Results 241 to 250 of about 831,042 (309)

Accuracy of Diagnostic Codes and Algorithms Used to Identify Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in Administrative Claims and Electronic Health Records: Systematic Review and Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in electronic health records. Methods We searched Medline, Embase, and Cochrane Central Register for Controlled Trials databases and included studies that validated case definitions against a ...
Constanza Saka‐Herrán   +10 more
wiley   +1 more source

Frailty assessment for risk stratification in pancreatic surgery. [PDF]

open access: yesLangenbecks Arch Surg
Frey MC   +6 more
europepmc   +1 more source

Testing A Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner   +9 more
wiley   +1 more source

Risk Stratification and Population Management: Validation of the Patient Stratification Model Based on Electronic Health Record

open access: diamond, 2015
Irina V. Haller   +5 more
openalex   +1 more source

Validation of a Genetic Risk Score Combined with Clinical Variables for Predicting Pulmonary Fibrosis in early Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). The study aimed to externally validate a genetic risk score (GRS) and a combined risk score for predicting the risk of RA‐associated PF in an independent cohort of early‐RA patients. Methods This study utilized an inception cohort of 1118 patients
Mikael Brink   +3 more
wiley   +1 more source

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