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Publication bias as a function of study characteristics.发表偏倚的研究特征函数。
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系统评价中的定量共识:转化科学的当前与未来挑战

Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science.

作者信息

Chiappelli Francesco, Kasar Vandan R, Balenton Nicole, Khakshooy Allen

机构信息

Laboratory of Human Psychoneuroendocrine-Osteoimmunology; School of Dentistry, UCLA Center for the Health Sciences, Los Angeles, CA 90095-1668.

Evidence-Based Decision Practice-Based Research Network, DGSO, Los Angeles, CA 91403.

出版信息

Bioinformation. 2018 Feb 28;14(2):86-92. doi: 10.6026/97320630014086. eCollection 2018.

DOI:10.6026/97320630014086
PMID:29618905
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5879943/
Abstract

Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, which emerge from research synthesis protocols in comparative effectiveness research that are disseminated in systematic reviews. Systematic reviews produce qualitative and quantitative consensi of the best available evidence. The quantitative consensus is derived from meta-analysis protocols that are often achieved by probabilistic approach Bayesian statistical models.

摘要

转化科学将医疗保健概念化为一系列协同的过程,这些过程整合了从实验室到临床的研究成果。这种医疗保健模式以有效性为重点、以患者为中心且基于证据,并产生基于证据的对实践指南的修订,这些修订源于比较效果研究中的研究综合方案,并在系统评价中传播。系统评价产生关于现有最佳证据的定性和定量共识。定量共识来自荟萃分析方案,这些方案通常通过概率方法贝叶斯统计模型来实现。