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Use of linked nordic registries for population studies in hematologic cancers : the case of multiple myeloma

Authors :
Abildgaard, Niels
Freilich, Jonatan
Anttila, Pekka
Bent-Ennakhil, Nawal
Ma, Yuanjun
Lassenius, Mariann
Ørstavik, Sigurd
Toppila, Iiro
Waage, Anders
Turesson, Ingemar
Hansson, Markus
Abildgaard, Niels
Freilich, Jonatan
Anttila, Pekka
Bent-Ennakhil, Nawal
Ma, Yuanjun
Lassenius, Mariann
Ørstavik, Sigurd
Toppila, Iiro
Waage, Anders
Turesson, Ingemar
Hansson, Markus
Publication Year :
2023

Abstract

Purpose: Linked health-care registries and high coverage in Nordic countries lend themselves well to epidemiologic research. Given its relatively high incidence in Western Europe, complexity in diagnosis, and challenges in registration, multiple myeloma (MM) was selected to compare registries in Denmark, Finland, and Sweden. Patients and Methods: Data were obtained from four archetypal registries in each country (spanning January 2005–October 2018): National Patient Registry (NPR), Prescribed Drug Registry (PDR), Cancer Registry (CR), and Cause of Death Registry. Patients newly diagnosed with MM who received MM-specific treatment were included. PDR/NPR treatment records were used to assess incident NPR cases. The registration quality of MM-specific drugs in the PDR of each country was also evaluated. Results: In Denmark, only 6% of patients in the NPR were not registered in the CR; in Sweden, it was 16.9%. No systematic differences were identified that could explain this discrepancy. In Denmark, lenalidomide and bortezomib were registered in the NPR with high coverage, but less expensive drugs typically given in combination with bortezomib were not covered in any of the registries. In Finland and Sweden, bortezomib records were not identified in the PDR, but some were in the NPR; other drugs had good coverage in the PDR. Conclusions: The registries evaluated in this study can be used to identify the MM population; however, given the gaps in MM registration in the Finnish and Swedish CRs, Danish registries provide the most comprehensive datasets for research on treatment patterns for MM.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428109717
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.2147.CLEP.S413587