Page 88 - The diagnostic work-up of women with postmenopausal bleeding
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Chapter 4
References
1. Gredmark T, Kvint S, Havel G, Mattsson LA. Histopathological findings in women with postmenopausal bleeding. Br J Obstet Gynaecol 1995 Feb;102(2):133-136.
2. Smith-Bindman R, Kerlikowske K, Feldstein VA, Subak L, Scheidler J, Segal M, et al. Endovaginal ultrasound to exclude endometrial cancer and other endometrial abnormalities. JAMA 1998 Nov 4;280(17):1510- 1517.
3. van Hanegem N, Breijer MC, Khan KS, Clark TJ, Burger MP, Mol BW, et al. Diagnostic evaluation of the endometrium in postmenopausal bleeding: an evidence-based approach. Maturitas 2011 Feb;68(2):155- 164.
4. Gupta JK, Chien PF, Voit D, Clark TJ, Khan KS. Ultrasonographic endometrial thickness for diagnosing endometrial pathology in women with postmenopausal bleeding: a meta-analysis. Acta Obstet Gynecol Scand 2002 Sep;81(9):799-816.
5. Timmermans AO,Brent C., Khan KS, Bachmann LM, Epstein EC, T., Justin Gupta JK, Bakour SH, et al. EndometrialThickness Measurement for Detecting Endometrial Cancer inWomenWith Postmenopausal Bleeding: A Systematic Review and Meta-Analysis. Obstetrics & Gynaecology 2010 July;116(1):160-167.
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8. McPherson CP, SellersTA, Potter JD, Bostick RM, Folsom AR. Reproductive factors and risk of endometrial cancer. The Iowa Women’s Health Study. Am J Epidemiol 1996 Jun 15;143(12):1195-1202.
9. van Doorn LC, Dijkhuizen FP, Kruitwagen RF, Heintz AP, Kooi GS, Mol BW, et al. Accuracy of transvaginal ultrasonography in diabetic or obese women with postmenopausal bleeding. Obstet Gynecol 2004 Sep;104(3):571-578.
10. Weiderpass E, Persson I, Adami HO, Magnusson C, Lindgren A, Baron JA. Body size in different periods of life, diabetes mellitus, hypertension, and risk of postmenopausal endometrial malignancy (Sweden). Cancer Causes Control 2000 Feb;11(2):185-192.
11. Xu WH, Xiang YB, Ruan ZX, Zheng W, Cheng JR, Dai Q, et al. Menstrual and reproductive factors and endometrial cancer risk: Results from a population-based case-control study in urban Shanghai. Int J Cancer 2004 Feb 10;108(4):613-619.
12. Reeves GK,Pirie K,BeralV,Green J,Spencer E,Bull D,et al.Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study. BMJ 2007 Dec 1;335(7630):1134.
13. van Hanegem N, Breijer MC, Opmeer BC, Mol BW,Timmermans A. Prediction models in women with postmenopausal bleeding: a systematic review. Womens Health (Lond Engl) 2012 May;8(3):251-262.
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15. Opolskiene G, Sladkevicius P,Valentin L. Prediction of endometrial cancer in women with postmenopausal bleeding and sonographic endometrial thickness >/= 4.5 mm. Ultrasound Obstet Gynecol 2011 Feb;37(2):232-240.
16. Opmeer BC, van Doorn HC, Heintz AP, Burger CW, Bossuyt PM, Mol BW. Improving the existing diagnostic strategy by accounting for characteristics of the women in the diagnostic work-up for postmenopausal bleeding. BJOG 2007 Jan;114(1):51-58.
17. Clark TG, Altman DG. Developing a prognostic model in the presence of missing data: an ovarian cancer case study. J Clin Epidemiol 2003 Jan;56(1):28-37.
18. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res 1999 Mar;8(1):3-15.
19. van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med 1999 Mar 30;18(6):681-694.
20. Steyerberg EW. Calibration. In: Clinical prediction models - A practical approach to development, validation and updating. Springer; 2009. p. 270-278.
21. Janssen KJ, Moons KG, Kalkman CJ, Grobbee DE, Vergouwe Y. Updating methods improved the performance of a clinical prediction model in new patients. J Clin Epidemiol 2008 Jan;61(1):76-86.
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