Evidence map›Paper›PMID 26479859›Full record

ReviewActa paediatrica (Oslo, Norway : 1992)2016

How can clinicians detect and treat autism early? Methodological trends of technology use in research.

S Bölte, K D Bartl-Pokorny, U Jonsson, S Berggren, D Zhang, E Kostrzewa, T Falck-Ytter, C Einspieler, F B Pokorny, E J H Jones and 3 more

Abstract readReview
In one paragraph

Review in Acta paediatrica (Oslo, Norway : 1992), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Provider perspectives on equity in use of mobile health autism screening tools.Autism : the international journal of research and practice · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Identifying Atypical Development: A Role of Day-Care Workers?Journal of autism and developmental disorders · 2019
    Article
  16. Applying Eye Tracking to Identify Autism Spectrum Disorder in Children.Journal of autism and developmental disorders · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

S BölteDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
K D Bartl-PokornyInstitute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
U JonssonDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
S BerggrenDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
D ZhangInstitute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
E KostrzewaDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
T Falck-YtterDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
C EinspielerDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.
F B PokornyInstitute of Physiology, Research Unit iDN (interdisciplinary Developmental Neuroscience), Medical University of Graz, Graz, Austria.
E J H JonesCentre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK.
H RoeyersDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
T CharmanInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
P B MarschikDepartment of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Karolinska Institutet, Stockholm, Sweden.

Funding

Austrian Science Fund FWF P 25241
6 · The paper itself

Abstract

unlabelledWe reviewed original research papers that used quantifiable technology to detect early autism spectrum disorder (ASD) and identified 376 studies from 34 countries from 1965 to 2013. Publications have increased significantly since 2000, with most coming from the USA. Electroencephalogram, magnetic resonance imaging and eye tracking were the most frequently used technologies.

conclusionThe use of quantifiable technology to detect early ASD has increased in recent decades, but has had limited impact on early detection and treatment. Further scientific developments are anticipated, and we hope that they will increasingly be used in clinical practice for early ASD screening, diagnosis and intervention.

Indexed as

Autistic DisorderElectroencephalographyHumansMagnetic Resonance ImagingEarly autism spectrum disorderElectroencephalogramEye-tracking technologyMagnetic resonance imagingReview

Identifiers

PMID26479859
PMCPMC5951284

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.