A scoping review of complication prediction models in spinal surgery: An analysis of model development, validation and impact.

ABSTRACT:

Background

Predictive analytics are being used increasingly in the field of spinal surgery with the development of models to predict post-surgical complications. Predictive models should be valid, generalizable, and clinically useful. The purpose of this review was to identify existing post-surgical complication prediction models for spinal surgery and to determine if these models are being adequately investigated with internal/external validation, model updating and model impact studies.

Methods

This was a scoping review of studies pertaining to models for the prediction of post-surgical complication after spinal surgery published over 10 years (2010-2020). Qualitative data was extracted from the studies to include study classification, adherence to Transparent Reporting of

SUBMITTER: Canturk TC 

PROVIDER: S-EPMC9379667 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature