协议(科学)
医学
中医药
肺病
芯(光纤)
集合(抽象数据类型)
结果(博弈论)
治疗方案
疾病
重症监护医学
内科学
计算机科学
替代医学
病理
数学
数理经济学
程序设计语言
电信
作者
Bohan Niu,Mingyan Zhang,Hui Zi Chua,Kai Li,Junhua Zhang
摘要
Treatment of chronic pulmonary heart disease (CPHD), a common disease, has over recent years been studied using traditional Chinese medicine (TCM) due to many high-profile benefits. These can be evaluated by the measurement and analysis of related outcomes. Because of selective reporting bias and the heterogeneity of study outcomes, it is not possible to combine similar studies in a meta-analysis. Consequently, not only does the low quality of original studies fails to support evidence-based decision-making, but also the value of those clinical studies cannot be evaluated. To solve these problems, the development of a core outcome set for traditional Chinese medicines for the treatment of chronic pulmonary heart disease (COS-TCM-CPHD) is required.The development is conducted in five steps: (1) a library of outcomes through systematic review, the retrieval of libraries from two clinical trials registries, and semistructured interviews is established; (2) following data extraction and analysis of the library of outcomes, each outcome can be classified into seven outcome domains, including TCM disease, symptoms/signs, physical and chemical testing, quality of life, long-term prognosis, economic evaluation, and adverse events to form a preliminary list of outcomes; (3) stakeholder groups for participation are selected; (4) stakeholder groups are invited to participate in two rounds of Delphi surveys to score outcomes and provide additional outcomes; (5) a consensus meeting is organized to produce the final COS-TCM-CPHD. Discussion. The protocol is consistent with the guidelines defined by the Core Outcome Set-STAndardised Protocol (COS-STAP) statement and formulated with reference to Core Outcome Set-STAndards for development (COS-STAD). The COS-TCM-CPHD will improve the consistency of study reports and reduce publication bias, thereby improving the quality of TCM clinical trials and decision-making for evidence-based medicine. The study has been registered on the COMET website (http://www.comet-initiative.org/Studies/Details/1677).
科研通智能强力驱动
Strongly Powered by AbleSci AI