Results 251 to 260 of about 239,832 (344)

Gastrointestinal Perforation as a Safety Concern Among Patients With Rheumatoid Arthritis Receiving JAK Inhibitor Therapy: A Systematic Review and Network Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective Gastrointestinal perforation (GIP) is a rare and life‐threatening safety concern associated with JAK inhibitors (JAKi). We aimed to review the evidence regarding the risk of GIP associated with the use of JAKi in patients with rheumatoid arthritis (RA) using a systematic review and network meta‐analysis approach.
Thipsukhon Sathapanasiri   +7 more
wiley   +1 more source

Moderators and mediators of pain and function outcomes in a new service delivery model for management of knee osteoarthritis in primary care (PARTNER): Secondary exploratory analysis of a randomized controlled trial

open access: yesArthritis Care &Research, Accepted Article.
Objective Explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (PARTNER), at 12 months (ACTRN12617001595303). Methods Secondary analyses of a cluster randomized controlled trial comparing PARTNER to usual general practitioner‐delivered ...
Abdolhay Farivar   +12 more
wiley   +1 more source

Patlak Slope versus Standardized Uptake Value Image Quality in an Oncologic PET/CT Population: A Prospective Cross-Sectional Study. [PDF]

open access: yesDiagnostics (Basel)
Ince S   +7 more
europepmc   +1 more source

Agreement of administrative pharmacy dispensing with self‐reported use of oral prednisone in US Veterans with rheumatoid arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims‐based algorithms for glucocorticoid use compared to self‐report in an RA population.
Beth I. Wallace   +16 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy