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Variability in the utility of predictive models in predicting patient-reported outcomes following spine surgery for degenerative conditions: a systematic review.
Dietz, Nicholas; Sharma, Mayur; Alhourani, Ahmad; Ugiliweneza, Beatrice; Wang, Dengzhi; Nuño, Miriam A; Drazin, Doniel; Boakye, Maxwell.
Affiliation
  • Dietz N; 1Department of Neurosurgery, University of Louisville, Kentucky.
  • Sharma M; 1Department of Neurosurgery, University of Louisville, Kentucky.
  • Alhourani A; 1Department of Neurosurgery, University of Louisville, Kentucky.
  • Ugiliweneza B; 1Department of Neurosurgery, University of Louisville, Kentucky.
  • Wang D; 1Department of Neurosurgery, University of Louisville, Kentucky.
  • Nuño MA; 2Department of Public Health Sciences, Division of Biostatistics, University of California Davis, Davis, California; and.
  • Drazin D; 3Evergreen Hospital Neuroscience Institute, Kirkland, Washington.
  • Boakye M; 1Department of Neurosurgery, University of Louisville, Kentucky.
Neurosurg Focus ; 45(5): E10, 2018 11 01.
Article in En | MEDLINE | ID: mdl-30453453

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Diseases / Models, Statistical / Patient Reported Outcome Measures Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosurg Focus Journal subject: NEUROCIRURGIA Year: 2018 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Diseases / Models, Statistical / Patient Reported Outcome Measures Type of study: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosurg Focus Journal subject: NEUROCIRURGIA Year: 2018 Type: Article