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Cited by 1,063

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Practice parameter: Screening and diagnosis of autism: Report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society [RETIRED]

Open access
·2000·Neurology

Abstract

Autism is a common disorder of childhood, affecting 1 in 500 children. Yet, it often remains unrecognized and undiagnosed until or after late preschool age because appropriate tools for routine developmental screening and screening specifically for autism have not been available. Early identification of children with autism and intensive, early intervention during the toddler and preschool years improves outcome for most young children with autism. This practice parameter reviews the available empirical evidence and gives specific recommendations for the identification of children with autism. This approach requires a dual process: 1) routine developmental surveillance and screening specifically for autism to be performed on all children to first identify those at risk for any type of atypical development, and to identify those specifically at risk for autism; and 2) to diagnose and evaluate autism, to differentiate autism from other developmental disorders.

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Crossref · 10.1212/wnl.55.4.468

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Metadata

Venue
Neurology
Published
2000-08-22
Volume
55
Issue
4
Pages
468-479
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2152893589
Cited by
1,063
References
16
FWCI
15.95
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Practice parameter: Screening and diagnosis of autism: Report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society [RETIRED]. https://app.cochat.ai/papers/10.1212/wnl.55.4.468
The paper
Practice parameter: Screening and diagnosis of autism: Report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society [RETIRED]. (2000). Neurology. https://doi.org/10.1212/wnl.55.4.468

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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.