Aims. The aim of this study was to create artificial intelligence (AI) software with the purpose of providing a second opinion to physicians to support distal radius fracture (DRF) detection, and to compare the accuracy of fracture detection of physicians with and without software support. Methods. The dataset consisted of 26,121 anonymized anterior-posterior (AP) and lateral standard view radiographs of the wrist, with and without
Objectives. The patient-rated wrist evaluation (PRWE) and the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire are patient-reported outcome measures (PROMs) used for clinical and research purposes. Methodological high-quality clinimetric studies that determine the measurement properties of these PROMs when used in patients with a distal radial fracture are lacking. This study aimed to validate the PRWE and DASH in Dutch patients with a displaced distal radial fracture (DRF). Methods. The intraclass correlation coefficient (ICC) was used for test-retest reliability, between PROMs completed twice with a two-week interval at six to eight months after
Patient-reported outcome measures (PROMs) are often used to evaluate the outcome of treatment in patients with distal radial fractures. Which PROM to select is often based on assessment of measurement properties, such as validity and reliability. Measurement properties are assessed in clinimetric studies, and results are often reviewed without considering the methodological quality of these studies. Our aim was to systematically review the methodological quality of clinimetric studies that evaluated measurement properties of PROMs used in patients with distal radial fractures, and to make recommendations for the selection of PROMs based on the level of evidence of each individual measurement property. A systematic literature search was performed in PubMed, EMbase, CINAHL and PsycINFO databases to identify relevant clinimetric studies. Two reviewers independently assessed the methodological quality of the studies on measurement properties, using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. Level of evidence (strong / moderate / limited / lacking) for each measurement property per PROM was determined by combining the methodological quality and the results of the different clinimetric studies.Objectives
Methods