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ORIGINAL RESEARCH

Validation of Register-Based Diabetes Classifiers in Danish Data

ORCID Icon, &
Pages 569-581 | Received 15 Feb 2023, Accepted 31 Mar 2023, Published online: 05 May 2023

References

  • Nielsen AA, Christensen H, Lund ED, Christensen C, Brandslund I, Green A. Diabetes mortality differs between registers due to various disease definitions. Dan Med J. 2014;61(5):A4840.
  • Rawshani A, Landin-Olsson M, Svensson AM, et al. The incidence of diabetes among 0–34 year olds in Sweden: new data and better methods. Diabetologia. 2014;57(7):1375–1381. doi:10.1007/s00125-014-3225-9
  • Bak JCG, Serné EH, Kramer MHH, Nieuwdorp M, Verheugt CL. National diabetes registries: do they make a difference? Acta Diabetol. 2021;58(3):267–278. doi:10.1007/s00592-020-01576-8
  • Hallgren Elfgren I-M, Grodzinsky E, Törnvall E. The Swedish National Diabetes Register in clinical practice and evaluation in primary health care. Prim Health Care Res Dev. 2016;17(6):549–558. doi:10.1017/S1463423616000098
  • Cooper JG, Thue G, Claudi T, Løvaas K, Carlsen S, Sandberg S. The Norwegian diabetes register for adults – an overview of the first years. Norsk Epidemiol. 2013;23(1). doi:10.5324/nje.v23i1.1599
  • Nishioka Y, Takeshita S, Kubo S, et al. Appropriate definition of diabetes using an administrative database: a cross-sectional cohort validation study. J Diabetes Investig. 2022;13(2):249–255. doi:10.1111/jdi.13641
  • Raebel MA, Schroeder EB, Goodrich G, et al. Validating type 1 and type 2 diabetes mellitus in the mini-sentinel distributed database using the Surveillance PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) DataLink. Sentinel initiative; 2016.
  • Klompas M, Eggleston E, McVetta J, Lazarus R, Li L, Platt R. Automated detection and classification of type 1 versus type 2 diabetes using electronic health record data. Diabetes Care. 2013;36(4):914–921. doi:10.2337/dc12-0964
  • Schroeder EB, Donahoo WT, Goodrich GK, Raebel MA. Validation of an algorithm for identifying type 1 diabetes in adults based on electronic health record data. Pharmacoepidemiol Drug Saf. 2018;27(10):1053–1059. doi:10.1002/pds.4377
  • Lo-Ciganic W, Zgibor JC, Ruppert K, Arena VC, Stone RA. Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model. J Diabetes Sci Technol. 2011;5(3):486–493. doi:10.1177/193229681100500303
  • Ke C, Stukel TA, Luk A, et al. Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records. BMC Med Res Methodol. 2020;20(1):35. doi:10.1186/s12874-020-00921-3
  • Weisman A, Tu K, Young J, et al. Validation of a type 1 diabetes algorithm using electronic medical records and administrative healthcare data to study the population incidence and prevalence of type 1 diabetes in Ontario, Canada. BMJ Open Diabetes Res Care. 2020;8(1):e001224. doi:10.1136/bmjdrc-2020-001224
  • Lynam A, McDonald T, Hill A, et al. Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18–50 years. BMJ Open. 2019;9(9):e031586. doi:10.1136/bmjopen-2019-031586
  • Thomas NJ, McGovern A, Young KG, et al. Identifying type 1 and 2 diabetes in research datasets where classification biomarkers are unavailable: assessing the accuracy of published approaches. J Clin Epidemiol. 2022;153:34–44. doi:10.1016/j.jclinepi.2022.10.022
  • Kristensen JK, Drivsholm TB, Carstensen B, Steding-Jensen M, Green A. Validering af metoder til identifikation af erkendt diabetes på basis af administrative sundhedsregistre [Validation of methods to identify known diabetes on the basis of health registers]. Ugeskr Laeger. 2007;169(18):1687–1692. Danish.
  • Carstensen B, Kristensen JK, Marcussen MM, Borch-Johnsen K. The national diabetes register. Scand J Public Health. 2011;39(7 Suppl):58–61. doi:10.1177/1403494811404278
  • Green A, Sortsø C, Jensen PB, Emneus M. Validation of the Danish national diabetes register. Clin Epidemiol. 2014;7:5–15. doi:10.2147/CLEP.S72768
  • Jørgensen ME, Kristensen JK, Reventlov Husted G, Cerqueira C, Rossing P. The Danish adult diabetes registry. Clin Epidemiol. 2016;8:429–434. doi:10.2147/CLEP.S99518
