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Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review.

Publication ,  Journal Article
White, HJ; Bradley, J; Hadgis, N; Wittke, E; Piland, B; Tuttle, B; Erickson, M; Horn, ME
Published in: Curr Rev Musculoskelet Med
June 2020

PURPOSE OF REVIEW: The purpose of this systematic review is to evaluate the current literature in patients undergoing spine surgery in the cervical, thoracic, and lumbar spine to determine the available risk assessment tools to predict the patient-centered outcomes of pain, disability, physical function, quality of life, psychological disposition, and return to work after surgery. RECENT FINDINGS: Risk assessment tools can assist surgeons and other healthcare providers in identifying the benefit-risk ratio of surgical candidates. These tools gather demographic, medical history, and other pertinent patient-reported measures to calculate a probability utilizing regression or machine learning statistical foundations. Currently, much is still unknown about the use of these tools to predict quality of life, disability, and other factors following spine surgery. A systematic review was conducted using PRISMA guidelines that identified risk assessment tools that utilized patient-reported outcome measures as part of the calculation. From 8128 identified studies, 13 articles met inclusion criteria and were accepted into this review. The range of c-index values reported in the studies was between 0.63 and 0.84, indicating fair to excellent model performance. Post-surgical patient-reported outcomes were identified in the following categories (n = total number of predictive models): return to work (n = 3), pain (n = 9), physical functioning and disability (n = 5), quality of life (QOL) (n = 6), and psychosocial disposition (n = 2). Our review has synthesized the available evidence on risk assessment tools for predicting patient-centered outcomes in patients undergoing spine surgery and described their findings and clinical utility.

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Published In

Curr Rev Musculoskelet Med

DOI

ISSN

1935-973X

Publication Date

June 2020

Volume

13

Issue

3

Start / End Page

247 / 263

Location

United States
 

Citation

APA
Chicago
ICMJE
MLA
NLM
White, H. J., Bradley, J., Hadgis, N., Wittke, E., Piland, B., Tuttle, B., … Horn, M. E. (2020). Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review. Curr Rev Musculoskelet Med, 13(3), 247–263. https://doi.org/10.1007/s12178-020-09630-2
White, Hannah J., Jensyn Bradley, Nicholas Hadgis, Emily Wittke, Brett Piland, Brandi Tuttle, Melissa Erickson, and Maggie E. Horn. “Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review.Curr Rev Musculoskelet Med 13, no. 3 (June 2020): 247–63. https://doi.org/10.1007/s12178-020-09630-2.
White HJ, Bradley J, Hadgis N, Wittke E, Piland B, Tuttle B, et al. Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review. Curr Rev Musculoskelet Med. 2020 Jun;13(3):247–63.
White, Hannah J., et al. “Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review.Curr Rev Musculoskelet Med, vol. 13, no. 3, June 2020, pp. 247–63. Pubmed, doi:10.1007/s12178-020-09630-2.
White HJ, Bradley J, Hadgis N, Wittke E, Piland B, Tuttle B, Erickson M, Horn ME. Predicting Patient-Centered Outcomes from Spine Surgery Using Risk Assessment Tools: a Systematic Review. Curr Rev Musculoskelet Med. 2020 Jun;13(3):247–263.
Journal cover image

Published In

Curr Rev Musculoskelet Med

DOI

ISSN

1935-973X

Publication Date

June 2020

Volume

13

Issue

3

Start / End Page

247 / 263

Location

United States