%0 Journal Article
%T Application of clinical prediction modeling in pediatric neurosurgery: a case study.
%A Mijderwijk HJ
%A Beez T
%A Hänggi D
%A Nieboer D
%J Childs Nerv Syst
%V 37
%N 5
%D 05 2021
%M 33783617
%F 1.532
%R 10.1007/s00381-021-05112-z
%X There has been an increasing interest in articles reporting on clinical prediction models in pediatric neurosurgery. Clinical prediction models are mathematical equations that combine patient-related risk factors for the estimation of an individual's risk of an outcome. If used sensibly, these evidence-based tools may help pediatric neurosurgeons in medical decision-making processes. Furthermore, they may help to communicate anticipated future events of diseases to children and their parents and facilitate shared decision-making accordingly. A basic understanding of this methodology is incumbent when developing or applying a prediction model. This paper addresses this methodology tailored to pediatric neurosurgery. For illustration, we use original pediatric data from our institution to illustrate this methodology with a case study. The developed model is however not externally validated, and clinical impact has not been assessed; therefore, the model cannot be recommended for clinical use in its current form.