scholarly journals Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis

PLoS ONE ◽  
2016 ◽  
Vol 11 (7) ◽  
pp. e0158762 ◽  
Author(s):  
Zsolt Zador ◽  
Matthew Sperrin ◽  
Andrew T. King
2012 ◽  
Vol 73 ◽  
pp. S248-S253 ◽  
Author(s):  
Tara Rhine ◽  
Shari L. Wade ◽  
Kathi L. Makoroff ◽  
Amy Cassedy ◽  
Linda J. Michaud

2014 ◽  
Vol 31 (11) ◽  
pp. 1039-1045 ◽  
Author(s):  
Hung-Chen Wang ◽  
Yu-Jun Lin ◽  
Nai-Wen Tsai ◽  
Ben Yu-Jih Su ◽  
Chia-Te Kung ◽  
...  

2018 ◽  
Vol 38 (5) ◽  
pp. 749-754 ◽  
Author(s):  
Olivia Kiwanuka ◽  
Bo-Michael Bellander ◽  
Anders Hånell

When evaluating the design of pre-clinical studies in the field of traumatic brain injury, we found substantial differences compared to phase III clinical trials, which in part may explain the difficulties in translating promising experimental drugs into approved treatments. By using network analysis, we also found cases where a large proportion of the studies evaluating a pre-clinical treatment was performed by inter-related researchers, which is potentially problematic. Subjecting all pre-clinical trials to the rigor of a phase III clinical trial is, however, likely not practically achievable. Instead, we repeat the call for a distinction to be made between exploratory and confirmatory pre-clinical studies.


Brain Injury ◽  
2013 ◽  
Vol 28 (3) ◽  
pp. 336-340 ◽  
Author(s):  
Rajiv Singh ◽  
Guru Venkateshwara ◽  
Krishnan P. S. Nair ◽  
Muhammed Khan ◽  
Rafat Saad

2015 ◽  
Vol 19 ◽  
pp. S54
Author(s):  
A. Tulloch ◽  
D.R. Anwar ◽  
C. Lee ◽  
A. Newton ◽  
A. Hughes ◽  
...  

2019 ◽  
Vol 161 (12) ◽  
pp. 2467-2478 ◽  
Author(s):  
Matias Lindfors ◽  
Caroline Lindblad ◽  
David W. Nelson ◽  
Bo-Michael Bellander ◽  
Jari Siironen ◽  
...  

Abstract Background The prognosis of penetrating traumatic brain injury (pTBI) is poor yet highly variable. Current computerized tomography (CT) severity scores are commonly not used for pTBI prognostication but may provide important clinical information in these cohorts. Methods All consecutive pTBI patients from two large neurotrauma databases (Helsinki 1999–2015, Stockholm 2005–2014) were included. Outcome measures were 6-month mortality and unfavorable outcome (Glasgow Outcome Scale 1–3). Admission head CT scans were assessed according to the following: Marshall CT classification, Rotterdam CT score, Stockholm CT score, and Helsinki CT score. The discrimination (area under the receiver operating curve, AUC) and explanatory variance (pseudo-R2) of the CT scores were assessed individually and in addition to a base model including age, motor response, and pupil responsiveness. Results Altogether, 75 patients were included. Overall 6-month mortality and unfavorable outcome were 45% and 61% for all patients, and 31% and 51% for actively treated patients. The CT scores’ AUCs and pseudo-R2s varied between 0.77–0.90 and 0.35–0.60 for mortality prediction and between 0.85–0.89 and 0.50–0.57 for unfavorable outcome prediction. The base model showed excellent performance for mortality (AUC 0.94, pseudo-R2 0.71) and unfavorable outcome (AUC 0.89, pseudo-R2 0.53) prediction. None of the CT scores increased the base model’s AUC (p > 0.05) yet increased its pseudo-R2 (0.09–0.15) for unfavorable outcome prediction. Conclusion Existing head CT scores demonstrate good-to-excellent performance in 6-month outcome prediction in pTBI patients. However, they do not add independent information to known outcome predictors, indicating that a unique score capturing the intracranial severity in pTBI may be warranted.


2006 ◽  
Vol 23 (9) ◽  
pp. 1295-1303 ◽  
Author(s):  
Adrián V. Hernández ◽  
Ewout W. Steyerberg ◽  
Isabella Butcher ◽  
Nino Mushkudiani ◽  
Gillian S. Taylor ◽  
...  

Brain Injury ◽  
2010 ◽  
Vol 24 (5) ◽  
pp. 740-747 ◽  
Author(s):  
Maria Sandhaug ◽  
Nada Andelic ◽  
Anita Vatne ◽  
Stephen Seiler ◽  
Aase Mygland

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