A B Ramos-Hryb, Z Bahor, S McCann, E Sena, M R MacLeod, C Lino de Oliveira
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In addition, this protocol will help to determine the effect sizes (ES) for primary and secondary outcomes according to several aspects of the FST study design.</p><p><strong>Search strategy screening annotation data management: </strong>Publications reporting studies testing different classes of antidepressants in FST will be collected from Medline, SCOPUS and Web of Science databases. A broad list of inclusion criteria will be applied excluding those studies whereby FST is used as a stressor or studies reporting data from co-treatments. For assessing the quality of the included publications, the quality checklist adapted by Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies will be used. If the meta-analysis seems feasible, the ES and the 95% CI will be analysed. The heterogeneity between studies will be assessed by using the χ<sup>2</sup>statistic with n-1 degrees of freedom. Subgroup meta-analysis (meta-regression, and if necessary, stratified regression) will be performed when possible according to characteristics of study design and study quality to assess their impact on efficacy of the treatments. In addition, funnel plotting, Egger regression, and 'trim and fill' will be used to assess the risk of publication bias. Results of this protocol will help to create rational methodological guidelines for application of FST in rodents and improve the quality and translational value of preclinical research on antidepressant discovery.</p><p><strong>Reporting: </strong>A preliminary version of the present protocol has been preregistered with Systematic Review Facility (http://syrf.org.uk/). A preprint version of the current protocol has been registered with Open Science Framework (https://osf.io/9kxm4/). Results will be communicated in scientific meetings and peer-reviewed journals. 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引用次数: 0
摘要
目的:啮齿动物强迫游泳试验(FST)是临床前研究中筛选抗抑郁药物的一种广泛使用的行为试验。临床前研究的转化价值可通过对实验设计质量和偏倚风险的评估来提高,而 FST 的这一问题仍有待解决。本荟萃分析系统综述方案旨在调查采用 FST 的临床前研究的质量,以识别未来出版物中的偏倚风险。此外,该方案还有助于根据 FST 研究设计的几个方面确定主要和次要结果的效应大小 (ES):将从 Medline、SCOPUS 和 Web of Science 数据库中收集报告在 FST 中测试不同类别抗抑郁药研究的文献。将采用广泛的纳入标准清单,排除那些将 FST 用作压力源的研究或报告联合治疗数据的研究。在评估所收录出版物的质量时,将使用 "实验研究中动物数据的荟萃分析和回顾协作方法 "所改编的质量核对表。如果荟萃分析似乎可行,将对 ES 和 95% CI 进行分析。研究之间的异质性将使用 n-1 自由度的 χ2 统计量进行评估。在可能的情况下,将根据研究设计和研究质量的特点进行分组荟萃分析(荟萃回归,必要时进行分层回归),以评估其对疗效的影响。此外,还将使用漏斗图法、Egger 回归法和 "修剪和填充 "法来评估发表偏倚的风险。本方案的结果将有助于为在啮齿类动物中应用 FST 制定合理的方法指南,并提高抗抑郁药物临床前研究的质量和转化价值:本研究方案的初稿已在系统综述机构(Systematic Review Facility)(http://syrf.org.uk/)预先注册。本研究方案的预印本已在开放科学框架 (https://osf.io/9kxm4/) 上注册。研究结果将在科学会议和同行评审期刊上公布。我们计划在科学界开展匿名在线调查,询问研究人员对偏倚风险的看法以及发表负面结果的经验。
Protocol for a systematic review and meta-analysis of data from preclinical studies employing forced swimming test: an update.
Objective: Forced swimming test (FST) in rodents is a widely used behavioural test for screening antidepressants in preclinical research. Translational value of preclinical studies may be improved by appraisal of the quality of experimental design and risk of biases, which remains to be addressed for FST. The present protocol of a systematic review with meta-analysis aims to investigate the quality of preclinical studies employing FST to identify risks of bias in future publications. In addition, this protocol will help to determine the effect sizes (ES) for primary and secondary outcomes according to several aspects of the FST study design.
Search strategy screening annotation data management: Publications reporting studies testing different classes of antidepressants in FST will be collected from Medline, SCOPUS and Web of Science databases. A broad list of inclusion criteria will be applied excluding those studies whereby FST is used as a stressor or studies reporting data from co-treatments. For assessing the quality of the included publications, the quality checklist adapted by Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies will be used. If the meta-analysis seems feasible, the ES and the 95% CI will be analysed. The heterogeneity between studies will be assessed by using the χ2statistic with n-1 degrees of freedom. Subgroup meta-analysis (meta-regression, and if necessary, stratified regression) will be performed when possible according to characteristics of study design and study quality to assess their impact on efficacy of the treatments. In addition, funnel plotting, Egger regression, and 'trim and fill' will be used to assess the risk of publication bias. Results of this protocol will help to create rational methodological guidelines for application of FST in rodents and improve the quality and translational value of preclinical research on antidepressant discovery.
Reporting: A preliminary version of the present protocol has been preregistered with Systematic Review Facility (http://syrf.org.uk/). A preprint version of the current protocol has been registered with Open Science Framework (https://osf.io/9kxm4/). Results will be communicated in scientific meetings and peer-reviewed journals. We plan to conduct an anonymous and online survey within the scientific community to ask researchers about their perception of risk of bias and their experience with the publication of negative results.