Results 131 to 140 of about 171,960 (258)
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Transparency in reporting frameworks in Osteoarthritis and Cartilage Open: Research designs and value streams. [PDF]
Christensen R, Haugegaard T, Madry H.
europepmc +1 more source
Objectives We aimed to determine whether the short‐term response to biologics in biologic‐naïve psoriatic arthritis (PsA) is better in patients initiating biologic treatment early in the disease course. Methods PsA patients who started biologic therapy from the year 2000 to 2025 were included for analysis. Patients considered in the early treatment (ET)
Sung Min Cho +4 more
wiley +1 more source
Development and validation of a rule-based tool for quality management reporting in a genetics laboratory. [PDF]
Trad F +4 more
europepmc +1 more source
Caregiver Perspectives on the Burden of Disease and Treatment in Uncontrolled Gout
Objective Uncontrolled gout (UG) refers to persistently elevated serum urate (SU) levels >6 mg/dL and ongoing gout symptoms despite use of urate‐lowering therapy (ULT). The objective of this study was to evaluate the burden associated with informal caregiving for individuals with UG.
Angelo Gaffo +6 more
wiley +1 more source
Whistleblowing in financial practice: a review of processes and impacts. [PDF]
Al-Thani N, Wright S.
europepmc +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
AI-driven cardiovascular risk prediction in patients with diabetes: bridging algorithmic innovation to equitable clinical application. [PDF]
Li H, Xu Z, Cen Y, Liu X.
europepmc +1 more source
International Financial Reporting Standards
openaire +1 more source

