Timely and reliable evaluation of the effects of interventions: a framework for adaptive meta-analysis (FAME)
Timely and reliable evaluation of the effects of interventions: a framework for adaptive meta-analysis (FAME)
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及时、可靠地评估干预措施的效果：适应性荟萃分析（FAME）框架
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
M. Parmar
中科院分区：
文献类型：
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作者：
J. Tierney;C. Vale;S. Burdett;D. Fisher;L. Rydzewska;M. Parmar
大多数系统性综述是回顾性的，使用来自出版物的汇总数据，这意味着它们可能不可靠，落后于治疗进展，无法影响正在进行的或新的试验。通常，未发表或正在进行的试验的潜在影响在解释结果或确定
更新荟萃分析或需要收集个体参与者数据（IPD）。因此，我们开发了一个自适应荟萃分析框架（FAME），以前瞻性地确定可靠的AD荟萃分析的最早机会。我们使用转移性（M1）和非转移性（M0）前列腺癌敏感性前列腺癌（HSPC）男性患者的两项系统评价来说明FAME。
Most systematic reviews are retrospective and use aggregate data AD) from publications, meaning they can be unreliable, lag behind therapeutic developments and fail to influence ongoing or new trials. Commonly, the potential influence of unpublished or ongoing trials is overlooked when interpreting results, or determining the value of
updating the meta-analysis or need to collect individual participant data (IPD). Therefore, we developed a Framework for Adaptive Metaanalysis (FAME) to determine prospectively the earliest opportunity for reliable AD meta-analysis. We illustrate FAME using two systematic reviews in men with metastatic (M1) and non-metastatic (M0)hormone-sensitive prostate cancer (HSPC).