Medicines prescribed in pregnancy: Protocol for a signal detection study using routinely collected data in England

Liza Bowen, Hannah Johnson, Iain M. Carey, Tess Harris, Emma Baker, Derek G. Cook, Pensee Wu, Michael R. Perkin, Alex Barr, Joan Morris · 2026

Read Medicines prescribed in pregnancy: Protocol for a signal detection study using routinely collected data in England by Liza Bowen, Hannah Johnson, Iain M. Carey, Tess Harris, Emma Baker, Derek G. Cook, Pensee Wu, Michael R. Perkin, Alex Barr, Joan Morris (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13210384.txt.

Description

Most medicines used in pregnancy were never tested in pregnancy, and a 2026 protocol headed by Liza Bowen sets out to hunt systematically for safety signals in English records. The protocol describes a study in the Clinical Practice Research Datalink that scans every prescribed drug against maternal, fetal, and infant outcomes.

The team will first chart prescribing trends and their social patterning across pregnancies in the database. Bayesian signal detection models will then flag drug-outcome pairs occurring more often than expected, before published evidence is layered onto each flag. Patient and advisory workshops will rank the signals, and three chosen pairs will get full adjusted cohort studies.

Catalog record

CREATORLiza Bowen, Hannah Johnson, Iain M. Carey, Tess Harris, Emma Baker, Derek G. Cook, Pensee Wu, Michael R. Perkin, Alex Barr, Joan Morris
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE26 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13210384

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