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Cited by 265

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Evidence-Based Diagnosis, Health Care, and Rehabilitation for Children With Cerebral Palsy

Novak, Iona·2014·Journal of Child Neurology

Abstract

Safer and more effective interventions have been invented for children with cerebral palsy, but the rapid expansion of the evidence base has made keeping up-to-date difficult. Unfortunately, outdated care is being provided. The aims were to survey the questions parents asked neurologists and provide evidence-based answers, using knowledge translation techniques. Parents asked the following questions: (1) what’s wrong with my baby? An algorithm for early diagnosis was proposed. (2) What is cerebral palsy and what online resources are current? Reputable information websites were sourced and hyperlinks provided. (3) The prognosis? Prognostic data from meta-analyses were summarized in an infographic. (4) What interventions offer the most evidence-supported results? Systematic review data about the most effective interventions was mapped into a bubble chart infographic. Finally, (5) What can we expect? Predictors and facilitators of good outcomes were summarized. This article provides an overview of the most up-to-date diagnostic practices and evidence-based intervention options.

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Metadata

Authors
Novak, I.
Venue
Journal of Child Neurology
Published
2014-06-22
Volume
29
Issue
8
Pages
1141-1156
ISSN
  • 0883-0738 (ISSN-L)
  • 1708-8283
OpenAlex
W2166655859
Cited by
265
References
43
FWCI
8.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evidence-Based Diagnosis, Health Care, and Rehabilitation for Children With Cerebral Palsy. https://app.cochat.ai/papers/10.1177/0883073814535503
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Novak, I. (2014). Evidence-Based Diagnosis, Health Care, and Rehabilitation for Children With Cerebral Palsy. Journal of Child Neurology. https://doi.org/10.1177/0883073814535503

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.