Scientific Concept of the National Cohort (status ... - Nationale Kohorte

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C.3 References 17. Keil, U., et al., Risikoabschätzung tödlicher Herz-Kreislauf-Erkrankungen. Die neuen SCORE-Deutschland-Tabellen für die Primärprävention. Deutsches Ärzteblatt, 2005. 102(25): p. A1808-1812. 18. Schulze, M., et al., Der Deutsche Diabetes-Risiko-Score (DRS). ERNAHRUNGSUMSCHAU, 2007. 54(3): p. 122. 19. Lindström, J. and J. Tuomilehto, The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care, 2003. 26(3): p. 725-31. 20. Erbel, R., et al., Coronary Risk Stratification, Discrimination, and Reclassification Improvement Based on Quantification of Subclinical Coronary Atherosclerosis: The Heinz Nixdorf Recall Study. Journal of the American College of Cardiology, 2010. 56(17): p. 1397-1406. 21. Gail, M.H., et al., Projecting Individualized Probabilities of Developing Breast Cancer for White Females Who Are Being Examined Annually. Journal of the National Cancer Institute, 1989. 81(24): p. 1879-1886. 22. Wacholder, S., et al., Performance of Common Genetic Variants in Breast-Cancer Risk Models. New England Journal of Medicine, 2010. 362(11): p. 986-993. 23. Greenland, P., et al., 2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines Developed in Collaboration With the American Society of Echocardiography, American Society of Nuclear Cardiology, Society of Atherosclerosis Imaging and Prevention, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. Journal of the American College of Cardiology, 2010. 56(25): p. 2182-2199. 24. Ridker, P.M., et al., Development and Validation of Improved Algorithms for the Assessment of Global Cardiovascular Risk in Women. JAMA: The Journal of the American Medical Association, 2007. 297(6): p. 611-619. 25. Melander, O., et al., Novel and Conventional Biomarkers for Prediction of Incident Cardiovascular Events in the Community. JAMA: The Journal of the American Medical Association, 2009. 302(1): p. 49-57. 26. van Zitteren, M., et al., Genome-Based Prediction of Breast Cancer Risk in the General Population: A Modeling Study Based on Meta-Analyses of Genetic Associations. Cancer Epidemiology Biomarkers & Prevention, 2011. 20(1): p. 9-22. 27. Thanassoulis, G. and R.S. Vasan, Genetic Cardiovascular Risk Prediction: Will We Get There? Circulation, 2010. 122(22): p. 2323-2334. 28. Ruchat, S.-M., et al., Combining genetic markers and clinical risk factors improves the risk assessment of impaired glucose metabolism. Annals of Medicine, 2010. 42(3): p. 196-206. 29. Blennow, K., et al., Cerebrospinal fluid and plasma biomarkers in Alzheimer disease. Nat Rev Neurol, 2010. 6(3): p. 131-144. 30. Prentice, R., Design issues in cohort studies. Statistical Methods in Medical Research, 1995. 4(4): p. 273. 31. Wickramaratne, P., Sample size determination in epidemiologic studies. Statistical Methods in Medical Research, 1995. 4(4): p. 311. 288
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The National Cohort A prospective e
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Applicants Applicants Applicants Cl
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Applicants IV
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Executive Summary 2. The National C
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Executive Summary 3. Scientific aim
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Executive Summary essary to address
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Executive Summary 7. Examples for s
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Contents A.2.4 major areas of expos
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Contents A.3.8.2 Social security da
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Contents A.6.4.2 Minimally detectab
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Abbreviations C.2 mEThOdS fOr STATI
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Abbreviations DXA Dual-energy x-ray
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Abbreviations CHS Cardiovascular He
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A.1 A.1 Introduction and overview a
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A.1 A.1 Introduction and overview s
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A.1 A.1 Introduction and overview T
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A.1 A.1 Introduction and overview s
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A.1 A.1 Introduction and overview
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A.1 A.1 Introduction and overview t
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A.1 A.1 Introduction and overview A
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A.2 A.2. Scientific background and
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A.3 A.3 Study design ment instrumen
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A.3 A.3 Study design Table 3.2: Des
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A.3 A.3 Study design Table 3.3: Dis
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A.3 A.3 Study design the participan
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A.3 A.3 Study design with a prepare
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A.3 A.3 Study design rural areas, t
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A.3 A.3 Study design A.3.2 Baseline
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A.3 A.3 Study design Modules 70 Int
