ArticleSports medicine (Auckland, N.Z.)2020
Predicting Sport-related mTBI Symptom Resolution Trajectory Using Initial Clinical Assessment Findings: A Retrospective Cohort Study.
Article in Sports medicine (Auckland, N.Z.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical Outcome Following Concussion Among College Athletes with a History of Prior Concussion: A Systematic Review.Sports medicine - open · 2022Pooled it
- The Incidence, Cost, and Burden of Concussion in Women's Rugby League and Rugby Union: A Systematic Review and Pooled Analysis.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- 'Their role has a lot of purpose beyond being just being about exercises': a qualitative study of patients' experiences of physiotherapy following a mild traumatic brain injury.BMJ open sport & exercise medicine · 2024Article
- Article
- Preliminary Evidence for the Clinical Utility of Tactile Somatosensory Assessments of Sport-Related mTBI.Sports medicine - open · 2021Article
- The Brain Injury Screening Tool (BIST): Tool development, factor structure and validity.PloS one · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify which aspects of initial clinical assessment for sport-related mild traumatic brain injury (SR-mTBI) predict whether an athlete achieves symptom resolution within 14 days of the injury. RESEARCH
designRetrospective cohort study using prospectively collected data.
methodsClinical assessment data were collected from 568 patients diagnosed with SR-mTBI at a single medical clinic between February 2017 and December 2018. Demographic data, medical history, SCAT-5 testing, and physician notes were included in the data set. Data were processed and analysed to identify a shortlist of predictor variables to develop a logistic regression model to discriminate between SR-mTBI symptom resolution that occurred in ≤ 14-days or > 14-days. The data were randomly divided into model development and validation subsamples. The top 15 models were analysed to determine the predictor variables to be included in the final logistic regression model. The final model was then applied to the validation subsample.
resultsHalf of the athlete participants in this study experienced > 14-day symptom resolution. The final logistic regression model included sex, symptom reporting at initial assessment and presentation with a physiological predominant symptom cluster. The model accounted for 0.90 and 0.85 of the area under the curve and predicted recovery trajectory with 81% and 76% accuracy for the training and validation subsamples, respectively.
conclusionsBeing female, reporting a higher Positive Symptom Total at initial assessment, and being less likely to have a physiological predominant symptom cluster at initial assessment predicted > 14 versus ≤ 14-day SR-mTBI symptom resolution with a high level of accuracy.
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