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Items: 8

1.

Breast cancer risk assessment in the Czech female population--an adjustment of the original Gail model.

Novotny J, Pecen L, Petruzelka L, Svobodnik A, Dusek L, Danes J, Skovajsova M.

Breast Cancer Res Treat. 2006 Jan;95(1):29-35.

PMID:
16319995
2.

Understanding mathematical models for breast cancer risk assessment and counseling.

Euhus DM.

Breast J. 2001 Jul-Aug;7(4):224-32. Review.

PMID:
11678799
3.

Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.

Williams C, Brunskill S, Altman D, Briggs A, Campbell H, Clarke M, Glanville J, Gray A, Harris A, Johnston K, Lodge M.

Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. Review.

4.

Strengths and limitations of breast cancer risk assessment.

Baltzell K, Wrensch MR.

Oncol Nurs Forum. 2005 May 10;32(3):605-16. Review.

PMID:
15897935
5.

Risk prediction models of breast cancer: a systematic review of model performances.

Anothaisintawee T, Teerawattananon Y, Wiratkapun C, Kasamesup V, Thakkinstian A.

Breast Cancer Res Treat. 2012 May;133(1):1-10. doi: 10.1007/s10549-011-1853-z. Review.

PMID:
22076477
6.

A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.

Meads C, Ahmed I, Riley RD.

Breast Cancer Res Treat. 2012 Apr;132(2):365-77. doi: 10.1007/s10549-011-1818-2. Review.

PMID:
22037780
7.

Available models for breast cancer risk assessment: how accurate are they?

Tchou J, Morrow M.

J Am Coll Surg. 2003 Dec;197(6):1029-35. Review. No abstract available.

PMID:
14644292
8.

Legal liability and the uncertain nature of risk prediction: the case of breast cancer risk prediction models.

Black L, Knoppers BM, Avard D, Simard J.

Public Health Genomics. 2012;15(6):335-40. doi: 10.1159/000342138. Review.

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