OBJECTIVE: To develop and validate INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD). DESIGN: Diagnostic test evaluation by cross sectional design. SETTING: Four tertiary pediatric neurology centers in Delhi and Thiruvanthapuram, India. METHODS: Children aged 2-9 years were enrolled in the study. INDT-ASD and Childhood Autism Rating Scale (CARS) were administered in a randomly decided sequence by trained psychologist, followed by an expert evaluation by DSM-IV TR diagnostic criteria (gold standard). MAIN OUTCOME MEASURES: Psychometric parameters of diagnostic accuracy, validity (construct, criterion and convergent) and internal consistency. RESULTS: 154 children (110 boys, mean age 64.2 mo) were enrolled. The overall diagnostic accuracy (AUC=0.97, 95% CI 0.93, 0.99; P<0.001) and validity (sensitivity 98%, specificity 95%, positive predictive value 91%, negative predictive value 99%) of INDT-ASD for Autism spectrum disorder were high, taking expert diagnosis using DSM-IV-TR as gold standard. The concordance rate between the INDT-ASD and expert diagnosis for 'ASD group' was 82.52% [Cohen's k=0.89; 95% CI (0.82, 0.97); P=0.001]. The internal consistency of INDT-ASD was 0.96. The convergent validity with CARS (r = 0.73, P= 0.001) and divergent validity with Binet-Kamat Test of intelligence (r = -0.37; P=0.004) were significantly high. INDT-ASD has a 4-factor structure explaining 85.3% of the variance. CONCLUSIONS: INDT-ASD has high diagnostic accuracy, adequate content validity, good internal consistency high criterion validity and high to moderate convergent validity and 4-factor construct validity for diagnosis of Autistm spectrum disorder.
OBJECTIVE: To develop and validate INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD). DESIGN: Diagnostic test evaluation by cross sectional design. SETTING: Four tertiary pediatric neurology centers in Delhi and Thiruvanthapuram, India. METHODS:Children aged 2-9 years were enrolled in the study. INDT-ASD and Childhood Autism Rating Scale (CARS) were administered in a randomly decided sequence by trained psychologist, followed by an expert evaluation by DSM-IV TR diagnostic criteria (gold standard). MAIN OUTCOME MEASURES: Psychometric parameters of diagnostic accuracy, validity (construct, criterion and convergent) and internal consistency. RESULTS: 154 children (110 boys, mean age 64.2 mo) were enrolled. The overall diagnostic accuracy (AUC=0.97, 95% CI 0.93, 0.99; P<0.001) and validity (sensitivity 98%, specificity 95%, positive predictive value 91%, negative predictive value 99%) of INDT-ASD for Autism spectrum disorder were high, taking expert diagnosis using DSM-IV-TR as gold standard. The concordance rate between the INDT-ASD and expert diagnosis for 'ASD group' was 82.52% [Cohen's k=0.89; 95% CI (0.82, 0.97); P=0.001]. The internal consistency of INDT-ASD was 0.96. The convergent validity with CARS (r = 0.73, P= 0.001) and divergent validity with Binet-Kamat Test of intelligence (r = -0.37; P=0.004) were significantly high. INDT-ASD has a 4-factor structure explaining 85.3% of the variance. CONCLUSIONS:INDT-ASD has high diagnostic accuracy, adequate content validity, good internal consistency high criterion validity and high to moderate convergent validity and 4-factor construct validity for diagnosis of Autistm spectrum disorder.
Authors: Narendra K Arora; M K C Nair; Sheffali Gulati; Vaishali Deshmukh; Archisman Mohapatra; Devendra Mishra; Vikram Patel; Ravindra M Pandey; Bhagabati C Das; Gauri Divan; G V S Murthy; Thakur D Sharma; Savita Sapra; Satinder Aneja; Monica Juneja; Sunanda K Reddy; Praveen Suman; Sharmila B Mukherjee; Rajib Dasgupta; Poma Tudu; Manoja K Das; Vinod K Bhutani; Maureen S Durkin; Jennifer Pinto-Martin; Donald H Silberberg; Rajesh Sagar; Faruqueuddin Ahmed; Nandita Babu; Sandeep Bavdekar; Vijay Chandra; Zia Chaudhuri; Tanuj Dada; Rashna Dass; M Gourie-Devi; S Remadevi; Jagdish C Gupta; Kumud K Handa; Veena Kalra; Sunil Karande; Ramesh Konanki; Madhuri Kulkarni; Rashmi Kumar; Arti Maria; Muneer A Masoodi; Manju Mehta; Santosh Kumar Mohanty; Harikumaran Nair; Poonam Natarajan; A K Niswade; Atul Prasad; Sanjay K Rai; Paul S S Russell; Rohit Saxena; Shobha Sharma; Arun K Singh; Gautam B Singh; Leena Sumaraj; Saradha Suresh; Alok Thakar; Sujatha Parthasarathy; Bhadresh Vyas; Ansuman Panigrahi; Munish K Saroch; Rajan Shukla; K V Raghava Rao; Maria P Silveira; Samiksha Singh; Vivek Vajaratkar Journal: PLoS Med Date: 2018-07-24 Impact factor: 11.069