Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.
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Using Abbreviated Injury Scale (AIS) codes to classify Computed Tomography (CT) features in the Marshall SystemBig data from small data: data-sharing in the 'long tail' of neuroscienceAnemia management after acute brain injuryRegulation of the cerebral circulation: bedside assessment and clinical implicationsDevelopment of prognostic models for patients with traumatic brain injury: a systematic reviewDeveloping and validating risk prediction models in an individual participant data meta-analysisFluid Biomarkers of Traumatic Brain Injury and Intended Context of UsePathophysiology and clinical management of moderate and severe traumatic brain injury in the ICUClinical characteristics and pathophysiological mechanisms of focal and diffuse traumatic brain injuryMitochondrial DNA and traumatic brain injuryAn economic evaluation of venous thromboembolism prophylaxis strategies in critically ill trauma patients at risk of bleedingPrognosis Research Strategy (PROGRESS) 2: prognostic factor researchPrognosis Research Strategy (PROGRESS) 3: prognostic model researchAdvanced neuroimaging in traumatic brain injuryLogistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes.Unexpected recovery of function after severe traumatic brain injury: the limits of early neuroimaging-based outcome predictionA framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis.Addressing the challenges of obtaining functional outcomes in traumatic brain injury research: missing data patterns, timing of follow-up, and three prognostic models.The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data.Predicting long-term outcome after traumatic brain injury using repeated measurements of Glasgow Coma Scale and data mining methods.Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE.Prediction of neurosurgical intervention after mild traumatic brain injury using the national trauma data bank.Reliability of the NINDS common data elements cranial tomography (CT) rating variables for traumatic brain injury (TBI).Developing a prognostic model for traumatic brain injury--a missed opportunity?Prognostication of long-term outcomes after subarachnoid hemorrhage: The FRESH score.Intracranial bleeding in patients with traumatic brain injury: a prognostic studyStandardisation of data collection in traumatic brain injury: key to the future?Mortality Risk Stratification After Traumatic Brain Injury and Hazard of Death With Titrated Hypothermia in the Eurotherm3235Trial.Interobserver variability in the assessment of CT imaging features of traumatic brain injury.Use of the interRAI CHESS scale to predict mortality among persons with neurological conditions in three care settings.Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scoresHyperoxemia and long-term outcome after traumatic brain injury.Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injuryStandardizing data collection in traumatic brain injury.Monitoring prognosis in severe traumatic brain injuryDTI measures identify mild and moderate TBI cases among patients with complex health problems: A receiver operating characteristic analysis of U.S. veterans.Surgical decision making for the elderly patients in severe head injuries.Age, gender and disability predict future disability in older people: the Rotterdam Study.Effect of erythropoietin and transfusion threshold on neurological recovery after traumatic brain injury: a randomized clinical trialPredicting hospital-acquired infections by scoring system with simple parameters
P2860
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P2860
Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Predicting outcome after traum ...... on admission characteristics.
@ast
Predicting outcome after traum ...... on admission characteristics.
@en
type
label
Predicting outcome after traum ...... on admission characteristics.
@ast
Predicting outcome after traum ...... on admission characteristics.
@en
prefLabel
Predicting outcome after traum ...... on admission characteristics.
@ast
Predicting outcome after traum ...... on admission characteristics.
@en
P2093
P2860
P50
P1433
P1476
Predicting outcome after traum ...... d on admission characteristics
@en
P2093
Anthony Marmarou
Gillian S McHugh
Ian Roberts
Isabella Butcher
J Dik F Habbema
Nino Mushkudiani
Pablo Perel
P2860
P304
e165; discussion e165
P356
10.1371/JOURNAL.PMED.0050165
P407
P577
2008-08-01T00:00:00Z