Literature DB >> 21806474

Diagnostic accuracy of clinical characteristics for identifying CT abnormality after minor brain injury: a systematic review and meta-analysis.

Abdullah Pandor1, Susan Harnan, Steve Goodacre, Alastair Pickering, Patrick Fitzgerald, Angie Rees.   

Abstract

Clinical features can be used to identify which patients with minor brain injury need CT scanning. A systematic review and meta-analysis was undertaken to estimate the value of these characteristics for diagnosing intracranial injury (including the need for neurosurgery) in adults, children, and infants. Potentially relevant studies were identified through electronic searches of several key databases, including MEDLINE, from inception to March 2010. Cohort studies of patients with minor brain injury (Glasgow Coma Score [GCS], 13-15) were selected if they reported data on the diagnostic accuracy of individual clinical characteristics for intracranial or neurosurgical injury. Where applicable, meta-analysis was used to estimate pooled sensitivity, specificity and likelihood ratios. Data were extracted from 71 studies (with cohort sizes ranging from 39 to 31,694 patients). Depressed or basal skull fracture were the most useful clinical characteristics for the prediction of intracranial injury in both adults and children (positive likelihood ratio [PLR], >10). Other useful characteristics included focal neurological deficit, post-traumatic seizure (PLR >5), persistent vomiting, and coagulopathy (PLR 2 to 5). Characteristics that had limited diagnostic value included loss of consciousness and headache in adults and scalp hematoma and scalp laceration in children. Limited studies were undertaken in children and only a few studies reported data for neurosurgical injuries. In conclusion, this review identifies clinical characteristics that indicate increased risk of intracranial injury and the need for CT scanning. Other characteristics, such as headache in adults and scalp laceration of hematoma in children, do not reliably indicate increased risk.

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Year:  2011        PMID: 21806474     DOI: 10.1089/neu.2011.1967

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  10 in total

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Review 3.  Experimental Designs for Repeated Mild Traumatic Brain Injury: Challenges and Considerations.

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5.  Incidence, course and risk factors of head injury: a retrospective cohort study.

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Review 7.  Grading and assessment of clinical predictive tools for paediatric head injury: a new evidence-based approach.

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Journal:  BMC Emerg Med       Date:  2019-06-14

8.  Traumatic Brain Injury during the SARS-CoV-2 Pandemic.

Authors:  Juliette A L Santing; Crispijn L van den Brand; Korné Jellema
Journal:  Neurotrauma Rep       Date:  2020-07-23

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10.  Implementing evidence-based recommended practices for the management of patients with mild traumatic brain injuries in Australian emergency care departments: study protocol for a cluster randomised controlled trial.

Authors:  Marije Bosch; Joanne E McKenzie; Duncan Mortimer; Emma J Tavender; Jill J Francis; Sue E Brennan; Jonathan C Knott; Jennie L Ponsford; Andrew Pearce; Denise A O'Connor; Jeremy M Grimshaw; Jeffrey V Rosenfeld; Russell L Gruen; Sally E Green
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  10 in total

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