Results 181 to 190 of about 1,261,156 (366)
Graph-Based Prediction Models for Data Debiasing [PDF]
Bias in data collection, arising from both under-reporting and over-reporting, poses significant challenges in critical applications such as healthcare and public safety. In this work, we introduce Graph-based Over- and Under-reporting Debiasing (GROUD), a novel graph-based optimization framework that debiases reported data by jointly estimating the ...
arxiv
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson+11 more
wiley +1 more source
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance [PDF]
Drug-side effect research is vital for understanding adverse reactions arising in complex multi-drug therapies. However, the scarcity of higher-order datasets that capture the combinatorial effects of multiple drugs severely limits progress in this field. Existing resources such as TWOSIDES primarily focus on pairwise interactions.
arxiv
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao+5 more
wiley +1 more source
Major Birth Defects after Vaccination Reported to the Vaccine Adverse Event Reporting System (VAERS), 1990 to 2014 [PDF]
Pedro L. Moro+3 more
openalex +1 more source
Objective Metabolic syndrome (MetS) is a known comorbidity of psoriatic arthritis (PsA) and is associated with PsA disease activity. We aimed to explore the association between MetS and radiographic features (peripheral and axial) in PsA. Methods We included patients with PsA followed at our prospective observational cohort for the period between 1978 ...
Fadi Kharouf+6 more
wiley +1 more source
A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data [PDF]
Spontaneous reporting system databases are key resources for post-marketing surveillance, providing real-world evidence (RWE) on the adverse events (AEs) of regulated drugs or other medical products. Various statistical methods have been proposed for AE signal detection in these databases, flagging drug-specific AEs with disproportionately high ...
arxiv
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Co‐morbid depression is prevalent in adults with IA, affecting 15 to 39% of people. Whilst pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox+3 more
wiley +1 more source
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms [PDF]
When an individual reports a negative interaction with some system, how can their personal experience be contextualized within broader patterns of system behavior? We study the incident database problem, where individual reports of adverse events arrive sequentially, and are aggregated over time.
arxiv