标题图:用于在网络证据中对干预措施进行排名的新型图形.
Chiehfeng Chen1,2,3,4, Yu-Chieh Chuang5,6, Edwin Shih-Yen Chan7,8,9
1Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan.
一个新的"珠子图"从网络元分析中视觉总结了复杂的治疗排名. 这种图形工具有助于临床医生和患者理解多种结局的治疗有效性和安全性.
科学领域:
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
- 临床流行病学临床流行病学
背景情况:
- 网络元分析 (NMA) 综合了多种治疗比较的证据,对于临床决策至关重要.
- 对于医疗保健提供者和患者来说,NMA的复杂性可能具有挑战性.
- 需要有效的可视化来呈现NMAs复杂的治疗排名.
研究的目的:
- 引入一种新的图形设计,即"珠子图",用于在网络元分析中全面展示复杂的治疗排名.
- 提高NMA结果的可解释性,用于临床决策.
主要方法:
- 开发了"珠子图"可视化工具.
- 使用在CRAN上可用的"rankinma" R包实现珠子图谱.
- △PlotBead () 函数生成珠子图,总结各种结果的治疗排名.
主要成果:
- 珠子图有效地显示每个处理的集体指标 (例如,最佳处理的概率 (P-best),累计排名曲线下的面积 (SUCRA),P-score).
- 视觉表示使用数字线图,用颜色编码的珠子来表示治疗方法和连续的线来表示结果.
- 治疗排名是根据总结指标在y轴上排序的.
结论:
- 珠子图为复杂网络元分析中的治疗排名提供了直观的可视化.
- 提高了读者友好性,并帮助临床医生和患者确定最佳治疗方法.
- 建议谨慎使用,同时评估整体证据确定性.
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