Publikation

Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease.

Wissenschaftlicher Artikel/Review - 11.07.2024

Bereiche
PubMed
DOI
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Zitation
Grob A, Rohr J, Stumpo V, Vieli M, Ciobanu-Caraus O, Ricciardi L, Maldaner N, Raco A, Miscusi M, Perna A, Proietti L, Lofrese G, Dughiero M, Cultrera F, D'Andrea M, An S, Ha Y, Amelot A, Bedia Cadelo J, Viñuela-Prieto J, Gandía-González M, Girod P, Lener S, Kögl N, Abramovic A, Laux C, Farshad M, O'Riordan D, Loibl M, Galbusera F, Mannion A, Scerrati A, De Bonis P, Molliqaj G, Tessitore E, Schröder M, Stienen M, Regli L, Serra C, Staartjes V. Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease. Eur Spine J 2024
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Eur Spine J 2024
Veröffentlichungsdatum
11.07.2024
eISSN (Online)
1432-0932
Kurzbeschreibung/Zielsetzung

Clinical prediction models (CPM), such as the SCOAP-CERTAIN tool, can be utilized to enhance decision-making for lumbar spinal fusion surgery by providing quantitative estimates of outcomes, aiding surgeons in assessing potential benefits and risks for each individual patient. External validation is crucial in CPM to assess generalizability beyond the initial dataset. This ensures performance in diverse populations, reliability and real-world applicability of the results. Therefore, we externally validated the tool for predictability of improvement in oswestry disability index (ODI), back and leg pain (BP, LP).