AO Spine-DGOU Osteoporotic Fracture Classification System: Internal Validation by the AO Spine Knowledge Forum Trauma

医学 科恩卡帕 卡帕 可靠性(半导体) 再现性 金标准(测试) 物理疗法 统计的 等级间信度 统计 放射科 评定量表 数学 功率(物理) 物理 几何学 量子力学
作者
Julian Scherer,Andrei Fernandes Joaquim,Alexander R. Vaccaro,Rishi Mugesh Kanna,Mohammad El‐Sharkawi,Masahiko Takahata,Mohamed M. Aly,Gastón Camino-Willhuber,Ulrich Spiegl,F. Cumhur Öner,José A. Canseco,Ratko Yurac,Lorin Michael Benneker,Eugen Cezar Popescu,Richard J. Bransford,Harvinder Singh Chhabra,Frank Kandziora,Marko H. Neva,Klaus J. Schnake
出处
期刊:Global Spine Journal [SAGE]
标识
DOI:10.1177/21925682241288187
摘要

Study Design Cross-sectional survey. Objectives Injury classifications are important tools to identify fracture patterns, guide treatment-decisions and aid to identify optimal treatment plans. The AO Spine-DGOU Osteoporotic Fracture (OF) classification system was developed, and the aim of this study was to assess the reliability of this new classification system. Methods 23 Members of the AO Spine Knowledge Forum Trauma participated in the validation process. Participants were asked to rate 33 cases according to the OF classification at 2 time points, 4 weeks apart (assessment 1 and 2). The kappa statistic (κ) was calculated to assess inter-observer reliability and intra-rater reproducibility. The gold master key for each case was determined by approval of at least 5 out of 7 members of the DGOU. Results A total of 1386 ratings (21 raters) were performed. The overall inter-rater agreement was moderate with a combined kappa statistic for the OF classification of 0.496 in assessment 1 and 0.482 in assessment 2. The combined percentage of correct ratings (compared to gold-standard) in assessment 1 was 71.4% and 67.4% in assessment 2. The average intra-rater reproducibility was substantial (κ = 0.74, median 0.76, range 0.55 to 1.00, SD 0.13) for the assessed fracture types. Conclusions The assessed overall inter-rater reliability was moderate and substantial in some instances. The average intra-rater reproducibility is substantial. It seems that appropriate training of the classification system can enhance inter- and intra-rater reliability.
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