Publication

FUSE-ML: development and external validation of a clinical prediction model for mid-term outcomes after lumbar spinal fusion for degenerative disease.

Journal Paper/Review - Feb 21, 2022

Units
PubMed
Doi
Contact

Citation
Staartjes V, Stumpo V, Ricciardi L, Maldaner N, Eversdijk H, Vieli M, Ciobanu-Caraus O, Raco A, Miscusi M, Perna A, Proietti L, Lofrese G, Dughiero M, Cultrera F, Nicassio N, An S, Ha Y, Amelot A, Alcobendas I, Viñuela-Prieto J, Gandía-González M, Girod P, Lener S, Kögl N, Abramovic A, Safa N, Laux C, Farshad M, O'Riordan D, Loibl M, Mannion A, Scerrati A, Molliqaj G, Tessitore E, Schröder M, Vandertop W, Stienen M, Regli L, Serra C. FUSE-ML: development and external validation of a clinical prediction model for mid-term outcomes after lumbar spinal fusion for degenerative disease. Eur Spine J 2022; 31:2629-2638.
Type
Journal Paper/Review (English)
Journal
Eur Spine J 2022; 31
Publication Date
Feb 21, 2022
Issn Electronic
1432-0932
Pages
2629-2638
Brief description/objective

Indications and outcomes in lumbar spinal fusion for degenerative disease are notoriously heterogenous. Selected subsets of patients show remarkable benefit. However, their objective identification is often difficult. Decision-making may be improved with reliable prediction of long-term outcomes for each individual patient, improving patient selection and avoiding ineffective procedures.