Results 231 to 240 of about 503,452 (285)

Long‐Term Opioids in Gout: A Matched Cohort Study From the Veterans Health Administration

Arthritis Care &Research, EarlyView.
Objective Though used frequently to treat flare, risk of long‐term opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed long‐term opioids over time.
Lindsay N. Helget, Bryant R. England, Punyasha Roul, Harlan Sayles, Tuhina Neogi, James R. O'Dell, Joshua F. Baker, Ted R. Mikuls   +7 more
wiley   +1 more source

Economic Burden of Rheumatoid Arthritis in Low‐ and Middle‐Income Countries: Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye, Chidozie E. Mbada, Clara T. Fatoye, Faatihah Niyi‐Odumosu, Ushotanefe Useh, Zalmai Hakimi, Francis Fatoye   +6 more
wiley   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Physician Referral Patterns to Physical Therapists for Managing Knee Osteoarthritis: A Retrospective Analysis of Electronic Health Records From an Integrated Health System

Arthritis Care &Research, EarlyView.
Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja, Joel M. Stevans, Gustavo J. Almeida, Clair Smith, Janet K. Freburger   +4 more
wiley   +1 more source

How Confidence in Prior Attitudes, Social Tag Popularity, and Source Credibility Shape Confirmation Bias Toward Antidepressants and Psychotherapy in a Representative German Sample: Randomized Controlled Web-Based Study.

J Med Internet Res, 2019
Schweiger S, Cress U.
europepmc   +1 more source

Repulsive bias in category formation: Beyond confirmation bias

Journal of Vision
Long Ni, Lucas Caceres, Michael S. Landy
openaire   +1 more source

"Assessing the futility of thrombolysis in out-of-hospital cardiac arrest": why resuscitation time bias matters? [PDF]

Scand J Trauma Resusc Emerg Med
Coryn J, Pollet L, Malinverni S.
europepmc   +1 more source

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Confirmation bias

2023
Abstract Starting in the 1960s with Wason’s famous 2-4-6 task, a wealth of data pertaining to confirmation bias has been collected in increasingly realistic experiments addressing specific real-life settings. This led to Nickerson’s widely accepted definition of confirmation bias in 1998, in which Nickerson emphasizes the subconscious ...
openaire   +2 more sources

Confirmation Bias

2016
Abstract This chapter examines confirmation bias, which refers to people’s tendency to attend only to information that agrees with what they already think is true. Confirmation bias is responsible for not only a great deal of denial of scientific evidence but also the actual generation and maintenance of incorrect scientific information.
Sara E. Gorman, Jack M. Gorman
openaire   +1 more source