FUSE-ML: development and external validation of a clinical prediction model for mid-term outcomes after lumbar spinal fusion for degenerative disease.
Staartjes VE, Stumpo V, Ricciardi L, Maldaner N, Eversdijk HAJ, Vieli M, Ciobanu-Caraus O, Raco A, Miscusi M, Perna A, Proietti L, Lofrese G, Dughiero M, Cultrera F, Nicassio N, An SB, Ha Y, Amelot A, Alcobendas I, Viñuela-Prieto JM, Gandía-González ML, Girod PP, Lener S, Kögl N, Abramovic A, Safa NA, Laux CJ, Farshad M, O'Riordan D, Loibl M, Mannion AF, Scerrati A, Molliqaj G, Tessitore E, Schröder ML, Vandertop WP, Stienen MN, Regli L, Serra C.
Staartjes VE, et al. Among authors: serra c.
Eur Spine J. 2022 Oct;31(10):2629-2638. doi: 10.1007/s00586-022-07135-9. Epub 2022 Feb 21.
Eur Spine J. 2022.
PMID: 35188587
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Decision-making may be improved with reliable prediction of long-term outcomes for each individual patient, improving patient selection and avoiding ineffective procedures. METHODS: Clinical prediction models for long-term functional impairment [Oswestry Disability …
Decision-making may be improved with reliable prediction of long-term outcomes for each individual patient, improving patient selecti …
