Jai Shankar
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Articles (16)
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
The purpose of this systematic review was to analyze evidence based on existing studies on the ability of initial CT imaging to predict mortality in severe traumatic brain injuries (TBIs) in pediatric patients. An experienced librarian searched for all existing studies based on the inclusion and exclusion criteria. The studies were screened by two blinded reviewers. Of the 3277 studies included in the search, data on prevalence of imaging findings and mortality rate could only be extracted from 22 studies. A few of those studies had patient-specific data relating specific imaging findings to outcome, allowing the data analysis, calculation of the area under the curve (AUC) and receiver operating characteristic (ROC), and generation of a forest plot for each finding. The data were extracted to calculate the sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predicted value (NPV), AUC, and ROC for extradural hematoma (EDH), subdural hematoma (SDH), traumatic subarachnoid hemorrhage (tSAH), skull fractures, and edema. There were a total of 2219 patients, 747 females and 1461 males. Of the total, 564 patients died and 1651 survived; 293 patients had SDH, 76 had EDH, 347 had tSAH, 244 had skull fractures, and 416 had edema. The studies included had high bias and lower grade of evidence. Out of the different CT scan findings, brain edema had the highest SN, PPV, NPV, and AUC. EDH had the highest SP to predict in-hospital mortality.
Year:
2023
Year:
2023
Year:
2023
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2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Collaborators (6)
Rick Swartz
Associate Professor
University of Toronto
George MEDVEDEV
Head of the division
UF Health
Yi Yan
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Shahid Nimjee
Associate Professor
The Ohio State University Wexner Medical Center
Namita Sinha
Shared Health Manitoba
Aristeidis Katsanos
Assistant Professor
McMaster University
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