方法选择和纳入标准对网络元分析对牛皮病结果的影响
R Guelimi1,2, S Afach3, V Chiocchia4
1EpiDermE, Université Paris Est Créteil, Créteil, France. robin.guelimi@gmail.com.
BMC medical research methodology
|April 24, 2025
概括
网络元分析 (NMA) 的结果可以根据方法选择而有所不同. 然而,对于牛皮治疗的治疗排名在不同分析中保持一致,确保可靠的结论.
科学领域:
- 医学研究 医学研究
- 生物统计学 生物统计学
- 皮肤病学 皮肤病学
背景情况:
- 网络元分析 (NMA) 涉及影响结果的关键方法和分析决策.
- 评估这些选择的影响对于可靠的NMA结论至关重要,特别是在像牛皮这样的复杂治疗领域.
研究的目的:
- 评估各种方法和分析决策对网络元分析 (NMA) 结果的影响.
- 为了评估不同的选择如何影响20个活跃的系统性治疗的治疗结论在牛皮患者.
主要方法:
- 重新分析一个活着的科克兰网络元分析 (NMA) 关于牛皮的全身治疗方法.
- 在三个结局方面进行了560次NMA:牛皮区域严重性指数 (PASI) 90,PASI 100和严重不良事件 (SAE).
- 使用相对风险比率 (RRR) 和几率比率 (ROR) 进行评估的变量;通过平均重叠 (AO) 测量治疗等级协议.
主要成果:
- 方法的选择,比如包括生物素的患者或II期试验,显著影响了效果估计.
- 曼特-汉泽尔方法对结果的影响比逆方差方法更大.
- 尽管效果估计略有变化,但治疗层次结构在分析中显示出很高的一致性 (PASI 90的中位数AO为0.84).
结论:
- 网络元分析 (NMA) 中不同的方法选择可以影响结果.
- 顶级牛皮药物的治疗等级保持稳定,这表明尽管分析差异,结论是强有力的.
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