Stockholm Score of Lesion Detection on Computed Tomography following Mild Traumatic Brain Injury (SELECT-TBI) Study: Pilot Analysis and Statistical Analysis Plan - Summary - MDSpire

Stockholm Score of Lesion Detection on Computed Tomography following Mild Traumatic Brain Injury (SELECT-TBI) Study: Pilot Analysis and Statistical Analysis Plan

  • By

  • Li Jin Yang

  • Charles Tatter

  • Alexander Fletcher-Sandersjöö

  • Logan Froese

  • Philipp Lassarén

  • Jonathan Tjerkaski

  • Erica E. Bergman

  • Frida E. Björkman

  • Jonas Bronge

  • Julia Antonsson

  • Kasper Teromaa

  • Maria Nylander

  • Simon Örtqvist

  • William Kylander

  • William Lindqvist

  • Kristian Ängeby

  • Rebecka Rubenson Wahlin

  • Eric P. Thelin

  • July 1, 2025

  • 0 min

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Objective:

To develop models for individualized risk estimation of traumatic intracranial lesions (ICLs) in patients with mild traumatic brain injury (mTBI) presenting to the emergency department, focusing on specific risk factors and their interactions.

Key Findings:
  • mTBI accounts for 70-90% of all TBI cases, with only a small percentage developing ICLs, highlighting the need for effective risk assessment.
  • The study aims to create a comprehensive risk estimation model for ICLs in mTBI patients, which could transform clinical decision-making.
  • Initial data collection includes 5,000 patients from three hospitals with standardized TBI management protocols, ensuring consistency in data quality.
Interpretation:

The SELECT-TBI study seeks to enhance the understanding of risk factors for ICLs in mTBI, potentially improving clinical decision-making and patient outcomes through tailored risk assessments.

Limitations:
  • Retrospective nature may introduce bias in data collection and interpretation, affecting the reliability of the findings.
  • Findings are based on a specific patient population from selected hospitals, which may limit generalizability and applicability to broader populations.
  • Potential for selection bias in the patient population due to the specific criteria for inclusion.
Conclusion:

The SELECT-TBI study is positioned to provide valuable insights into the risk factors for ICLs in mTBI, aiding in better management and treatment strategies.

Original Source(s)

Stockholm Score of Lesion Detection on Computed Tomography following Mild Traumatic Brain Injury (SELECT-TBI) Study: Pilot Analysis and Statistical Analysis Plan

  • by Li Jin Yang, Charles Tatter, Alexander Fletcher-Sandersjöö, Logan Froese, Philipp Lassarén, Jonathan Tjerkaski, Erica E. Bergman, Frida E. Björkman, Jonas Bronge, Julia Antonsson, Kasper Teromaa, Maria Nylander, Simon Örtqvist, William Kylander, William Lindqvist, Kristian Ängeby, Rebecka Rubenson Wahlin, Eric P. Thelin

  • July 1, 2025

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