Literature DB >> 20129504

IMPACT recommendations for improving the design and analysis of clinical trials in moderate to severe traumatic brain injury.

Andrew I R Maas1, Ewout W Steyerberg, Anthony Marmarou, Gillian S McHugh, Hester F Lingsma, Isabella Butcher, Juan Lu, James Weir, Bob Roozenbeek, Gordon D Murray.   

Abstract

Clinical trials in traumatic brain injury (TBI) pose complex methodological challenges, largely related to the heterogeneity of the population. The International Mission on Prognosis and Clinical Trial Design in TBI study group has explored approaches for dealing with this heterogeneity with the aim to optimize clinical trials in TBI. Extensive prognostic analyses and simulation studies were conducted on individual patient data from eight trials and three observational studies. Here, we integrate the results of these studies into the International Mission on Prognosis and Clinical Trial Design in TBI recommendations for design and analysis of trials in TBI: Details of the major baseline prognostic characteristics should be provided in every report on a TBI study; in trials they should be differentiated per treatment group. We also advocate the reporting of the baseline prognostic risk as determined by validated prognostic models. Inclusion criteria should be as broad as is compatible with the current understanding of the mechanisms of action of the intervention being evaluated. This will maximize recruitment rates and enhance the generalizability of the results. The statistical analysis should incorporate prespecified covariate adjustment to mitigate the effects of the heterogeneity. The statistical analysis should use an ordinal approach, based on either sliding dichotomy or proportional odds methodology. Broad inclusion criteria, prespecified covariate adjustment, and an ordinal analysis will promote an efficient trial, yielding gains in statistical efficiency of more than 40%. This corresponds to being able to detect a 7% treatment effect with the same number of patients needed to demonstrate a 10% difference with an unadjusted analysis based on the dichotomized Glasgow outcome scale. Copyright 2010 The American Society for Experimental NeuroTherapeutics, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20129504      PMCID: PMC5084119          DOI: 10.1016/j.nurt.2009.10.020

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  31 in total

1.  Validation and updating of predictive logistic regression models: a study on sample size and shrinkage.

Authors:  Ewout W Steyerberg; Gerard J J M Borsboom; Hans C van Houwelingen; Marinus J C Eijkemans; J Dik F Habbema
Journal:  Stat Med       Date:  2004-08-30       Impact factor: 2.373

2.  Prognostic value of the Glasgow Coma Scale and pupil reactivity in traumatic brain injury assessed pre-hospital and on enrollment: an IMPACT analysis.

Authors:  Anthony Marmarou; Juan Lu; Isabella Butcher; Gillian S McHugh; Gordon D Murray; Ewout W Steyerberg; Nino A Mushkudiani; Sung Choi; Andrew I R Maas
Journal:  J Neurotrauma       Date:  2007-02       Impact factor: 5.269

3.  Prognostic value of admission laboratory parameters in traumatic brain injury: results from the IMPACT study.

Authors:  Jackelien G M Van Beek; Nino A Mushkudiani; Ewout W Steyerberg; Isabella Butcher; Gillian S McHugh; Juan Lu; Anthony Marmarou; Gordon D Murray; Andrew I R Maas
Journal:  J Neurotrauma       Date:  2007-02       Impact factor: 5.269

4.  Prognostic value of computerized tomography scan characteristics in traumatic brain injury: results from the IMPACT study.

Authors:  Andrew I R Maas; Ewout W Steyerberg; Isabella Butcher; Ruben Dammers; Juan Lu; Anthony Marmarou; Nino A Mushkudiani; Gillian S McHugh; Gordon D Murray
Journal:  J Neurotrauma       Date:  2007-02       Impact factor: 5.269

5.  Clinical trials in acute myocardial infarction: should we adjust for baseline characteristics?

Authors:  E W Steyerberg; P M Bossuyt; K L Lee
Journal:  Am Heart J       Date:  2000-05       Impact factor: 4.749

6.  Misclassification and treatment effect on primary outcome measures in clinical trials of severe neurotrauma.

Authors:  Sung C Choi; Guy L Clifton; Anthony Marmarou; Emmy R Miller
Journal:  J Neurotrauma       Date:  2002-01       Impact factor: 5.269

7.  Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients.

