Evidence map›Paper›PMID 29705921›Full record

ArticleJournal of autism and developmental disorders2018

Comparison of DSM-IV-TR and DSM-5 Criteria in Diagnosing Autism Spectrum Disorders in Singapore.

Min Sung, Tze Jui Goh, Bei Lin Joelene Tan, Jialei Stephanie Chan, Hwee Sen Alvin Liew

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of autism and developmental disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

5 authors.

Min SungInstitute of Mental Health (IMH), 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore. min_sung@imh.com.sg.ORCID http://orcid.org/0000-0002-5913-8691
Tze Jui GohInstitute of Mental Health (IMH), 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore.
Bei Lin Joelene TanInstitute of Mental Health (IMH), 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore.
Jialei Stephanie ChanInstitute of Mental Health (IMH), 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore.
Hwee Sen Alvin LiewInstitute of Mental Health (IMH), 10 Buangkok View, Buangkok Green Medical Park, Singapore, 539747, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study examines the Diagnostic and Statistical Manual-Fifth Edition (DSM-5) and Diagnostic and Statistical Manual-Fourth Edition, Text Revision (DSM-IV-TR) when applied concurrently against the best estimate clinical diagnoses for 110 children (5.1-19.6 years old) referred for diagnostic assessments of Autism Spectrum Disorder (ASD) in a Singaporean outpatient speciality clinic. DSM-IV-TR performed slightly better, yielding sensitivity of 0.946 and specificity of 0.889, compared to DSM-5 (sensitivity = 0.837; specificity = 0.833). When considering the ASD sub-categories, sensitivity ranged from 0.667 to 0.933, and specificity ranged from 0.900 to 0.975. More participants with a PDD-NOS best estimate clinical diagnosis (40%) were misclassified on DSM-5. Merits and weaknesses to both classification systems, and implications for access to services and policy changes are discussed.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdolescentAutism Spectrum DisorderChildChild Development Disorders, PervasiveChild, PreschoolFemaleHumansMaleSingaporeYoung AdultAutism Spectrum DisordersDiagnosisDSM-5DSM-IV-TR

Identifiers

What OpenQuestion holds

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Registered trials

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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.