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Methodological approaches to evaluate teratogenic risk using birth defect registries: advantages and disadvantages
Fernando A Poletta1, Jorge S López Camelo, Juan A Gili
1ECLAMC (Estudio Colaborativo Latinoamericano de Malformaciones Congénitas) at Centro de Educación Médica e Investigaciones Clínicas (CEMIC) (CONICET), Buenos Aires, Argentina.
Evaluating case-control study designs for birth defect risk assessment revealed that the HEALTHY design overestimates risks, while SICK and OECA designs offer practical insights for identifying potential teratogens.
Area of Science:
- Epidemiology
- Teratology
- Biostatistics
Background:
- Case-control studies are crucial for assessing medication exposure and birth defect risks.
- Previous evaluations of these methods have not utilized birth defect surveillance programs.
- Understanding the performance of different control group strategies is essential for accurate teratogenic risk assessment.
Purpose of the Study:
- To evaluate the scope and limitations of three case-control approaches.
- To assess the teratogenic risk of birth defects in mothers exposed to antiepileptic medications, insulin, or acetaminophen.
- To compare the odds ratio (OR) estimates derived from different control group designs.
Main Methods:
- Utilized data from the Latin American Collaborative Study of Congenital Anomalies (ECLAMC) from 1967-2008.
- Included 110,814 non-malformed newborns and 58,514 newborns with birth defects.
- Employed three control groups: non-malformed (HEALTHY), malformed (SICK), and a subgroup of only-exposed cases (OECA).
Main Results:
- The HEALTHY design showed no concordance with OECA and produced average OR differences of 3.0-11.5, overestimating risks.
- Overestimation in the HEALTHY design correlated significantly with higher OR values.
- SICK and OECA designs demonstrated good concordance and no significant differences in average risks.
Conclusions:
- The HEALTHY design, while estimating true population OR, yields high false-positive rates due to bias, which decreases with more exposed controls.
- SICK and OECA ORs are not direct estimates of true population ORs unless specific conditions are met.
- SICK and OECA designs are valuable for generating hypotheses about potential teratogens.
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