Publikation
Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease.
Wissenschaftlicher Artikel/Review - 11.07.2024
Grob Alexandra, Rohr Jonas, Stumpo Vittorio, Vieli Moira, Ciobanu-Caraus Olga, Ricciardi Luca, Maldaner Nicolai, Raco Antonino, Miscusi Massimo, Perna Andrea, Proietti Luca, Lofrese Giorgio, Dughiero Michele, Cultrera Francesco, D'Andrea Marcello, An Seong Bae, Ha Yoon, Amelot Aymeric, Bedia Cadelo Jorge, Viñuela-Prieto Jose M, Gandía-González Maria L, Girod Pierre-Pascal, Lener Sara, Kögl Nikolaus, Abramovic Anto, Laux Christoph J, Farshad Mazda, O'Riordan Dave, Loibl Markus, Galbusera Fabio, Mannion Anne F, Scerrati Alba, De Bonis Pasquale, Molliqaj Granit, Tessitore Enrico, Schröder Marc L, Stienen Martin N., Regli Luca, Serra Carlo, Staartjes Victor E
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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).