Screening for Autism Spectrum Disorder in Young Children: Still Not Enough Evidence Article Swipe
Bogdan Grigore
,
Jaime Peters
,
Jessica L. Chee-Williams
,
Ginny Russell
,
Paula Coles
,
Cristina Visintin
,
Morwenna Rogers
,
Robert Hayward
,
Zhivko Zhelev
,
Stuart Logan
,
Christopher Hyde
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/21501319241263223
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/21501319241263223
Background: Early detection of autism spectrum disorder (ASD) has the potential to significantly reduce the impact of the condition, however previous reviews have found little evidence to support screening programs for ASD in young children. Methods: We conducted a review with the aim of updating evidence on 3 aspects: (a) diagnostic stability of ASD in young children; (b) accuracy of ASD screening tools in young children; and (c) the benefits of early interventions in screen-detected young children with ASD. Results: A total of 33 studies were included in our review. Five studies looking at diagnostic stability reported estimates ranging from 71.9% to 100%, however the majority only included a follow-up of 24 months and all studies raised concerns regarding the risk of bias due particularly to lack of blinding, sample size, and patient flow. A total of 25 studies, reported in 26 articles, were identified that reported accuracy data on 11 screening tools. Most of the reports were concerned with versions of M-CHAT, reporting sensitivity estimates from 0.67 to 1.0; however, many of these were deemed to be of high risk of bias due to lack of blinding and follow-up. Four studies reported on early interventions in screen-detected children; however, the majority did not find significant improvements on the relevant outcomes. Conclusions: Overall, the evidence on screening for ASD in young children captured by this review is not conclusive regarding the 3 aspects of screening in this population. Future studies should attempt to ensure blinded diagnostic assessments, include longer follow-up periods and limit attrition.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1177/21501319241263223
- https://journals.sagepub.com/doi/pdf/10.1177/21501319241263223
- OA Status
- gold
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401130992
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401130992Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/21501319241263223Digital Object Identifier
- Title
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Screening for Autism Spectrum Disorder in Young Children: Still Not Enough EvidenceWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Bogdan Grigore, Jaime Peters, Jessica L. Chee-Williams, Ginny Russell, Paula Coles, Cristina Visintin, Morwenna Rogers, Robert Hayward, Zhivko Zhelev, Stuart Logan, Christopher HydeList of authors in order
- Landing page
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https://doi.org/10.1177/21501319241263223Publisher landing page
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https://journals.sagepub.com/doi/pdf/10.1177/21501319241263223Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/21501319241263223Direct OA link when available
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Medicine, Blinding, Autism spectrum disorder, Psychological intervention, Autism, Population, Pediatrics, MEDLINE, Psychiatry, Randomized controlled trial, Environmental health, Pathology, Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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64Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.however, | 170, 199 |
| abstract_inverted_index.included | 86, 107 |
| abstract_inverted_index.majority | 105, 201 |
| abstract_inverted_index.previous | 20 |
| abstract_inverted_index.programs | 29 |
| abstract_inverted_index.relevant | 209 |
| abstract_inverted_index.reported | 96, 139, 146, 192 |
| abstract_inverted_index.spectrum | 5 |
| abstract_inverted_index.studies, | 138 |
| abstract_inverted_index.updating | 44 |
| abstract_inverted_index.versions | 160 |
| abstract_inverted_index.articles, | 142 |
| abstract_inverted_index.blinding, | 128 |
| abstract_inverted_index.children. | 34 |
| abstract_inverted_index.children; | 56, 65, 198 |
| abstract_inverted_index.concerned | 158 |
| abstract_inverted_index.conducted | 37 |
| abstract_inverted_index.detection | 2 |
| abstract_inverted_index.estimates | 97, 165 |
| abstract_inverted_index.follow-up | 109, 249 |
| abstract_inverted_index.outcomes. | 210 |
| abstract_inverted_index.potential | 10 |
| abstract_inverted_index.regarding | 118, 229 |
| abstract_inverted_index.reporting | 163 |
| abstract_inverted_index.screening | 28, 61, 151, 216, 234 |
| abstract_inverted_index.stability | 51, 95 |
| abstract_inverted_index.attrition. | 253 |
| abstract_inverted_index.conclusive | 228 |
| abstract_inverted_index.condition, | 18 |
| abstract_inverted_index.diagnostic | 50, 94, 245 |
| abstract_inverted_index.follow-up. | 189 |
| abstract_inverted_index.identified | 144 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.population. | 237 |
| abstract_inverted_index.sensitivity | 164 |
| abstract_inverted_index.significant | 205 |
| abstract_inverted_index.Conclusions: | 211 |
| abstract_inverted_index.assessments, | 246 |
| abstract_inverted_index.improvements | 206 |
| abstract_inverted_index.particularly | 124 |
| abstract_inverted_index.interventions | 72, 195 |
| abstract_inverted_index.significantly | 12 |
| abstract_inverted_index.screen-detected | 74, 197 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5039851179 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I23923803 |
| citation_normalized_percentile.value | 0.15007474 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |