UK Yellow Card Reporting for GLP-1-Based Therapies Using Partial NHS Primary Care Prescribing and Hospital Medicine Data from England

Background/Objectives: In this retrospective aggregate pharmacovigilance study, we described UK Yellow Card reporting relative to partial English National Health Service (NHS) general practice (GP) prescribing for six glucagon-like peptide-1 (GLP-1)-based therapies. Methods: Primary overall reaction ratios used matching complete calendar years within each medicine: 2022–2025 for five medicines and 2024–2025 for tirzepatide. UK reaction counts were divided by English NHS GP items; geographical and product-coverage differences remain. Separate medicine estimates used conditional exact Poisson intervals without pooling. Annual models allowed for overdispersion. Outcome-specific extracts with unmatched windows and the combined GP plus estimated hospital denominator were secondary analyses. Results: Under the incomplete English NHS GP denominator, primary reaction ratios per million items were tirzepatide 23,808.48, semaglutide 5720.42, liraglutide 1700.45, exenatide 370.52, dulaglutide 258.11, and lixisenatide 87.70. Overall and severity report-based ratios were available for four medicines over their eligible periods. Temporal estimates were imprecise; tirzepatide had only two complete years, and lixisenatide had three reaction entries in its complete-year series, so neither received trend inference. Conclusions: Calendar matching improves the temporal definition of the overall ratios. Omitted private prescribing, UK–England population differences, uncertain product matching and reporting behaviour still prevent interpretation as incidence or comparative safety.

Authors

Institutions

Publication Details

Journal
Diabetology
Published
2026-10-13
DOI
https://doi.org/10.3390/diabetology7100200
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UK Yellow Card Reporting for GLP-1-Based Therapies Using Partial NHS Primary Care Prescribing and Hospital Medicine Data from England

Hairil Rashmizal Abdul Razak, ROB DANIELS, Kinan Mokbel, Ahmed Asiri et al.
Diabetology
Pharmacovigilance and Adverse Drug Reactions
article

UK Yellow Card Reporting for GLP-1-Based Therapies Using Partial NHS Primary Care Prescribing and Hospital Medicine Data from England

Hairil Rashmizal Abdul Razak, ROB DANIELS, Kinan Mokbel, Ahmed Asiri, Ahmed Najim
article en

Abstract

Background/Objectives: In this retrospective aggregate pharmacovigilance study, we described UK Yellow Card reporting relative to partial English National Health Service (NHS) general practice (GP) prescribing for six glucagon-like peptide-1 (GLP-1)-based therapies. Methods: Primary overall reaction ratios used matching complete calendar years within each medicine: 2022–2025 for five medicines and 2024–2025 for tirzepatide. UK reaction counts were divided by English NHS GP items; geographical and product-coverage differences remain. Separate medicine estimates used conditional exact Poisson intervals without pooling. Annual models allowed for overdispersion. Outcome-specific extracts with unmatched windows and the combined GP plus estimated hospital denominator were secondary analyses. Results: Under the incomplete English NHS GP denominator, primary reaction ratios per million items were tirzepatide 23,808.48, semaglutide 5720.42, liraglutide 1700.45, exenatide 370.52, dulaglutide 258.11, and lixisenatide 87.70. Overall and severity report-based ratios were available for four medicines over their eligible periods. Temporal estimates were imprecise; tirzepatide had only two complete years, and lixisenatide had three reaction entries in its complete-year series, so neither received trend inference. Conclusions: Calendar matching improves the temporal definition of the overall ratios. Omitted private prescribing, UK–England population differences, uncertain product matching and reporting behaviour still prevent interpretation as incidence or comparative safety.

DiabetologyVol. 7(10)
University of Exeter (GB)
Openalex Percentile: Top 11%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.