimensions of healthcare delivery: primary healthcare, chronic disease management, and aging at home strategies.
Baker, G. Ross, Blais, Régis, Dill, Donna, Doran, Diane M., Droppo, Lisa, Foebel, Andrea Dawn, Gruneir, Andrea, Heckman, George A., Hirdes, John P., Jantzi, Micaela, Lacroix, Hélène, Li, Xiaoqiang, McIsaac, Corrine, Mitchell, Lori, Nahm, Sang-Myong, O'Beirne, Maeve, Poss, Jeffrey W., Qian, Gan, White, Nancy, Yim, Odilia   +19 more
core   +1 more source