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Minimal sufficient balance randomization for sequential randomized controlled trial designs: results from the ESCAPE trial

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Title
Minimal sufficient balance randomization for sequential randomized controlled trial designs: results from the ESCAPE trial
Published in
Trials, November 2017
DOI 10.1186/s13063-017-2264-1
Pubmed ID
Authors

Tolulope T. Sajobi, Gurbakhshash Singh, Mark W. Lowerison, Jordan Engbers, Bijoy K. Menon, Andrew M. Demchuk, Mayank Goyal, Michael D. Hill

Abstract

We describe the implementation of minimal sufficient balance randomization, a covariate-adaptive randomization technique, used for the "Endovascular treatment for Small Core and Anterior circulation Proximal occlusion with Emphasis on minimizing CT to recanalization times" (ESCAPE) trial. The ESCAPE trial is a prospective, multicenter, randomized clinical trial that enrolled subjects with the following main inclusion criteria: less than 12 h from symptom onset, age 18 years or older, baseline NIHSS score > 5, ASPECTS score > 5 and computed tomography angiography (CTA) evidence of carotid T/L or M1-segment middle cerebral artery (MCA) occlusion, and at least moderate collaterals by CTA. Patients were randomized using a real-time, dynamic, Internet-based, minimal sufficient balance randomization method that balanced the study arms with respect to baseline covariates including age, sex, baseline NIHSS score, site of arterial occlusion, baseline ASPECTS score and treatment with intravenously administered alteplase. Permutation-based tests of group differences confirmed group balance across several baseline covariates including sex (p = 1.00), baseline NIHSS score (p = 0.95), site of arterial occlusion (p = 1.00), baseline ASPECTS score (p = 0.28), treatment with intravenously administered alteplase (p = 0.31), and age (p = 0.67). Results from the ESCAPE trial demonstrate the feasibility and the benefit of this covariate adaptive randomization scheme in small-sample trials and for data monitoring endeavors. ESCAPE trial - NCT01778335 - at www.clinicaltrials.gov . Registered on 29 January 2013.

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Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Ph. D. Student 10 14%
Student > Bachelor 9 13%
Student > Doctoral Student 6 8%
Other 3 4%
Other 10 14%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 23 32%
Nursing and Health Professions 4 6%
Sports and Recreations 4 6%
Psychology 3 4%
Neuroscience 3 4%
Other 6 8%
Unknown 28 39%