The design and rationale of the Biomarkers for Evaluating Spine Treatments trial: a sequential multiple assignment randomized trial - Summary - MDSpire

The design and rationale of the Biomarkers for Evaluating Spine Treatments trial: a sequential multiple assignment randomized trial

  • By

  • Matthew C Mauck

  • Kelly S Barth

  • Kevin M Bell

  • Amber K Brooks

  • Andrea L Chadwick

  • Cameron A Gunn

  • Robert W Hurley

  • Anastasia Ivanova

  • Sara R Piva

  • Michael J Schneider

  • Jeannie F Bailey

  • Sarah Bagaason

  • Anna Batorsky

  • Jeffrey J Borckardt

  • Anton E Bowden

  • Timothy S Carey

  • Joel Castellanos

  • Lucy Chen

  • Brooke Chidgey

  • Diane Dalton

  • Jonathan S Dufour

  • Aaron J Fields

  • Julie M Fritz

  • Rachel West Goolsby

  • Carol M Greco

  • Richard E Harris

  • Steven Harte

  • Afton L Hassett

  • Anna Hoffmeyer

  • Sara Jones Berkeley

  • Chelsea Kaplan

  • Kelley M Kidwell

  • Gregory G Knapik

  • Michael R Kosorok

  • Gregorij Kurillo

  • Remy Lobo

  • Jeffrey C Lotz

  • Sean Mackey

  • Prasath Mageswaran

  • Sharmila Majumdar

  • Jianren Mao

  • William S Marras

  • Micah McCumber

  • Samuel A McLean

  • Wolf Mehling

  • Ulrike H Mitchell

  • Vitaly J Napadow

  • Conor O'Neill

  • Kushang V Patel

  • Scott Peltier

  • Matthew Psioda

  • Bryce Rowland

  • Sean D Rundell

  • Andrew Schrepf

  • John Sperger

  • Nam Vo

  • Mark S Wallace

  • Ajay D Wasan

  • Tristan E Weaver

  • Kenneth A Weber

  • David A Williams

  • Leslie Wilson

  • Fadel Zeidan

  • Beibo Zhao

  • Kevin J Anstrom

  • Daniel J Clauw

  • Gwendolyn A Sowa

  • April 9, 2025

  • 0 min

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Objective:

To identify optimal treatment responses for chronic low back pain (cLBP) based on individual patient features, including biomarkers and phenotypic measures, emphasizing the need for personalized treatment strategies.

Key Findings:
  • cLBP affects 13.1% of individuals aged 20-69 in the U.S. and is a leading cause of disability, underscoring the urgency for effective treatment strategies.
  • Current treatments yield modest improvements, highlighting the critical need for personalized treatment approaches that consider individual patient characteristics.
  • The BEST trial aims to identify biomarkers and phenotypic characteristics that predict treatment responses, potentially transforming the management of cLBP.
Interpretation:

The trial seeks to enhance treatment efficacy for cLBP by employing a precision medicine approach, which could lead to significantly improved patient outcomes through tailored interventions based on individual characteristics.

Limitations:
  • The study's findings may be limited by the specific population enrolled, which may not represent the broader cLBP population, affecting the applicability of results.
  • Potential biases in self-reported treatment responses could affect outcome assessments, necessitating careful interpretation of the findings.
Conclusion:

The BEST trial represents a significant step towards personalized treatment for cLBP, aiming to improve clinical decision-making through the identification of effective biomarkers and phenotypic measures.

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