Evidence map›Paper›PMID 24531932›Full record

SynthesisJournal of autism and developmental disorders2014

How will DSM-5 affect autism diagnosis? A systematic literature review and meta-analysis.

Kristine M Kulage, Arlene M Smaldone, Elizabeth G Cohn

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of autism and developmental disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Machine Learning Differentiation of Autism Spectrum Sub-Classifications.Journal of autism and developmental disorders · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. The Diagnosis of Autism: From Kanner to DSM-III to DSM-5 and Beyond.Journal of autism and developmental disorders · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Oral microbiota and autism spectrum disorder (ASD).Journal of oral microbiology · 2020
    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

3 authors.

Kristine M KulageDepartment of Health Policy and Management, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA, kk729@columbia.edu.
Arlene M Smaldone
Elizabeth G Cohn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a systematic review and meta-analysis to determine the effect of changes to the Diagnostic and Statistical Manual (DSM)-5 on autism spectrum disorder (ASD) and explore policy implications. We identified 418 studies; 14 met inclusion criteria. Studies consistently reported decreases in ASD diagnosis (range 7.3-68.4%) using DSM-5 criteria. There were statistically significant pooled decreases in ASD [31% (20-44), p = 0.006] and DSM-IV-TR subgroups of Autistic disorder [22% (16-29), p < 0.001] and pervasive developmental disorder-not otherwise specified (PDD-NOS) [70% (55-82), p = 0.01]; however, Asperger's disorder pooled decrease was not significant [70% (26-94), p = 0.38]. DSM-5 will likely decrease the number of individuals diagnosed with ASD, particularly the PDD-NOS subgroup. Research is needed on policies regarding services for individuals lacking diagnosis but requiring assistance.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersChild Development Disorders, PervasiveHumansPractice Guidelines as TopicPsychiatric Status Rating Scales

Identifiers

What OpenQuestion holds

Textmetadata
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.