Literature DB >> 8898828

Use of a global test for multiple outcomes in stroke trials with application to the National Institute of Neurological Disorders and Stroke t-PA Stroke Trial.

B C Tilley1, J Marler, N L Geller, M Lu, J Legler, T Brott, P Lyden, J Grotta.   

Abstract

BACKGROUND: The National Institute of Neurological Disorders and Stroke (NINDS) held a workshop on statistical approaches to analysis of acute stroke trials that have multiple pre-specified outcomes. An objective was to plan for statistical analysis of the NINDS t-PA Stroke Trial, a randomized, double-blind, placebo-controlled trial of recombinant tissue plasminogen activator (rt-PA) for patients with acute ischemic stroke. Treatment success was defined as a "consistent and persuasive difference" in the proportion of patients achieving favorable outcomes on the Barthel Index, Modified Rankin Scale, Glasgow Outcome Scale, and National Institutes of Health Stroke Scale. The Data and Safety Monitoring Committee for the trial recommended this outcome because the committee did not believe that a positive result for a single outcome would provide sufficient evidence of efficacy. SUMMARY OF COMMENT: Workshop participants accepted the global test as a viable approach to testing the primary trial hypothesis. Clinician participants advocated categorizing outcomes as favorable/unfavorable, outcomes more clinically meaningful than continuous outcomes for evaluating a drug with potentially serious side effects. They agreed that a global test was appropriate for ischemic stroke when no single outcome is accepted. Hypothetical, special-case examples illustrate that highly correlated outcomes diminish the power of the global test. NINDS t-PA Stroke Trial data demonstrate the clinical interpretability of the global test.
CONCLUSIONS: Workshop participants concluded that a global statistic should be used to test the trial's primary hypothesis accompanied by secondary tests of individual outcomes. Workshop participants recommended familiarizing the clinical/scientific community with the global approach.

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Year:  1996        PMID: 8898828     DOI: 10.1161/01.str.27.11.2136

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  46 in total

1.  What should be defined as good outcome in stroke trials; a modified Rankin score of 0-1 or 0-2?

Authors:  N Weisscher; M Vermeulen; Y B Roos; R J de Haan
Journal:  J Neurol       Date:  2008-03-14       Impact factor: 4.849

2.  A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time.

Authors:  Sheng Luo
Journal:  Stat Med       Date:  2013-09-06       Impact factor: 2.373

Review 3.  Neuroprotection for ischemic stroke: two decades of success and failure.

Authors:  Yu Dennis Cheng; Lama Al-Khoury; Justin A Zivin
Journal:  NeuroRx       Date:  2004-01

Review 4.  Clinical trial design in the neurocritical care unit.

Authors:  C E Hall; M Mirski; Y Y Palesch; M N Diringer; A I Qureshi; C S Robertson; R Geocadin; C A C Wijman; P D Le Roux; Jose I Suarez
Journal:  Neurocrit Care       Date:  2012-02       Impact factor: 3.210

5.  Regression analysis of ordinal stroke clinical trial outcomes: an application to the NINDS t-PA trial.

Authors:  Stacia M Desantis; Christos Lazaridis; Yuko Palesch; Viswanathan Ramakrishnan
Journal:  Int J Stroke       Date:  2013-06-27       Impact factor: 5.266

Review 6.  How to Measure Recovery? Revisiting Concepts and Methods for Stroke Studies.

Authors:  Marc Hommel; Olivier Detante; Isabelle Favre; Emmanuel Touzé; Assia Jaillard
Journal:  Transl Stroke Res       Date:  2016-08-08       Impact factor: 6.829

7.  A randomized trial testing the superiority of a postdischarge care management model for stroke survivors.

Authors:  Kyle Allen; Susan Hazelett; David Jarjoura; Keding Hua; Kathy Wright; Janice Weinhardt; Denise Kropp
Journal:  J Stroke Cerebrovasc Dis       Date:  2009 Nov-Dec       Impact factor: 2.136

8.  Using global statistical tests in long-term Parkinson's disease clinical trials.

Authors:  Peng Huang; Christopher G Goetz; Robert F Woolson; Barbara Tilley; Douglas Kerr; Yuko Palesch; Jordan Elm; Bernard Ravina; Kenneth J Bergmann; Karl Kieburtz
Journal:  Mov Disord       Date:  2009-09-15       Impact factor: 10.338

9.  Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial.

Authors:  Sheng Luo; Andrew B Lawson; Bo He; Jordan J Elm; Barbara C Tilley
Journal:  Stat Methods Med Res       Date:  2012-12-12       Impact factor: 3.021

10.  Use of the Oxford Handicap Scale at hospital discharge to predict Glasgow Outcome Scale at 6 months in patients with traumatic brain injury.

Authors:  Pablo Perel; Phil Edwards; Haleema Shakur; Ian Roberts
Journal:  BMC Med Res Methodol       Date:  2008-11-06       Impact factor: 4.615

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