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METHOD

Evaluation of Left Truncation and Censoring When Changing the Use of the International Classification of Diseases Eighth Revision Codes to Tenth Revision Codes in the Danish National Patient Registry

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Pages 319-327 | Received 12 Jan 2024, Accepted 02 May 2024, Published online: 18 May 2024

References

  • Furu K, Wettermark B, Andersen M, Martikainen JE, Almarsdottir AB, Sorensen HT. The Nordic countries as a cohort for pharmacoepidemiological research. Basic Clin Physiol Pharmacol. 2010;106(2):86–94. doi:10.1111/j.1742-7843.2009.00494.x
  • Sørensen HT, Baron JA. Teaching Epidemiology: a guide for teachers in epidemiology, public health and clinical medicine. In: Olsen J, Greene N, Saracci R, Trichopoulos D, editors. Medical Databases. Oxford University Press; 2015.
  • Laugesen K, Ludvigsson JF, Schmidt M, et al. Nordic health registry-based research: a review of health care systems and key registries. CLEP. 2021;13:533–554. doi:10.2147/CLEP.S314959
  • Sund R. Quality of the Finnish Hospital discharge register: A systematic review. Scand J Public Health. 2012;40(6):505–515. doi:10.1177/1403494812456637
  • Ludvigsson JF, Andersson E, Ekbom A, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11(1):450. doi:10.1186/1471-2458-11-450
  • Bakken IJ, Ariansen AMS, Knudsen GP, Johansen KI, Vollset SE. The Norwegian patient registry and the Norwegian registry for primary health care: Research potential of two nationwide health-care registries. Scand J Public Health. 2020;48(1):49–55. doi:10.1177/1403494819859737
  • Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sorensen 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
  • World Health O. international statistical classification of diseases and related health problems (ICD); 2004.
  • Sørensen ST, Kristensen FP, Troelsen FS, Schmidt M, Sørensen HT. Health registries as research tools: a review of methodological key issues. Dan Med J. 2023;70(4):A12220796.
  • Cain KC, Harlow SD, Little RJ, et al. Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes. Am J Epidemiol. 2011;173(9):1078–1084. doi:10.1093/aje/kwq481
  • Groenwold RHH, Dekkers OM. Look left, look right: censoring in clinical research. Eur J Endocrinol. 2023;189(5):E1–e3. doi:10.1093/ejendo/lvad152
  • Mues KE, Liede A, Liu J, et al. Use of the Medicare database in epidemiologic and health services research: a valuable source of real-world evidence on the older and disabled populations in the US. Clin Epidemiol. 2017;9:267–277. doi:10.2147/CLEP.S105613
  • Statistics D. Denmark in Figures 2018;2018.
  • Schmidt M, Schmidt SAJ, Adelborg K, et al. The Danish health care system and epidemiological research: from health care contacts to database records. CLEP. 2019;11:563–591.
  • 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
  • The Danish Health Data A. How to Get Started; 2019
  • Schmidt M, Jacobsen JB, Lash TL, Bøtker HE, Sørensen HT. 25 year trends in first time hospitalisation for acute myocardial infarction, subsequent short and long term mortality, and the prognostic impact of sex and comorbidity: a Danish nationwide cohort study. BMJ. 2012;344:e356. doi:10.1136/bmj.e356
  • Kim M, Chae K-H, Chung Y-J, et al. The effect of the look-back period for estimating incidence using administrative data. BMC Health Serv Res. 2020;20(1):166. doi:10.1186/s12913-020-5016-y
  • Czwikla J, Jobski K, Schink T. The impact of the lookback period and definition of confirmatory events on the identification of incident cancer cases in administrative data. BMC Med Res Methodol. 2017;17(1):122. doi:10.1186/s12874-017-0407-4
  • Nedkoff L, Knuiman M, Hung J, Sanfilippo FM, Katzenellenbogen JM, Briffa TG. Concordance between administrative health data and medical records for diabetes status in coronary heart disease patients: a retrospective linked data study. BMC Med Res Methodol. 2013;13(1):121. doi:10.1186/1471-2288-13-121
  • Sulo G, Igland J, Vollset SE, et al. Effect of the lookback period’s length used to identify incident acute myocardial infarction on the observed trends on incidence rates and survival: cardiovascular disease in Norway project. Circ Cardio Qual Out. 2015;8(4):376–382. doi:10.1161/CIRCOUTCOMES.114.001703
  • Osler M, Rostgaard K, Sørensen T IA, Madsen M. The effect of recurrent events on register-based estimates of level and trends in incidence of acute myocardial infarction. J Clin Epidemiol. 1999;52(7):595–600. doi:10.1016/S0895-4356(99)00032-3
  • Korsgaard S, Christiansen CF, Schmidt M, Sørensen HT. Impact of the look-back period on identifying recurrent myocardial infarctions in the Danish national patient registry. CLEP. 2021;13:1051–1059. doi:10.2147/CLEP.S334546
  • Worthington JM, Gattellari M, Goumas C, Jalaludin B. differentiating incident from recurrent stroke using administrative data: the impact of varying lengths of look-back periods on the risk of misclassification. Neuroepidemiology. 2017;48(3–4):111–118. doi:10.1159/000478016
  • Johannesdottir SA, Erichsen R, Horváth‐Puhó E, Schmidt M, Sørensen HT. Coeliac disease and risk of venous thromboembolism: a nationwide population‐based case‐control study. Br J Haematol. 2012;157(4):499–501. doi:10.1111/j.1365-2141.2012.09030.x
  • Erichsen R, Christiansen CF, Mehnert F, Weiss NS, Baron JA, Sørensen HT. Colorectal cancer and risk of atrial fibrillation and flutter: a population-based case–control study. Intern Emerg Med. 2012;7(5):431–438. doi:10.1007/s11739-011-0701-9