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Original Research

Positive Predictive Value of the Giant Cell Arteritis Diagnosis in the Danish National Patient Registry: A Validation Study

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Pages 731-736 | Published online: 12 Jul 2020

References

  • Gonzalez-Gay MA, Vazquez-Rodriguez TR, Lopez-Diaz MJ, et al. Epidemiology of giant cell arteritis and polymyalgia rheumatica. Arthritis Rheum. 2009;61:1454–1461. doi:10.1002/art.2445919790127
  • Brekke LK, Diamantopoulos AP, Fevang BT, Abetamus J, Espero E, Gjesdal CG. Incidence of giant cell arteritis in Western Norway 1972–2012: a retrospective cohort study. Arthritis Res Ther. 2017;19:278. doi:10.1186/s13075-017-1479-629246164
  • Ashton-Key MR, Gallagher PJ. False-negative temporal artery biopsy. Am J Surg Pathol. 1992;16:634–635. doi:10.1097/00000478-199206000-000141599042
  • Niederkohr RD, Levin LA. A Bayesian analysis of the true sensitivity of a temporal artery biopsy. Invest Ophthalmol Vis Sci. 2007;48:675–680. doi:10.1167/iovs.06-110617251465
  • Meller J, Sahlmann CO, Gurocak O, Liersch T, Meller B. FDG-PET in patients with fever of unknown origin: the importance of diagnosing large vessel vasculitis. Q J Nucl Med Mol Imaging. 2009;53:51–63.19182728
  • 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.S9112526604824
  • Henriksen DP, Rasmussen L, Hansen MR, Hallas J, Pottegard A. Comparison of the Five Danish Regions regarding demographic characteristics, healthcare utilization, and medication use–a descriptive cross-sectional study. PLoS One. 2015;10:e0140197. doi:10.1371/journal.pone.014019726439627
  • Pottegard A, Schmidt SAJ, Wallach-Kildemoes H, Sorensen HT, Hallas J, Schmidt M. Data resource profile: the Danish National prescription registry. Int J Epidemiol. 2017;46:798–f. doi:10.1093/ije/dyw21327789670
  • Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. doi:10.1016/j.jbi.2008.08.01018929686
  • Linauskas A, Overvad K, Johansen MB, Stengaard-Pedersen K, de Thurah A. Positive predictive value of first-time rheumatoid arthritis diagnoses and their serological subtypes in the Danish National patient registry. Clin Epidemiol. 2018;10:1709–1720. doi:10.2147/CLEP.S17540630538575
  • Caudrelier L, Moulis G, Lapeyre-Mestre M, Sailler L, Pugnet G. Validation of giant cell arteritis diagnosis code in the French hospital electronic database. Eur J Intern Med. 2019;60:e16–e7. doi:10.1016/j.ejim.2018.10.00430448032
  • Seeliger B, Sznajd J, Robson JC, et al. Are the 1990 American College of Rheumatology vasculitis classification criteria still valid? Rheumatology. 2017;56:1154–1161. doi:10.1093/rheumatology/kex07528379475
  • Ing EB, Miller NR, Nguyen A, et al. Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation. Clin Ophthalmol. 2019;13:421–430. doi:10.2147/OPTH.S19346030863010