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A.3 A.3 Study design ovarian carcin
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A.3 A.3 Study design Table 3.5: Spe
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A.3 A.3 Study design depression and
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A.3 A.3 Study design to the extent
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A.3 A.3 Study design ers to vaccina
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A.3 A.3 Study design certain foods)
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A.3 A.3 Study design A short instru
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A.3 A.3 Study design ticipants and
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A.3 A.3 Study design a resting time
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A.3 A.3 Study design index, convent
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A.3 A.3 Study design Although the i
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A.3 A.3 Study design air and then t
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A.3 A.3 Study design hemorrhages (0
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A.3 A.3 Study design genetics of BM
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A.3 A.3 Study design hand grip stre
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A.3 A.3 Study design Project title
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A.3 A.3 Study design diseases in va
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A.3 A.3 Study design associations,
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A.3 A.3 Study design Informed Conse
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A.3 A.3 Study design 6. Since being
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A.3 A.3 Study design the possible d
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A.3 A.3 Study design A.3.5 Collecti
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A.3 A.3 Study design Blood In addit
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A.3 A.3 Study design the anterior n
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A.3 A.3 Study design study. For exa
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A.3 A.3 Study design large-size sto
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A.3 A.3 Study design routinely prep
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A.3 A.3 Study design Subjects who m
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A.3 A.3 Study design A.3.6.3 reliab
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A.3 A.3 Study design In addition, a
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A.3 A.3 Study design Disease Questi
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A.3 A.3 Study design Data routinely
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A.3 A.3 Study design tial misclassi
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A.3 A.3 Study design � The KORA c
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A.3 A.3 Study design Table 3.16: Co
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A.3 A.3 Study design Table 3.17: Co
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A.4 A.4 Integrated Data Management
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A.5 A.5 Methods for quality assuran
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A.6 A.6 Planned statistical analyse
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A.6 A.6 Table Planned 6.4: Expected
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A.6 Planned statistical analyses an
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A.7 A.7 Ethical aspects logical/gen
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A.7 A.7 Ethical aspects The more ex
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A.7 A.7 Ethical aspects Data handli
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A.7 Table 7.2 Availability of ident
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A.7 A.7 Ethical aspects ing finding
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C.1 C.1 Annex: Description of the s
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Page 298 and 299: C.3 References 50. Benjamin, E.J.,
Page 300 and 301: C.3 References 85. Calle, E.E. and
Page 302 and 303: C.3 References 121. Walter, R., D.J
Page 304 and 305: C.3 References 155. Ross, R., Ather
Page 306 and 307: C.3 References 189. Ghiotto, F., et
Page 308 and 309: C.3 References 225. Schmidt, C.O.,
Page 310 and 311: C.3 References 260. Eussen, S., et
Page 312 and 313: C.3 References 294. McCrae, R.R. an
Page 314 and 315: C.3 References 327. Lynch, J.W., G.
Page 316 and 317: C.3 References 360. Mair, C., A.V.
Page 318 and 319: C.3 References 395. Lesourd, B., Nu
Page 320 and 321: C.3 References 431. Statistisches B
Page 322 and 323: C.3 References 462. Bundeszentrale
Page 324 and 325: C.3 References 494. Rammstedt, B. a
Page 326 and 327: C.3 References 526. Mack, F., et al
Page 328 and 329: C.3 References 560. Palatini, P., A
Page 330 and 331: C.3 References 590. Greenland, P.,
Page 332 and 333: C.3 References 623. Olin, A.C., et
Page 334 and 335: C.3 References 658. Pate, R.R., J.R
Page 336 and 337: C.3 References 691. Zenge, M.O., et
Page 338 and 339: C.3 References 727. Ryu, O.H., et a
Page 340 and 341: C.3 References 757. BSI-Standard 10
Page 342 and 343: C.3 References 790. Davis, C.E., et
Page 344: C.3 References 822. Hegenscheid, K.
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