Big Data Research in Pediatric Neurosurgery: Content, Statistical Output, and Bibliometric Analysis

Pediatric Neurosurgery
Chesney S OravecPaul Klimo

Abstract

We sought to describe pediatric "big data" publications since 2000, their statistical output, and clinical implications. We searched 4 major North American neurosurgical journals for articles utilizing non-neurosurgery-specific databases for clinical pediatric neurosurgery research. Articles were analyzed for descriptive and statistical information. We analyzed effect sizes (ESs), confidence intervals (CIs), and p values for clinical relevance. A bibliometric analysis was performed using several key citation metrics. We identified 74 articles, which constituted 1.7% of all pediatric articles (n = 4,436) published, with an exponential increase after 2013 (53/74, 72%). The Healthcare Cost and Utilization Project (HCUP) databases were most frequently utilized (n = 33); hydrocephalus (n = 19) was the most common study topic. The statistical output (n = 49 studies with 464 ESs, 456 CIs, and 389 p values) demonstrated that the majority of the ESs (253/464, 55%) were categorized as small; half or more of the CI spread (CIS) values and p values were high (274/456, 60%) and very strong (195/389, 50%), respectively. Associations with a combination of medium-to-large ESs (i.e., magnitude of difference), medium-to-high CISs (i.e., precisio...Continue Reading

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Citations

Nov 30, 2020·CNS Neuroscience & Therapeutics·Fengping ZhuYirui Sun
Nov 26, 2020·Plastic and Reconstructive Surgery·Hillary E JennyRobin Yang
Jan 31, 2021·Child's Nervous System : ChNS : Official Journal of the International Society for Pediatric Neurosurgery·Andrew T HaleUNKNOWN Hydrocephalus Clinical Research Network
Aug 18, 2021·Child's Nervous System : ChNS : Official Journal of the International Society for Pediatric Neurosurgery·Sarah NguyenMichael Karsy

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