Abstract
Spine surgery is expensive, invasive and associated with important risks. The potential benefits of intervention must be balanced against these harms and risks. Decision curve analysis is a statistical method for evaluating models, rules and tests to indicate patients for intervention. The net benefit of a proposed tool can be compared with the clinical default strategies of “treat all” vs. “treat none” across a range of clinically reasonable threshold probabilities, thereby demonstrating whether the use of a prediction model or diagnostic test is clinically useful. Here we discuss the current applications of decision curve analysis within the spine population.
Original language | English (US) |
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Article number | 100873 |
Journal | Seminars in Spine Surgery |
Volume | 33 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2021 |
Externally published | Yes |
ASJC Scopus subject areas
- Surgery
- Orthopedics and Sports Medicine