Authors:  Pablo Perel; Miguel Arango; Tim Clayton; Phil Edwards; Edward Komolafe; Stuart Poccock; Ian Roberts; Haleema Shakur; Ewout Steyerberg; Surakrant Yutthakasemsunt
Journal:  BMJ       Date:  2008-02-12

8.  Classification of traumatic brain injury for targeted therapies.

Authors:  Kathryn E Saatman; Ann-Christine Duhaime; Ross Bullock; Andrew I R Maas; Alex Valadka; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2008-07       Impact factor: 5.269

Review 9.  Systematic review of prognostic models in traumatic brain injury.

Authors:  Pablo Perel; Phil Edwards; Reinhard Wentz; Ian Roberts
Journal:  BMC Med Inform Decis Mak       Date:  2006-11-14       Impact factor: 2.796

10.  Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.

Authors:  Ewout W Steyerberg; Nino Mushkudiani; Pablo Perel; Isabella Butcher; Juan Lu; Gillian S McHugh; Gordon D Murray; Anthony Marmarou; Ian Roberts; J Dik F Habbema; Andrew I R Maas
Journal:  PLoS Med       Date:  2008-08-05       Impact factor: 11.069

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  53 in total

1.  Does the extended Glasgow Outcome Scale add value to the conventional Glasgow Outcome Scale?

Authors:  James Weir; Ewout W Steyerberg; Isabella Butcher; Juan Lu; Hester F Lingsma; Gillian S McHugh; Bob Roozenbeek; Andrew I R Maas; Gordon D Murray
Journal:  J Neurotrauma       Date:  2012-01-01       Impact factor: 5.269

Review 2.  Neuroprotection for traumatic brain injury: translational challenges and emerging therapeutic strategies.

Authors:  David J Loane; Alan I Faden
Journal:  Trends Pharmacol Sci       Date:  2010-10-29       Impact factor: 14.819

3.  Brain-Spleen Inflammatory Coupling: A Literature Review.

Authors:  J Rasouli; R Lekhraj; M Ozbalik; P Lalezari; D Casper
Journal:  Einstein J Biol Med       Date:  2011

4.  A Configurational Analysis of Risk Patterns for Predicting the Outcome After Traumatic Brain Injury.

Authors:  Niku Gorji; Zsolt Zador; Simon Poon
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Association of a common genetic variant within ANKK1 with six-month cognitive performance after traumatic brain injury.

Authors:  John K Yue; Angela M Pronger; Adam R Ferguson; Nancy R Temkin; Sourabh Sharma; Jonathan Rosand; Marco D Sorani; Thomas W McAllister; Jason Barber; Ethan A Winkler; Esteban G Burchard; Donglei Hu; Hester F Lingsma; Shelly R Cooper; Ava M Puccio; David O Okonkwo; Ramon Diaz-Arrastia; Geoffrey T Manley
Journal:  Neurogenetics       Date:  2015-01-30       Impact factor: 2.660

6.  Predicting outcome after traumatic brain injury: development of prognostic scores based on the IMPACT and the APACHE II.

Authors:  Rahul Raj; Jari Siironen; Riku Kivisaari; Juha Hernesniemi; Markus B Skrifvars
Journal:  J Neurotrauma       Date:  2014-08-12       Impact factor: 5.269

7.  Glasgow Outcome Scale Measures and Impact on Analysis and Results of a Randomized Clinical Trial of Severe Traumatic Brain Injury.

Authors:  Jose-Miguel Yamal; H Julia Hannay; Shankar Gopinath; Imoigele P Aisiku; Julia S Benoit; Claudia S Robertson
Journal:  J Neurotrauma       Date:  2019-05-23       Impact factor: 5.269

Review 8.  Animal models of traumatic brain injury.

Authors:  Ye Xiong; Asim Mahmood; Michael Chopp
Journal:  Nat Rev Neurosci       Date:  2013-02       Impact factor: 34.870

9.  Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury.

Authors:  Esther L Yuh; Pratik Mukherjee; Hester F Lingsma; John K Yue; Adam R Ferguson; Wayne A Gordon; Alex B Valadka; David M Schnyer; David O Okonkwo; Andrew I R Maas; Geoffrey T Manley
Journal:  Ann Neurol       Date:  2012-12-07       Impact factor: 10.422

10.  Standardisation of data collection in traumatic brain injury: key to the future?

Authors:  Andrew I R Maas
Journal:  Crit Care       Date:  2009-12-16       Impact factor: 9.097

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