  • The Danish Health Data Authority. The register of selected chronic diseases; 2014. Available from: https://www.esundhed.dk/Dokumentation/DocumentationExtended?id=29. Accessed November 25, 2022.
  • Bjerg L, Dalsgaard E-M, Norman K, Isaksen AA, Sandbæk A. Cohort profile: health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region. BMJ Open. 2022;12(7):e060410. doi:10.1136/bmjopen-2021-060410
  • Schmidt M, Schmidt SAJ, Adelborg K, et al. The Danish health care system and epidemiological research: from health care contacts to database records. Clin Epidemiol. 2019;11:563–591. doi:10.2147/CLEP.S179083
  • Schmidt M, Pedersen L, Sørensen HT. The Danish Civil Registration System as a tool in epidemiology. Eur J Epidemiol. 2014;29(8):541–549. doi:10.1007/s10654-014-9930-3
  • Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–490. doi:10.2147/CLEP.S91125
  • Andersen JS, Olivarius Nde F, Krasnik A. The Danish National Health Service Register. Scand J Public Health. 2011;39(7 Suppl):34–37. doi:10.1177/1403494810394718
  • Pottegård A, Schmidt SAJ, Wallach-Kildemoes H, Sørensen HT, Hallas J, Schmidt M. Data resource profile: the Danish National Prescription Registry. Int J Epidemiol. 2017;46(3):798–798f. doi:10.1093/ije/dyw213
  • Wertheimer AI. The defined daily dose system (DDD) for drug utilization review. Hosp Pharm. 1986;21(3):233–234, 239–241, 258.
  • The Danish Health Data Authority. Algoritmer for udvalgte kroniske sygdomme og svære psykiske lidelser; 2016. Available from: https://www.esundhed.dk/-/media/Files/Dokumentation/Register-for-Udvalgte-Kroniske-Sygdomme-og-Svaere-Psykiske-Lidelser/29_Algoritmer_for_RUKS.ashx. Accessed November 25, 2022.
  • R Core Team R. R: A Language and Environment for Statistical Computing [Computer Program]. Version 4.1.3: R Foundation for Statistical Computing. Vienna, Austria: R Core Team R; 2022.
  • epiR: tools for the analysis of epidemiological data [computer program]. Version 2.0.52; 2022. Available from: https://CRAN.R-project.org/package=epiR. Accessed April 19, 2023.
  • Isaksen AA. osdc - an R package for classifying diabetes in Danish registers. Available from: https://github.com/Aastedet/osdc. Accessed November 25, 2022.
  • Fox MP, Lash TL, Bodnar LM. Common misconceptions about validation studies. Int J Epidemiol. 2020;49(4):1392–1396. doi:10.1093/ije/dyaa090
  • Nissen F, Quint JK, Morales DR, Douglas IJ. How to validate a diagnosis recorded in electronic health records. Breathe. 2019;15(1):64–68. doi:10.1183/20734735.0344-2018
  • Wacholder S, Armstrong B, Hartge P. Validation studies using an alloyed gold standard. Am J Epidemiol. 1993;137(11):1251–1258. doi:10.1093/oxfordjournals.aje.a116627
  • Green A, Hede SM, Patterson CC, et al. Type 1 diabetes in 2017: global estimates of incident and prevalent cases in children and adults. Diabetologia. 2021;64(12):2741–2750. doi:10.1007/s00125-021-05571-8
  • Thomas NJ, Lynam AL, Hill AV, et al. Type 1 diabetes defined by severe insulin deficiency occurs after 30 years of age and is commonly treated as type 2 diabetes. Diabetologia. 2019;62(7):1167–1172. doi:10.1007/s00125-019-4863-8
  • Pettersson S, Hadziabdic E, Marklund H, Hjelm K. Lower knowledge about diabetes among foreign-born compared to Swedish-born persons with diabetes-a descriptive study. Nurs Open. 2019;6(2):367–376. doi:10.1002/nop2.217
  • Hussen HI, Yang D, Cnattingius S, Moradi T. Type I diabetes among children and young adults: the role of country of birth, socioeconomic position and sex. Pediatr Diabetes. 2013;14(2):138–148. doi:10.1111/j.1399-5448.2012.00904.x
  • Neu A, Willasch A, Ehehalt S, Kehrer M, Hub R, Ranke MB. Diabetes incidence in children of different nationalities: an epidemiological approach to the pathogenesis of diabetes. Diabetologia. 2001;44(Suppl 3):B21–26. doi:10.1007/PL00002948
  • Carstensen B, Rønn PF, Jørgensen ME. Prevalence, incidence and mortality of type 1 and type 2 diabetes in Denmark 1996–2016. BMJ Open Diabetes Res Care. 2020;8(1):e001071. doi:10.1136/bmjdrc-2019-001071
  • Marszalek RT, Flintoft L. Being open: our policy on source code. Genome Biol. 2016;17(1):172. doi:10.1186/s13059-016-1040-y