バイオメディカルサイエンスにおける勝利比率: 図書測定分析

Zhenyu Li^1,2, Aliya Izumi², Dominique Vervoort^3,4

¹Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

CJC open

|September 2, 2025

まとめ

ウィン比 (Win Ratio, WR) は,複合結果を分析するために,生物医学研究においてますます使用されています. 臨床的に重要なイベントの優先順位を決めるのに重要な成長と適応性を示しています.

科学分野:

バイオ統計学
臨床試験の方法論
健康に関する研究

背景:

勝利比 (WR) は,臨床的に重要な出来事を優先して,階層的な複合結果を分析するための方法を提供します.
心血管試験以外での応用はほとんど未調査のままである.
この研究は,生物医学研究におけるWR採用の傾向と特徴を調査しています.

研究の目的:

生物医学研究における勝利比率 (WR) の利用の傾向を分析する.
WRメソドロジーを用いた研究の特徴を特定する.
心血管研究における従来の使用を超えて WR の採用を評価する.

主な方法:

Web of ScienceとPubMed (2012-2024) でインデックスされた生物医学記事の図書館解析.
データ抽出には,文献数値と内容の詳細が含まれていました.
統計的分析には記述的統計,相関,線形回帰が含まれていた.

主要な成果:

WRの出版は年間30.2%の複合成長率で著しく増加した.
ランダム化対照試験は,大部分の研究 (82. 9%) を構成し,心臓病は67. 6% であった.
匹敵しないWRは主たるアプローチ (69. 5%) であり,死亡率は最も頻繁な主要なアウトカム (67. 1%) であった.

結論:

win ratio (WR) は,特に心血管研究において,複合エンドポイントを分析するための堅実な方法として認識されています.
その適応性と臨床的に重要な結果に焦点を当てることは,より広範な生物医学的な応用の可能性を示唆しています.
さらなる研究により,様々な科学分野における WR 実施の課題とベストプラクティスを探すことができます.

キーワード:

参考文献分析心臓病科臨床試験統計について勝率

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