Validity of Danish Breast Cancer Group (DBCG) registry data used in the predictors of breast cancer recurrence (ProBeCaRe) premenopausal breast cancer cohort study

References

• Ehrenstein V, Antonsen S, Pedersen L. Existing data sources for clinical epidemiology: Aarhus University prescription database. Clin Epidemiol. 2010;2:273–279.
   PubMedGoogle Scholar
• Blichert-Toft M, Christiansen P, Mouridsen HT. Danish Breast Cancer Cooperative Group – DBCG: history, organization, and status of scientific achievements at 30-year anniversary. Acta Oncol. 2008;47:497–505.
   PubMed Web of Science ®Google Scholar
• Moller S, Jensen MB, Ejlertsen B, et al. The clinical database and the treatment guidelines of the Danish Breast Cancer Cooperative Group (DBCG); its 30-years experience and future promise. Acta Oncol. 2008;47:506–524.
   PubMed Web of Science ®Google Scholar
• Danish Breast Cancer Cooperative Group. Kvalitetsindikatorrap-port for brystkræft 2006 og 2007 [Quality indicator report for breast cancer 2006-2007]; 2008.
   Google Scholar
• Jensen AR, Storm HH, Moller S, et al. Validity and representativity in the Danish Breast Cancer Cooperative Group – a study on protocol allocation and data validity from one county to a multi-centre database. Acta Oncol. 2003;42:179–185.
   PubMed Web of Science ®Google Scholar
• Christiansen P, Al-Suliman N, Bjerre K, et al. Recurrence pattern and prognosis in low-risk breast cancer patients-data from the DBCG 89-A programme. Acta Oncol. 2008;47:691–703.
   PubMed Web of Science ®Google Scholar
• Schmidt M, Pedersen L, Sorensen HT. The Danish Civil Registration System as a tool in epidemiology. Eur J Epidemiol. 2014;29:541–549.
   PubMed Web of Science ®Google Scholar
• Schmidt M, Schmidt SA, Sandegaard JL, et al. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–490.
   PubMed Web of Science ®Google Scholar
• Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383.
   PubMedGoogle Scholar
• Lash TL, Fox MP, Thwin SS, et al. Using probabilistic corrections to account for abstractor agreement in medical record reviews. Am J Epidemiol. 2007;165:1454–1461.
   PubMed Web of Science ®Google Scholar
• Thwin SS, Clough-Gorr KM, McCarty MC, et al. Automated inter-rater reliability assessment and electronic data collection in a multi-center breast cancer study. BMC Med Res Methodol. 2007;7:23.
   PubMed Web of Science ®Google Scholar
• Silliman RA, Guadagnoli E, Rakowski W, et al. Adjuvant tamoxifen prescription in women 65 years and older with primary breast cancer. J Clin Oncol. 2002;20:2680–2688.
   PubMed Web of Science ®Google Scholar
• Roberts C. Modelling patterns of agreement for nominal scales. Stat Med. 2008;27:810–830.
   PubMed Web of Science ®Google Scholar
• Rostgaard K, Holst H, Mouridsen HT, et al. Do clinical databases render population-based cancer registers obsolete? The example of breast cancer in Denmark. Cancer Causes Control. 2000;11:669–674.
   PubMed Web of Science ®Google Scholar
• Rothman KJ, Greenland S, Lash TL, Modern epidemiology. 3rd ed. Philadelphia (PA): Lippincott Williams & Wilkins; 2008.
   Google Scholar
• Pan K, Chlebowski RT. Adjuvant endocrine therapy of perimenopausal and recently postmenopausal women with hormone receptor-positive breast cancer. Clin Breast Cancer. 2014; 14:147–153.
   PubMed Web of Science ®Google Scholar
• Torino F, Barnabei A, De Vecchis L, et al. Recognizing menopause in women with amenorrhea induced by cytotoxic chemotherapy for endocrine-responsive early breast cancer. Endocr Relat Cancer. 2012;19:R21–R33.
   PubMed Web of Science ®Google Scholar
• Rodgers A, MacMahon S. Systematic underestimation of treatment effects as a result of diagnostic test inaccuracy: implications for the interpretation and design of thromboprophylaxis trials. Thromb Haemost. 1995;73:167–171.
   PubMed Web of Science ®Google Scholar
• Rothman KJ, Greenland S, Lash TL. Validity in epidemiologic studies. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. Philadelphia (PA): Lippincott Williams & Wilkins; 2008. p. 128–147.
   Google Scholar