دورية أكاديمية
Nordcan.R: a new tool for federated analysis and quality assurance of cancer registry data.
| العنوان: | Nordcan.R: a new tool for federated analysis and quality assurance of cancer registry data. |
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| المؤلفون: | Larønningen S; Department of Registration, Cancer Registry of Norway, Oslo, Norway., Skog A; Department of Registration, Cancer Registry of Norway, Oslo, Norway., Engholm G; Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark., Ferlay J; Cancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France., Johannesen TB; Department of Registration, Cancer Registry of Norway, Oslo, Norway., Kristiansen MF; University of the Faroe Islands, Faculty of Health Sciences, Tórshavn, Faroe Islands., Knoors D; Research and Development, Netherlands Comprehensive Cancer Organisation, Eindhoven, Netherlands., Kønig SM; Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark., Olafsdottir EJ; The Icelandic Cancer Registry, Reykjavik, Iceland., Pejicic S; The National Board of Health and Welfare, Stockholm, Sweden., Pettersson D; The National Board of Health and Welfare, Stockholm, Sweden., Skovlund CW; Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark., Storm HH; Cancer Surveillance and Pharmacoepidemiology, Danish Cancer Society Research Center, Copenhagen, Denmark., Tian H; Department of Registration, Cancer Registry of Norway, Oslo, Norway., Aagnes B; Department of Registration, Cancer Registry of Norway, Oslo, Norway., Miettinen J; Finnish Cancer Registry, Helsinki, Finland. |
| المصدر: | Frontiers in oncology [Front Oncol] 2023 Aug 08; Vol. 13, pp. 1098342. Date of Electronic Publication: 2023 Aug 08 (Print Publication: 2023). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: [Lausanne : Frontiers Research Foundation] |
| مستخلص: | Aim of the Article: We present our new GDPR-compliant federated analysis programme (nordcan.R), how it is used to compute statistics for the Nordic cancer statistics web platform NORDCAN, and demonstrate that it works also with non-Nordic data. Materials and Methods: We chose R and Stata programming languages for writing nordcan.R. Additionally, the internationally used CRG Tools programme by International Agency for Research on Cancer (IARC/WHO) was employed. A formal assessment of (GDPR-compliant) anonymity of all nordcan.R outputs was performed. In order to demonstrate that nordcan.R also works with non-Nordic data, we used data from the Netherlands Cancer Registry. Results: nordcan.R, publicly available on Github, takes as input cancer and general population data and produces tables of statistics. Each NORDCAN participant runs nordcan.R locally and delivers its results to IARC for publication. According to our anonymity assessment the data can be shared with international organizations, including IARC. nordcan.R incidence results on Norwegian and Dutch data are highly similar to those produced by two other independent methods. Conclusion: nordcan.R produces accurate cancer statistics where all personal and sensitive data are kept within each cancer registry. In the age of strict data protection policies, we have shown that international collaboration in cancer registry research and statistics reporting is achievable with the federated analysis approach. Undertakings similar to NORDCAN should consider using nordcan.R. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor LV declared a past co-authorship with the author TB. (Copyright © 2023 Larønningen, Skog, Engholm, Ferlay, Johannesen, Kristiansen, Knoors, Kønig, Olafsdottir, Pejicic, Pettersson, Skovlund, Storm, Tian, Aagnes and Miettinen.) |
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| معلومات مُعتمدة: | 001 International WHO_ World Health Organization |
| فهرسة مساهمة: | Keywords: GDPR-compliance; NORDCAN; cancer; epidemiology; federated analysis; harmonization; quality; software |
| تواريخ الأحداث: | Date Created: 20230824 Latest Revision: 20240324 |
| رمز التحديث: | 20240324 |
| مُعرف محوري في PubMed: | PMC10442944 |
| DOI: | 10.3389/fonc.2023.1098342 |
| PMID: | 37614501 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2234-943X |
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| DOI: | 10.3389/fonc.2023.1098342 |