Reem Masarwa1,2, Robert W Platt1,2,3,4, Kristian B Filion1,2,5. 1. Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, Montreal, Canada. 2. Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada. 3. Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada. 4. Department of Pediatrics, McGill University, Montreal, Canada. 5. Department of Medicine, McGill University, Montreal, Canada.
Abstract
BACKGROUND: The association between acetaminophen use during pregnancy and the development of attention deficit hyperactivity disorder (ADHD) in the offspring may be due to bias. OBJECTIVES: The primary objective was to assess the role of potential unmeasured confounding in the estimation of the association between acetaminophen use during pregnancy and the risk of ADHD, through bias analysis. The secondary objective was to assess the roles of selection bias and exposure misclassification. DATA SOURCES: We searched MEDLINE, Embase, Scopus, and the Cochrane Library up to December 2018. STUDY SELECTION AND DATA EXTRACTION: We included observational studies examining the association between acetaminophen use during pregnancy and the risk of ADHD. SYNTHESIS: We meta-analysed data across studies, using random-effects model. We conducted a bias analysis to studies that did not adjust for important confounders, to explore systematic errors related to unmeasured confounding, selection bias, and exposure misclassification. RESULTS: The search resulted in seven studies included in our meta-analysis. When adjusted estimates were pooled across all studies, the risk ratio (RR) for ADHD was 1.35 (95% confidence interval [CI] 1.25, 1.46; I2 = 48%). Sensitivity analysis for unmeasured confounding in this meta-analysis showed that a confounder of 1.69 on the RR scale would reduce to 10% the proportion of studies with a true effect size of RR >1.10. Unmeasured confounding bias analysis decreased the point estimate in five of the seven studies and increased in two studies, suggesting that the observed association could be confounded by parental ADHD. Unadjusted and bias-corrected risk ratios (bcRRs) were: RR = 1.34, bcRR = 1.13; RR = 1.51, bcRR = 1.17; RR = 1.63, bcRR = 1.38; RR = 1.44, bcRR = 1.17; RR = 1.16, bcRR = 1.18; RR = 1.25, bcRR = 1.05; and RR = 0.99, bcRR = 1.18. CONCLUSIONS: Bias analysis suggests that the previously reported association between acetaminophen use during pregnancy and an increased risk of ADHD in the offspring may be due to unmeasured confounding. Our ability to conclude a causal association is limited.
BACKGROUND: The association between acetaminophen use during pregnancy and the development of attention deficit hyperactivity disorder (ADHD) in the offspring may be due to bias. OBJECTIVES: The primary objective was to assess the role of potential unmeasured confounding in the estimation of the association between acetaminophen use during pregnancy and the risk of ADHD, through bias analysis. The secondary objective was to assess the roles of selection bias and exposure misclassification. DATA SOURCES: We searched MEDLINE, Embase, Scopus, and the Cochrane Library up to December 2018. STUDY SELECTION AND DATA EXTRACTION: We included observational studies examining the association between acetaminophen use during pregnancy and the risk of ADHD. SYNTHESIS: We meta-analysed data across studies, using random-effects model. We conducted a bias analysis to studies that did not adjust for important confounders, to explore systematic errors related to unmeasured confounding, selection bias, and exposure misclassification. RESULTS: The search resulted in seven studies included in our meta-analysis. When adjusted estimates were pooled across all studies, the risk ratio (RR) for ADHD was 1.35 (95% confidence interval [CI] 1.25, 1.46; I2 = 48%). Sensitivity analysis for unmeasured confounding in this meta-analysis showed that a confounder of 1.69 on the RR scale would reduce to 10% the proportion of studies with a true effect size of RR >1.10. Unmeasured confounding bias analysis decreased the point estimate in five of the seven studies and increased in two studies, suggesting that the observed association could be confounded by parental ADHD. Unadjusted and bias-corrected risk ratios (bcRRs) were: RR = 1.34, bcRR = 1.13; RR = 1.51, bcRR = 1.17; RR = 1.63, bcRR = 1.38; RR = 1.44, bcRR = 1.17; RR = 1.16, bcRR = 1.18; RR = 1.25, bcRR = 1.05; and RR = 0.99, bcRR = 1.18. CONCLUSIONS: Bias analysis suggests that the previously reported association between acetaminophen use during pregnancy and an increased risk of ADHD in the offspring may be due to unmeasured confounding. Our ability to conclude a causal association is limited.
Authors: L M Koehn; Y Huang; M D Habgood; S Nie; S Y Chiou; R B Banati; K M Dziegielewska; N R Saunders Journal: Sci Rep Date: 2021-10-06 Impact factor: 4.379
Authors: Jennifer M Lye; Julia A Knight; Jasleen Arneja; Ryan A Seeto; Jody Wong; Nadya Adel Khani; Jennifer D Brooks; Robert D Levitan; Stephen G Matthews; Stephen J Lye; Rayjean J Hung Journal: Pediatr Res Date: 2022-07-07 Impact factor: 3.953