Can even experienced orthopaedic surgeons predict who will benefit from surgery when patients present with degenerative meniscal tears? A survey of 194 orthopaedic surgeons who made 3880 predictions.

この研究はインパクトが大きい可能性があると判断されました。 OEのAIによるハイインパクト指標は、論文が掲載されたジャーナルと論文自体の科学的内容の両方からのシグナルを統合することで、論文の影響力を推定します。 最先端の自然言語処理を用いて開発されたOEハイインパクトモデルは、ジャーナルのインパクトファクターのみよりも、研究の将来の引用実績をより正確に予測します。 これにより、臨床的に意義のある研究をより早く認識することができ、読者は将来の診療を形成する可能性が最も高い論文に焦点を当てることができます。

研究概要

One hundred and ninety-four orthopaedic surgeons and residents from the Netherlands and Australia were included in this survey investigating their ability to determine whether patients with non-obstructive degenerative meniscal tears were good candidates for an arthroscopic partial meniscectomy or non-surgical treatment with exercise therapy. The primary outcome of interest was the rate of correct predictions, measured using the 5 point Likert scale (patients scoring 4-5 were considered successful treatment respondents). Secondary outcomes of interest included the ratio of treatment choice between arthroscopic partial meniscectomy and exercise therapy, and the difference in prediction rate between experienced surgeons and other surgeons. Results revealed that 50% of predictions were correct. No significant difference in prediction rate was observed between experienced knee surgeons and other surgeons. 21.6% of surgeons chose surgery and 78.4% of surgeons chose exercise therapy as the preferred treatment.