Literature DB >> 10619192

Evaluation of designs for clinical trials of neuroprotective agents in head injury. European Brain Injury Consortium.

S G Machado1, G D Murray, G M Teasdale.   

Abstract

In a study involving the statistical modeling of potential head injury trials, we explore approaches to trial design that could enhance their power to detect treatment-related effects on clinical outcome. The study uses a survey organized by the European Brain Injury Consortium of over 1,000 head-injured patients to characterize the population from which trial participants can be selected. A variety of models are postulated for the effects of "neuroprotective" treatment on outcome, and their interaction with a range of strategies for targeting patients for inclusion in the trial is evaluated. A very simple strategy of targeting patients with an intermediate prognosis was found to allow a reduction in sample size by 30%, with no reduction in statistical power. This paper illustrates an important methodology for studying the characteristics of competing trial designs.

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Year:  1999        PMID: 10619192     DOI: 10.1089/neu.1999.16.1131

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  16 in total

1.  Quality of randomised controlled trials in head injury. Statistical power can be increased.

Authors:  C W Hukkelhoven; E W Steyerberg; A I Maas
Journal:  BMJ       Date:  2000-09-16

Review 2.  Utilisation of pharmacokinetic-pharmacodynamic modelling and simulation in regulatory decision-making.

Authors:  J V Gobburu; P J Marroum
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

3.  Covariate adjustment increased power in randomized controlled trials: an example in traumatic brain injury.

Authors:  Elizabeth L Turner; Pablo Perel; Tim Clayton; Phil Edwards; Adrian V Hernández; Ian Roberts; Haleema Shakur; Ewout W Steyerberg
Journal:  J Clin Epidemiol       Date:  2011-12-09       Impact factor: 6.437

4.  Structural and functional alterations of cerebellum following fluid percussion injury in rats.

Authors:  Jinglu Ai; Elaine Liu; Eugene Park; Andrew J Baker
Journal:  Exp Brain Res       Date:  2006-08-22       Impact factor: 1.972

5.  Predicting Outcome after Pediatric Traumatic Brain Injury by Early Magnetic Resonance Imaging Lesion Location and Volume.

Authors:  Emily Smitherman; Ana Hernandez; Peter L Stavinoha; Rong Huang; Steven G Kernie; Ramon Diaz-Arrastia; Darryl K Miles
Journal:  J Neurotrauma       Date:  2015-06-19       Impact factor: 5.269

6.  Severe head injury and the risk of early death.

Authors:  G R Boto; P A Gómez; J De La Cruz; R D Lobato
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-06-01       Impact factor: 10.154

7.  New considerations in the design of clinical trials for traumatic brain injury.

Authors:  Bob Roozenbeek; Hester F Lingsma; Andrew Ir Maas
Journal:  Clin Investig (Lond)       Date:  2012-02

8.  The influence of enrollment criteria on recruitment and outcome distribution in traumatic brain injury studies: results from the impact study.

Authors:  Bob Roozenbeek; Andrew I R Maas; Anthony Marmarou; Isabella Butcher; Hester F Lingsma; Juan Lu; Gillian S McHugh; Gordon D Murray; Ewout W Steyerberg
Journal:  J Neurotrauma       Date:  2009-07       Impact factor: 5.269

9.  Dosing and safety of cyclosporine in patients with severe brain injury.

Authors:  Jimmi Hatton; Bonnie Rosbolt; Philip Empey; Richard Kryscio; Byron Young
Journal:  J Neurosurg       Date:  2008-10       Impact factor: 5.115

10.  Prediction of two month modified Rankin Scale with an ordinal prediction model in patients with aneurysmal subarachnoid haemorrhage.

Authors:  Roelof Risselada; Hester F Lingsma; Andrew J Molyneux; Richard S C Kerr; Julia Yarnold; Mary Sneade; Ewout W Steyerberg; Miriam C J M Sturkenboom
Journal:  BMC Med Res Methodol       Date:  2010-09-29       Impact factor: 4.615

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