Literature DB >> 31418042

Fundamentals of Clinical Prediction Modeling for the Neurosurgeon.

Hendrik-Jan Mijderwijk1, Ewout W Steyerberg2,3, Hans-Jakob Steiger1, Igor Fischer4, Marcel A Kamp1.   

Abstract

Clinical prediction models in neurosurgery are increasingly reported. These models aim to provide an evidence-based approach to the estimation of the probability of a neurosurgical outcome by combining 2 or more prognostic variables. Model development and model reporting are often suboptimal. A basic understanding of the methodology of clinical prediction modeling is needed when interpreting these models. We address basic statistical background, 7 modeling steps, and requirements of these models such that they may fulfill their potential for major impact for our daily clinical practice and for future scientific work.
Copyright © 2019 by the Congress of Neurological Surgeons.

Keywords:  Aneurysmal subarachnoid hemorrhage; Clinical prediction; Model development; Neurosurgery; Outcome; Risk assessment

Mesh:

Year:  2019        PMID: 31418042     DOI: 10.1093/neuros/nyz282

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  2 in total

1.  Clinical prediction models.

Authors:  Hendrik-Jan Mijderwijk; Thomas Beez; Daniel Hänggi; Daan Nieboer
Journal:  Childs Nerv Syst       Date:  2020-03-17       Impact factor: 1.475

2.  Application of clinical prediction modeling in pediatric neurosurgery: a case study.

Authors:  Hendrik-Jan Mijderwijk; Thomas Beez; Daniel Hänggi; Daan Nieboer
Journal:  Childs Nerv Syst       Date:  2021-03-30       Impact factor: 1.475

  2 in total

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