{"entity": "researcher", "timestamp": "2026-09-23T21:55:19.326Z", "family": "Karlstad", "given": "\u00d8ystein", "initials": "\u00d8", "orcid": "0000-0003-1204-787X", "affiliations": ["Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/444d55a5814c4342a44da5f6488b6e23.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/444d55a5814c4342a44da5f6488b6e23"}}, "publications": [{"entity": "publication", "iuid": "491a452b3b0646278c44c993d28d3c25", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/491a452b3b0646278c44c993d28d3c25.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/491a452b3b0646278c44c993d28d3c25"}}, "title": "EpiCore-A Common Data Model for Pharmacoepidemiological Studies in Denmark, Norway, and Sweden.", "authors": [{"family": "Jensen", "given": "Peter Bj\u00f8dstrup", "initials": "PB", "orcid": "0000-0001-5435-9092", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/49e53e58a93c4cb49b089964ab105bd9.json"}}, {"family": "Andersen", "given": "Jacob H", "initials": "JH"}, {"family": "Ernst", "given": "Martin Thomsen", "initials": "MT"}, {"family": "Olesen", "given": "Morten", "initials": "M"}, {"family": "Karlstad", "given": "\u00d8ystein", "initials": "\u00d8", "orcid": "0000-0003-1204-787X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/444d55a5814c4342a44da5f6488b6e23.json"}}, {"family": "Furu", "given": "Kari", "initials": "K", "orcid": "0000-0003-2245-0179", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/f00c9192b2a642869c13e93ca5526147.json"}}, {"family": "Eriksson", "given": "Julia", "initials": "J"}, {"family": "Gembert", "given": "Karin", "initials": "K"}, {"family": "Potteg\u00e5rd", "given": "Anton", "initials": "A", "orcid": "0000-0001-9314-5679", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1daf4d9300f94bf6916f968437b52a80.json"}}], "type": "journal article", "published": "2025-11-00", "journal": {"title": "Pharmacoepidemiol Drug Saf", "issn": "1099-1557", "volume": "34", "issue": "11", "pages": "e70241", "issn-l": null}, "abstract": "The use of common data models (CDMs) is increasing; however, the complexity of many CDM frameworks constitutes a barrier for their use. For many local and collaborative use cases, simpler CDMs can suffice. Here, we propose the EpiCore CDM, a simple CDM framework for use in Scandinavian pharmacoepidemiological studies.\n\nThe EpiCore CDM was developed based on a set of guiding principles. It should (i) accommodate the most common elements of typical data sources in the field and region, (ii) be accessible to users without needing advanced technical expertise or database infrastructure, (iii) prioritize structural and syntactic harmonization of data and defer clinical concept mapping to the analytical phase, (iv) be usable in both collaborative and single site settings, and (v) include support for quality control procedures.\n\nThe EpiCore CDM comprises two mandatory administrative tables (person and observation), six optional event tables (diagnosis, procedure, encounter, drug, primcare, and cancer) and three optional lookup tables (drug_info, organisation_info, and prescriber_info). Each table, along with its columns and constraints is specified according to an EpiCore CDM specification template. This provides easy documentation and integrates with an R-package called EpiCoreAssistant, which provides quality control tools for testing the compliance of a CDM instance with the EpiCore specification. In the event that a project requires customization of the CDM, this is easily implemented in the template and testing. A step-by-step description is presented, demonstrating the steps involved in a typical CDM-based collaborative pharmacoepidemiological study using the EpiCore CDM.\n\nWe present the EpiCore CDM, a specification template and an R package that offers a simple framework for improved workflows, standardizations and collaboration, focused on Scandinavian pharmacoepidemiological studies and with relevance for a broad palette of register-based health care researchers.", "doi": "10.1002/pds.70241", "pmid": "41185087", "labels": [], "xrefs": [], "notes": [], "created": "2026-09-23T15:52:48.517Z", "modified": "2026-09-23T15:52:48.619Z"}, {"entity": "publication", "iuid": "ba9985751de04ea8bade892117cf7f6e", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/ba9985751de04ea8bade892117cf7f6e.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/ba9985751de04ea8bade892117cf7f6e"}}, "title": "Use of non-insulin antidiabetic drugs in children and young adults - A Scandinavian drug utilization study from 2010-2019.", "authors": [{"family": "Jensen", "given": "Helene K", "initials": "HK", "orcid": "0000-0003-4669-133X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/0f2bb5f699f4478db9ee30639f31febb.json"}}, {"family": "Rasmussen", "given": "Lotte", "initials": "L", "orcid": "0000-0001-5962-6647", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b6a270c0d778409dace2e3ff4d7f181b.json"}}, {"family": "Furu", "given": "Kari", "initials": "K"}, {"family": "Karlstad", "given": "\u00d8ystein", "initials": "\u00d8", "orcid": "0000-0003-1204-787X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/444d55a5814c4342a44da5f6488b6e23.json"}}, {"family": "Linder", "given": "Marie", "initials": "M"}, {"family": "Cesta", "given": "Carolyn E", "initials": "CE"}, {"family": "Potteg\u00e5rd", "given": "Anton", "initials": "A", "orcid": "0000-0001-9314-5679", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1daf4d9300f94bf6916f968437b52a80.json"}}], "type": "journal article", "published": "2021-11-00", "journal": {"title": "Br J Clin Pharmacol", "issn": "1365-2125", "volume": "87", "issue": "11", "pages": "4470-4475", "issn-l": null}, "abstract": "Knowledge on utilization patterns of non-insulin antidiabetic drugs in childhood and youth is limited. Therefore, we conducted a population-based drug utilization study using publicly available aggregate data on use of non-insulin antidiabetics from 2010 to 2019 in Scandinavia (Denmark, Norway and Sweden) in individuals aged up to 24 years. For each non-insulin antidiabetic drug, we calculated the annual prevalence proportion of users, overall and for specific age groups. From 2010 to 2019, the prevalence of non-insulin antidiabetic users in Scandinavia increased 37% from 0.43 to 0.59/1000 individuals. The prevalence proportions were highest among female adolescents and young adults, but the largest relative increase in use was seen among 10-14-year-olds (78%). Metformin was by far the most widely used non-insulin antidiabetic drug with a prevalence proportion of 0.51/1000 in 2019, followed by glucagon-like peptide-1 (GLP-1) analogues, which, however, showed an eight-fold relative increase during the study period.", "doi": "10.1111/bcp.14867", "pmid": "33871080", "labels": [], "xrefs": [], "notes": [], "created": "2026-09-23T13:11:05.971Z", "modified": "2026-09-23T13:11:06.119Z"}]}