prescription filling data, which may not reflect actual use of AD. However, prescription filling patterns are the most accurate data source for estimating actual medication intake in large populations. In addition, a positive predictive value of 100% (95% CI, 100-100) and a negative predictive value of 97.9% (95% CI, 90-100) were reported for AD.4 – The QPC contained no data on maternal lifestyle such as smoking or maternal body mass index, which may be potential confounders. – The diagnoses of ASD in the QPC were not validated, which could lead to misclassification bias. However, sensitivity analysis findings in children with a diagnosis of ASD confirmed by neurologists and/or psychiatrists were consistent with those of the main analyses, increasing the validity of these results. – Lack of statistical power in stratified analysis on family history of ASD, owing to small sample size. – No adjustment was made for multiple comparisons. 4Jobin-Gervais K, Sheehy O, Bérard A. Can we rely on pharmacy claims databases to ascertain maternal use of medications during pregnancy? Pharmacoepidemiol Drug Saf. 2013;22:155.