Narrative Review of Predictive Analytics of Patient-Reported Outcomes in Adult Spinal Deformity Surgery.

ABSTRACT:

Study design

Narrative review.

Objective

Decision making in surgery for adult spinal deformity (ASD) is complex due to the multifactorial etiology, numerous surgical options, and influence of multiple medical and psychosocial factors on patient outcomes. Predictive analytics provide computational tools to analyze large data sets and generate hypotheses regarding new data. In this review, we examine the use of predictive analytics to predict patient-reported outcomes (PROs) in ASD surgery.

Methods

A search of PubMed, Web of Science, and Embase databases was performed to identify all potentially relevant studies up to February 1, 2020. Studies were included based on the use of predictive analytics to predict PROs in ASD.

Results

Of 57 studies identified and revie

SUBMITTER: Lehner K 

PROVIDER: S-EPMC8076815 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature