Literature DB >> 25377926

A meta-analysis of the diagnostic accuracy of Autism Diagnostic Observation Schedule Module-1 for autism spectrum disorders.

Sherab Tsheringla1, K A Minju, Sushila Russell, Priya Mammen, Paul Swamidhas Sudhakar Russell, M K C Nair.   

Abstract

OBJECTIVE: Autism Diagnostic Observation Schedule (ADOS) is considered gold standard for the diagnosis of Autism Spectrum Disorders (ASD). The authors evaluated the cumulative diagnostic accuracy of ADOS-Module 1 (ADOS(M1)) using the original diagnostic algorithm with meta-analysis and meta-regression.
METHODS: The authors, electronically and manually searched for studies from 1999 to 2013 that evaluated the accuracy of ADOS(M1) using the original diagnostic algorithm in detecting ASD. Primary results of Sensitivity (Sn), Specificity (Sp) and Diagnostic Odds Ratio (DOR) for ADOS(M1) were summarized using random-effects model. Summary Receiver Operating characteristic Curves and its Area Under the Curve (SROC-AUC) were used to summarize overall diagnostic accuracy of ADOS(M1). The modifying effects of quality of study and sample size, on the diagnostic odds ratio, were investigated using meta-regression.
RESULTS: A total of 7 cross-sectional studies provided data on 4057 children. The pooled Sn, Sp, DOR and SROC-AUC for the overall diagnostic accuracy of ADOS (M1) were: 0.91 (95 %CI=0.89 to 0.93), 0.73 (95 % CI=0.69 to 0.76), 44.20 (95 %CI=15.89 to 122.95) and 0.90 respectively [corrected]. Meta-regression analysis showed a non-significant relationship between ADOS(M1) and study quality as well as sample size. There were subgroup differences in the DOR.
CONCLUSIONS: It is concluded that ADOS (M1) with the original diagnostic algorithm has the overall diagnostic accuracy and pooled specificity suggesting moderate accuracy. The pooled sensitivity is high to be used as a screening test for Autism Spectrum Disorders. ADOS( M1)with the revised diagnostic algorithm should be used for diagnostic purpose [corrected] ADOS(M1) with the revised diagnostic algorithm should be used instead for the diagnosis of this group of disorders.

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Year:  2014        PMID: 25377926     DOI: 10.1007/s12098-014-1627-9

Source DB:  PubMed          Journal:  Indian J Pediatr        ISSN: 0019-5456            Impact factor:   1.967


  13 in total

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2.  The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

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3.  The Autism Diagnostic Observation Schedule: revised algorithms for improved diagnostic validity.

Authors:  Katherine Gotham; Susan Risi; Andrew Pickles; Catherine Lord
Journal:  J Autism Dev Disord       Date:  2006-12-16

4.  Developing a schedule to identify social communication difficulties and autism spectrum disorder in young children with visual impairment.

Authors:  Michael Absoud; Jeremy R Parr; Alison Salt; Naomi Dale
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5.  Autism spectrum disorder in the second year: stability and change in syndrome expression.

Authors:  Katarzyna Chawarska; Ami Klin; Rhea Paul; Fred Volkmar
Journal:  J Child Psychol Psychiatry       Date:  2007-02       Impact factor: 8.982

6.  Diagnostic accuracy, reliability and validity of Childhood Autism Rating Scale in India.

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Review 7.  Diagnostic procedures in autism spectrum disorders: a systematic literature review.

Authors:  Torbjörn Falkmer; Katie Anderson; Marita Falkmer; Chiara Horlin
Journal:  Eur Child Adolesc Psychiatry       Date:  2013-01-16       Impact factor: 4.785

8.  Diagnostic stability in very young children with autism spectrum disorders.

Authors:  Jamie M Kleinman; Pamela E Ventola; Juhi Pandey; Alyssa D Verbalis; Marianne Barton; Sarah Hodgson; James Green; Thyde Dumont-Mathieu; Diana L Robins; Deborah Fein
Journal:  J Autism Dev Disord       Date:  2007-10-09

9.  The construction and validation of a short form of the developmental, diagnostic and dimensional interview.

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Journal:  Eur Child Adolesc Psychiatry       Date:  2009-03-05       Impact factor: 4.785

10.  Parent information and direct observation in the diagnosis of pervasive and specific developmental disorders.

Authors:  Michele Noterdaeme; Katrin Mildenberger; Stefan Sitter; Hedwig Amorosa
Journal:  Autism       Date:  2002-06
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1.  A neurodevelopmental follow-up model in India: advances in the evidence base.

Authors:  M K C Nair; Paul Swamidhas Sudhakar Russell; K Ellangovan
Journal:  Indian J Pediatr       Date:  2014-11-22       Impact factor: 1.967

Review 2.  A Comparative Analysis of the ADOS-G and ADOS-2 Algorithms: Preliminary Findings.

Authors:  Taylor P Dorlack; Orrin B Myers; Piyadasa W Kodituwakku
Journal:  J Autism Dev Disord       Date:  2018-06

3.  Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children.

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4.  Predictive components in the structure of an intensive, parent mediated, early intervention for children with autism spectrum disorders in India.

Authors:  Shonima A Viswanathan; Paul S S Russell
Journal:  J Family Med Prim Care       Date:  2019-07

5.  Authors' reply.

Authors:  S K Raina; V Kashyap; A K Bhardwaj; D Kumar; V Chander
Journal:  J Postgrad Med       Date:  2016 Jan-Mar       Impact factor: 1.476

6.  Prevalence of autism spectrum disorders among children (1-10 years of age): Findings of a midterm report from Northwest India.

Authors:  M D Al-Mendalawi
Journal:  J Postgrad Med       Date:  2016 Jan-Mar       Impact factor: 1.476

7.  Biomarkers for Autism Spectrum Disorders (ASD): A Meta-analysis.

Authors:  Ashley Ansel; Yehudit Posen; Ronald Ellis; Lisa Deutsch; Philip D Zisman; Benjamin Gesundheit
Journal:  Rambam Maimonides Med J       Date:  2019-10-29

8.  Adapting and validating the Autism Diagnostic Observation Schedule Version 2 for use with deaf children and young people.

Authors:  Helen Phillips; Barry Wright; Victoria Allgar; Helen McConachie; Jennifer Sweetman; Rebecca Hargate; Rachel Hodkinson; Martin Bland; Hannah George; Anna Hughes; Emily Hayward; Victoria Fernandez Garcia De Las Heras; Ann Le Couteur
Journal:  J Autism Dev Disord       Date:  2021-03-24
  8 in total

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