2016
DOI: 10.1111/bcp.12947
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EUROmediCAT signal detection: an evaluation of selected congenital anomaly‐medication associations

Abstract: AimsTo evaluate congenital anomaly (CA)‐medication exposure associations produced by the new EUROmediCAT signal detection system and determine which require further investigation.MethodsData from 15 EUROCAT registries (1995–2011) with medication exposures at the chemical substance (5th level of Anatomic Therapeutic Chemical classification) and chemical subgroup (4th level) were analysed using a 50% false detection rate. After excluding antiepileptics, antidiabetics, antiasthmatics and SSRIs/psycholeptics alrea… Show more

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Cited by 16 publications
(28 citation statements)
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References 129 publications
(188 reference statements)
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“…We report here the statistical methodology and assess its validity by comparing the results with known associations already reported in the literature . The validation of the individual signals found and their correspondence with current scientific knowledge is reported in an accompanying paper .…”
Section: Introductionmentioning
confidence: 82%
“…We report here the statistical methodology and assess its validity by comparing the results with known associations already reported in the literature . The validation of the individual signals found and their correspondence with current scientific knowledge is reported in an accompanying paper .…”
Section: Introductionmentioning
confidence: 82%
“…We may expect a teratogen to act in a similar way regardless of where it is taken; however, certain medications may have varying usages and/or availability in different EUROmediCAT registries and countries. As many medication‐CA combinations have very small numbers, the best approach to an ongoing signal detection process is considered to be investigation of any potential registry effects at a later stage in the analysis; as such, after potential signals are generated, the next step of the EUROmediCAT signal detection process includes the adjustment of estimates for confounding by registry …”
Section: Discussionmentioning
confidence: 99%
“…The proportion of category A medications being identified as potential signals was also considered, as a measure of the likely number of “false positive” associations. The total number of unique medications in the set of potential signals identified by each method is referred to as the “effective workload.” Note that we refer only to potential signals as the aim of this study is to assess signal generation methods for CA data, and we do not further evaluate the potential signals here (since this has already been done for this dataset).…”
Section: Methodsmentioning
confidence: 99%
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“…[5][6][7] The suspected causal factors include iatrogenic factors (e.g. medications taken during pregnancy [8][9][10] or conception via assisted reproductive technologies (ART) [11,12]) and environmental factors (e.g. fetal exposure to endocrine-disrupting chemicals or other chemical hazards).…”
Section: Introductionmentioning
confidence: 99%