Tsheringla Sherab, Minju K A, Russell Sushila, Mammen Priya, Russell Paul Swamidhas Sudhakar, Nair M K C
Child and Adolescent Psychiatry Unit, Department of Psychiatry, Christian Medical College, Vellore, 632 002, Tamil Nadu, India.
Indian J Pediatr. 2014 Dec;81 Suppl 2:S187-92. doi: 10.1007/s12098-014-1627-9. Epub 2014 Nov 7.
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.
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.
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.
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.
自闭症诊断观察量表(ADOS)被认为是自闭症谱系障碍(ASD)诊断的金标准。作者使用原始诊断算法,通过Meta分析和Meta回归评估了ADOS模块1(ADOS(M1))的累积诊断准确性。
作者通过电子和手动方式检索了1999年至2013年期间使用原始诊断算法评估ADOS(M1)检测ASD准确性的研究。使用随机效应模型总结ADOS(M1)的敏感性(Sn)、特异性(Sp)和诊断比值比(DOR)的主要结果。使用汇总受试者工作特征曲线及其曲线下面积(SROC-AUC)来总结ADOS(M1)的总体诊断准确性。使用Meta回归研究研究质量和样本量对诊断比值比的修正作用。
共有7项横断面研究提供了4057名儿童的数据。ADOS(M1)总体诊断准确性的合并Sn、Sp、DOR和SROC-AUC分别为:0.91(95%CI=0.89至0.93)、0.73(95%CI=0.69至0.76)、44.20(95%CI=15.89至122.95)和0.90[校正后]。Meta回归分析显示ADOS(M1)与研究质量以及样本量之间无显著关系。DOR存在亚组差异。
得出结论,采用原始诊断算法的ADOS(M1)具有总体诊断准确性和合并特异性,表明准确性中等。合并敏感性较高,可用于自闭症谱系障碍的筛查测试。应使用具有修订诊断算法的ADOS(M1)进行诊断目的[校正后]应改用具有修订诊断算法的ADOS(M1)来诊断这组疾病。