Development of a Database for Study Data in Registration Applications for Veterinary Medicinal Products

Anke Finnah; Sabine Klee; Inga Ruddat; Bettina Schneider; Lothar Kreienbrock

doi:10.18849/ve.v2i1.49

Veterinary Evidence (Feb 2017)

Development of a Database for Study Data in Registration Applications for Veterinary Medicinal Products

Anke Finnah,
Sabine Klee,
Inga Ruddat,
Bettina Schneider,
Lothar Kreienbrock

Affiliations

Anke Finnah: Federal Office for Consumer Protection and Food Safety (BVL) Department Veterinary Drugs Mauerstraße 39-42 10117 Berlin
Sabine Klee: Federal Office for Consumer Protection and Food Safety (BVL), Berlin, Germany
Inga Ruddat: Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health, University of Veterinary Medicine, Hannover, Germany
Bettina Schneider: Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health, University of Veterinary Medicine, Hannover, Germany
Lothar Kreienbrock: Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health, University of Veterinary Medicine, Hannover, Germany

DOI: https://doi.org/10.18849/ve.v2i1.49
Journal volume & issue: Vol. 2, no. 1

Abstract

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Objective: In the present study, the feasibility of a systematic record of clinical study data from marketing authorisation applications for veterinary medicinal products (VMP) and benefits of the selected approach were investigated.Background: Drug registration dossiers for veterinary medicinal products contain extensive data from drug studies, which are not easily accessible to assessors.Evidentiary value: Fast access to these data including specific search tools could facilitate a meaningful use of the data and allow assessors for comparison of test and studies from different dossiers.Methods: First, pivotal test parameters and their mutual relationships were identified. Second, a data model was developed and implemented in a relational database management system, including a data entry form and various reports for database searches. Compilation of study data in the database was demonstrated using all available clinical studies involving VMPs containing the anthelmintic drug Praziquantel. By means of descriptive data analysis possibilities of data evaluation including graphical presentation were shown. Suitability of the database to support the performance of meta-analyses was tentatively validated.Results: The data model was designed to cover the specific requirements arising from study data. A total of 308 clinical studies related to 95 VMPs containing Praziquantel (single agent and combination drugs) was selected for prototype testing. The relevant data extracted from these studies were appropriately structured and shown to be basically suitable for descriptive data analyses as well as for meta-analyses.Conclusion: The database-supported collection of study data would provide users with easy access to the continuously increasing pool of scientific information held by competent authorities. It enables specific data analyses. Database design allows expanding the data model to all types of studies and classes of drugs registered in veterinary medicine. The needs for detailed data recording and versatility of the data model must be carefully balanced.Application: The database will be used by regulatory authorities.

Published in Veterinary Evidence

ISSN: 2396-9776 (Online)
Publisher: RCVS Knowledge
Country of publisher: United Kingdom
LCC subjects: Agriculture: Animal culture: Veterinary medicine
Website: https://veterinaryevidence.org/index.php/ve

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