Control intervention design for preclinical and clinical trials: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

被引:2
作者
Hayward, Kathryn S. [1 ]
Dalton, Emily J. [1 ]
Barth, Jessica [2 ]
Brady, Marian [3 ]
Cherney, Leora R. [4 ]
Churilov, Leonid [1 ]
Clarkson, Andrew N. [5 ]
Dawson, Jesse [6 ]
Dukelow, Sean P. [7 ]
Feys, Peter [8 ]
Hackett, Maree [9 ]
Zeiler, Steve R. [10 ]
Lang, Catherine E. [11 ]
机构
[1] Univ Melbourne, Melbourne, Vic, Australia
[2] Providence VA Med Ctr, Providence, RI USA
[3] Glasgow Caledonian Univ, Glasgow, Lanark, Scotland
[4] Shirley Ryan AbilityLab, Chicago, IL USA
[5] Univ Otago, Dunedin, New Zealand
[6] Univ Glasgow, Glasgow, Lanark, Scotland
[7] Univ Calgary, Calgary, AB, Canada
[8] Reval Univ Hasselt, Hasselt, Belgium
[9] Univ New South Wales, Sydney, NSW, Australia
[10] Johns Hopkins Univ, Baltimore, MD USA
[11] Washington Univ, Sch Med, St Louis, MO USA
基金
澳大利亚国家健康与医学研究理事会;
关键词
Clinical trial; control; preclinical; stroke; rehabilitation; recovery; consensus;
D O I
10.1177/15459683231209162
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Control comparator selection is a critical trial design issue. Preclinical and clinical investigators who are doing trials of stroke recovery and rehabilitation interventions must carefully consider the appropriateness and relevance of their chosen control comparator as the benefit of an experimental intervention is established relative to a comparator. Establishing a strong rationale for a selected comparator improves the integrity of the trial and validity of its findings. This Stroke Recovery and Rehabilitation Roundtable (SRRR) taskforce used a graph theory voting system to rank the importance and ease of addressing challenges during control comparator design. "Identifying appropriate type of control" was ranked easy to address and very important, "variability in usual care" was ranked hard to address and of low importance, and "understanding the content of the control and how it differs from the experimental intervention" was ranked very important but not easy to address. The CONtrol DeSIGN (CONSIGN) decision support tool was developed to address the identified challenges and enhance comparator selection, description, and reporting. CONSIGN is a web-based tool inclusive of seven steps that guide the user through control comparator design. The tool was refined through multiple rounds of pilot testing that included more than 130 people working in neurorehabilitation research. Four hypothetical exemplar trials, which span preclinical, mood, aphasia, and motor recovery, demonstrate how the tool can be applied in practice. Six consensus recommendations are defined that span research domains, professional disciplines, and international borders.
引用
收藏
页码:30 / 40
页数:11
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