Editorial. External validation of predictive models for postoperative hydrocephalus in pediatric patients with posterior fossa tumors

Manilyn Ann C. HongDepartment of Clinical Neurosciences, University of Calgary, Alberta, Canada

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Jay Riva-CambrinDepartment of Clinical Neurosciences, University of Calgary, Alberta, Canada

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Figure from Candela-Cantó et al. (pp 61–70).

  • 1

    Mijderwijk HJ, Beez T, Hänggi D, Nieboer D. Predictive models for postoperative hydrocephalus in pediatric patients with posterior fossa tumors. J Neurosurg Pediatr. Published online October 21, 2022. doi:10.3171/2022.6.PEDS21582

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  • 2

    Riva-Cambrin J, Detsky AS, Lamberti-Pasculli M, et al. Predicting postresection hydrocephalus in pediatric patients with posterior fossa tumors. J Neurosurg Pediatr. 2009;3(5):378385.

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  • 3

    Stein SC, Attiah MA. Clinical prediction and decision rules in neurosurgery: a critical review. Neurosurgery. 2015;77(2):149156.

  • 4

    Foreman P, McClugage S III, Naftel R, et al. Validation and modification of a predictive model of postresection hydrocephalus in pediatric patients with posterior fossa tumors. J Neurosurg Pediatr. 2013;12(3):220226.

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  • 5

    Pitsika M, Fletcher J, Coulter IC, Cowie CJA. A validation study of the modified Canadian Preoperative Prediction Rule for Hydrocephalus in children with posterior fossa tumors. J Neurosurg Pediatr. 2021;28(2):121127.

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  • 1

    Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMC Med. 2015;13(1):110.

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  • 2

    Mijderwijk HJ, Nieboer D, Incekara F, et al. Development and external validation of a clinical prediction model for survival in patients with IDH wild-type glioblastoma. J Neurosurg. 2022;137(4):914923.

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  • 3

    Stein SC, Attiah MA. Clinical prediction and decision rules in neurosurgery: a critical review. Neurosurgery. 2015;77(2):149156.

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