The prognostic value of magnetic resonance imaging in moderate and severe traumatic brain injury: a systematic review and meta-analysis protocol View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-01-19

AUTHORS

Hourmazd Haghbayan, Amélie Boutin, Mathieu Laflamme, François Lauzier, Michèle Shemilt, Lynne Moore, Ryan Zarychanski, Dean Fergusson, Alexis F. Turgeon

ABSTRACT

BACKGROUND: Traumatic brain injury (TBI) is a devastating condition with significant long-term mortality and morbidity. Despite current need for objective indicators to guide initial decision-making, few reliable acute phase prognostic factors have been identified. Early magnetic resonance imaging (MRI) has been investigated as a prognostic tool, but uncertainty remains in both its discriminative predictive value and which acute phase lesion patterns correlate with long-term outcome. METHODS: We will conduct a systematic review of observational cohort studies and randomized controlled trials of adult moderate or severe TBI patients who underwent MRI in the acute phase after trauma. A high sensitivity search strategy will be employed in MEDLINE, EMBASE, BIOSIS, and Cochrane CENTRAL to identify citations. Two reviewers will independently screen all identified references for eligibility and extract data into a standardized form. Data will be collected on study design, baseline demographics, trauma characteristics, magnetic resonance (MR) technical specifications, lesion patterns, and outcomes as related to acute MRI imaging. If meta-analysis is possible, quantitative data for each outcome will be pooled per type of lesion pattern using random effects models and expressed as Mantel-Haenszel relative risks in order to determine the prognostic value of lesions detected on acute MRI and their strength as discriminatory predictors of long-term outcome. Statistical heterogeneity will be evaluated with the I (2) statistics, and risk of bias and reporting quality will be assessed with standardized scales. Subgroup analyses are planned as a function of TBI severity, MRI-timing post-TBI, MRI field strength, MRI sequence, timing of outcome assessment, and risk of bias. DISCUSSION: We expect significant clinical heterogeneity, as eligible studies will likely encompass different periods in evolving MRI technology in addition to significant variability of image sequence protocols and timing of acquisition between centers. Based on existing studies in TBI, we expect lesions detected in the brainstem to be of significant predictive value as MRI is particularly sensitive for imaging the brain's posterior fossa. Our systematic review will allow clinicians to more accurately interpret MRI in the context of determining prognosis for moderate and severe TBI patients and inform researchers in this domain to improve the methodology of future studies. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42015017074. More... »

PAGES

10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13643-016-0184-x

DOI

http://dx.doi.org/10.1186/s13643-016-0184-x

DIMENSIONS

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PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26791573


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116 reference
117 relative risk
118 reliable acute phase prognostic factors
119 researchers
120 resonance
121 resonance (MR) technical specifications
122 resonance imaging
123 review
124 reviewers
125 risk
126 risk of bias
127 scale
128 search strategy
129 sensitivity search strategy
130 sequence
131 sequence protocol
132 severe TBI patients
133 severe traumatic brain injury
134 severity
135 significant clinical heterogeneity
136 significant long-term mortality
137 significant predictive value
138 significant variability
139 specification
140 standardized form
141 standardized scales
142 statistical heterogeneity
143 statistics
144 strategies
145 strength
146 study
147 study design
148 subgroup analysis
149 systematic review
150 technical specifications
151 technology
152 timing
153 timing of acquisition
154 tool
155 trauma
156 trauma characteristics
157 traumatic brain injury
158 trials
159 trials of adults
160 types
161 uncertainty
162 values
163 variability
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