207 Bayesian revolution in stroke research – a four-arm hypothetical study for neuro- protection in the hyperacute stage

Background and AimsThe treatment of acute ischemic stroke (AIS) still has multiple equipoises and the current time-consuming and inefficient process of clinical translation is a major hindrance. Bayesian approaches offer an alternative method that can accelerate the development of novel treatments....

Full description

Saved in:
Bibliographic Details
Published inJournal of neurology, neurosurgery and psychiatry Vol. 93; no. 9; p. e2
Main Authors Das, Abhijit, Chatterjee, Somenath, Sekhar, Alakendu
Format Journal Article
LanguageEnglish
Published London BMJ Publishing Group Ltd 01.09.2022
BMJ Publishing Group LTD
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Background and AimsThe treatment of acute ischemic stroke (AIS) still has multiple equipoises and the current time-consuming and inefficient process of clinical translation is a major hindrance. Bayesian approaches offer an alternative method that can accelerate the development of novel treatments. These designs allow multiple treatment options to be tested simultaneously and these features significantly reduce sample size and allow for faster and more efficient clinical translation. Unfortunately, unlike other fields, Stroke researchers are yet to adopt these methodologies.MethodsWe propose the “leapfrog design” to evaluate multiple treatments simultaneously. This allows continual treatment improvement and finding one or more treatments that are better than the current ‘gold standard’ which is accomplished by allowing replacement of the comparison arm (the arm against which all other arms are compared) by new treatment arms that achieve a prespecified threshold for demonstrating superiority. For the hypothetical study we simulated a 4-arm study involving – a) Nerinetide b) TRPM7 c) SRC-ND2 and d) uric acid in patients undergoing thrombectomy. We used the BFDA – an R package for Bayes factor (BF) design analysis.ResultsWe chose Cohen’s d = 0.4, as in early stage of development, with a BFfail of 1/4, and BFsuccess of 5. The Nmin and Nmax were found much smaller than traditional RCT numbers.ConclusionsThis will be a much-needed paradigm shift for further progress in stroke research beyond current equipoises.
Bibliography:Poster presentations
ISSN:0022-3050
1468-330X
DOI:10.1136/jnnp-2022-abn2.251