JPRN-UMIN000039111已完成未知
Evaluating the relationship between industry sponsorship and conflicts of interest among systematic review authors on pharmacological therapies for alcohol use disorder and the nature of results and conclusions of these reviews - AUD-FCOI
Oklahoma State University Center for Health Sciences0 个研究点目标入组 50 人开始时间: 2020年1月10日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 50
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Others,meta-analysis etc
入排标准
- 年龄范围
- 18years-old 至 90years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Eligibility Criteria: To be included in our study, the study design must be a systematic review and or meta-analysis. We will use the PRISMA P deNAfinition of a systematic review meta-analysis, which states that a systematic review is a systematic review is a review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant research, and to collect and analyze data from the studies that are included in the review. Statistical methods (meta-analysis) may or may not be used to analyze and summarize the results of the included studies. Meta-analysis refers to the use of statistical techniques in a systematic review to integrate the results of included studies. 1. Furthermore, studies will be included if they compare at least one pharmacologic therapy to another (or in combination) or if they compare a pharmacologic therapy to an nonpharmacologic therapy, such as verbal alcoholism therapy. We will include all pharmacologic therapies, regardless of whether they are indicated for treatment of AUD (acamprosate, naltrexone, and disulfiram) or whether they are used off label. We will include studies along the following stages of progression: (i) stabilization following excessive use of alcohol, (ii) relapse prevention, or (iii) recovery maintenance. Furthermore, to qualify for inclusion, systematic reviews must have been published between September of 2016 and December of 2019. Only systematic reviews published in English and reviews that synthesize studies of human or animal data will be included.
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