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Evaluation of a Records-Review Surveillance System Used to Determine the Prevalence of Autism Spectrum Disorders

机译:用于确定自闭症谱系障碍患病率的记录检查监视系统的评估

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We conducted the first study that estimates the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of a population-based autism spectrum disorders (ASD) surveillance system developed at the Centers for Disease Control and Prevention. The system employs a records-review methodology that yields ASD classification (case versus non-ASD case) and was compared with classification based on clinical examination. The study enrolled 177 children. Estimated specificity (0.96, [CI.95 = 0.94, 0.99]), PPV (0.79 [CI.95 = 0.66, 0.93]), and NPV (0.91 [CI.95 = 0.87, 0.96]) were high. Sensitivity was lower (0.60 [CI.95 = 0.45, 0.75]). Given diagnostic heterogeneity, and the broad array of ASD in the population, identifying children with ASD is challenging. Records-based surveillance yields a population-based estimate of ASD that is likely conservative.
机译:我们进行了第一项研究,以评估疾病控制和预防中心开发的基于人群的自闭症谱系障碍(ASD)监测系统的敏感性,特异性,阳性预测值(PPV)和阴性预测值(NPV)。该系统采用了记录审查方法,可进行ASD分类(病例与非ASD病例),并与基于临床检查的分类进行比较。该研究招募了177名儿童。估计的特异性(0.96,[CI <.sub.95 = 0.94,0.99]),PPV(0.79 [CI .95 = 0.66,0.93])和NPV(0.91 [CI .95 = 0.87,0.96])。灵敏度较低(0.60 [CI .95 = 0.45,0.75])。鉴于诊断的异质性和人群中广泛的ASD,确定患有ASD的儿童具有挑战性。基于记录的监视得出基于人群的ASD估计值可能是保守的。

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