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拓展医学检验系统评价的主题与构建结构:PICOTS、分析框架、决策树及其他框架的效用

Developing the Topic and Structuring Systematic Reviews of Medical Tests: Utility of PICOTS, Analytic Frameworks, Decision Trees, and Other Frameworks

作者信息

Samson David, Schoelles Karen M

机构信息

Blue Cross and Blue Shield Association

ECRI Institute Health Technology Assessment Group

Abstract

Topic development and structuring a systematic review of diagnostic tests are complementary processes. The goals of a medical test review are: to identify and synthesize evidence to evaluate the impacts of alternative testing strategies on health outcomes and to promote informed decisionmaking. A common challenge is that the request for a review may state the claim for the test ambiguously. Due to the indirect impact of medical tests on clinical outcomes, reviewers need to identify which intermediate outcomes link a medical test to improved clinical outcomes. In this paper, we propose the use of five principles to deal with challenges: the PICOTS typology (atient population, ntervention, omparator, utcomes, iming, etting), analytic frameworks, simple decision trees, other organizing frameworks, and rules for when diagnostic accuracy is sufficient.

摘要

主题发展与构建诊断性试验的系统评价是相辅相成的过程。医学试验评价的目标是:识别并综合证据,以评估替代检测策略对健康结果的影响,并促进明智的决策。一个常见的挑战是,评价请求可能对该试验的主张表述模糊。由于医学试验对临床结果有间接影响,评价者需要确定哪些中间结果将医学试验与改善的临床结果联系起来。在本文中,我们提出使用五项原则来应对挑战:PICOTS类型(患者人群、干预措施、对照、结局、时间、环境)、分析框架、简单决策树、其他组织框架以及诊断准确性何时足够的规则。

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