Evidence map›Paper›PMID 30865682›Full record

ArticlePloS one2019

Development and validation of DSM-5 based diagnostic tool for children with Autism Spectrum Disorder.

Sheffali Gulati, Jaya Shankar Kaushik, Lokesh Saini, Vishal Sondhi, Priyanka Madaan, N K Arora, R M Pandey, Prashant Jauhari, Ranjith K Manokaran, Savita Sapra and 3 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Autism in India: Time for a national programme.The Indian journal of medical research · 2023
    Article
  11. Review
  12. Caregiver Perceptions of Autism and Neurodevelopmental Disabilities in New Delhi, India.International journal of environmental research and public health · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

13 authors.

Sheffali GulatiChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.ORCID 0000-0003-1439-9959
Jaya Shankar KaushikChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Lokesh SainiChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Vishal SondhiChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Priyanka MadaanChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.ORCID 0000-0002-8526-4691
N K AroraThe INCLEN trust International, Phase-I, New Delhi, India.
R M PandeyDepartment of Biostatistics, All India Institute of Medical Sciences, Delhi, India.
Prashant JauhariChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Ranjith K ManokaranChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Savita SapraChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Shobha SharmaChief, Child Neurology Division, Faculty in-Charge, Centre of Excellence & Advanced Research on Childhood Neurodevelopmental disorders, Department of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Vinod K PaulDepartment of Pediatrics, All India Institute of Medical Sciences, Delhi, India.
Rajesh SagarDepartment of Psychiatry, All India Institute of Medical Sciences, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic and Statistical Manual of mental disorder-IV (DSM-IV) TR based INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD) is an established instrument for the diagnosis of ASD in Indian subcontinent and low-middle income countries (LMIC). The introduction of DSM-5 necessitated revision of existing INDT-ASD tool to incorporate the DSM-5 related changes. This study was undertaken to develop and validate the DSM-5 based All India Institute of Medical Sciences (AIIMS)-Modified-INDT-ASD Tool. The modifications were done using Delphi method and included: (a) rearrangement of questions from the previous tool; and (b) addition of new questions on sensory symptoms. The modified tool was validated against DSM-5 diagnostic criteria. In addition, receiver operating characteristic (ROC) curves were used to determine the cut-off for total score as compared to Childhood Autism Rating Scale (CARS) score to grade the severity of ASD. Two-hundred-twenty-five children (159 boys, median age = 47months) were enrolled. The modified tool demonstrated sensitivity of 98.4% and specificity of 91.7% to diagnose ASD. A score ≥14 on the tool was suggestive of severe ASD (CARS>36.5) with a sensitivity and specificity of 80% and 80.7% respectively [Area under the curve = 0.89]. AIIMS-Modified-INDT-ASD Tool is a simple and structured instrument based on DSM-5 criteria which can facilitate diagnosis of ASD with acceptable diagnostic accuracy.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersAdolescentArea Under CurveAutism Spectrum DisorderChildChild, PreschoolDelphi TechniqueFemaleHumansInfantMalePilot ProjectsROC CurveSensitivity and SpecificityValidation Studies as Topic

Identifiers

PMID30865682
PMCPMC6415840

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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.