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Items: 1 to 20 of 136

1.

Effect of changing breast cancer incidence rates on the calibration of the Gail model.

Schonfeld SJ, Pee D, Greenlee RT, Hartge P, Lacey JV Jr, Park Y, Schatzkin A, Visvanathan K, Pfeiffer RM.

J Clin Oncol. 2010 May 10;28(14):2411-7. doi: 10.1200/JCO.2009.25.2767. Epub 2010 Apr 5.

2.

Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies.

Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P.

PLoS Med. 2013;10(7):e1001492. doi: 10.1371/journal.pmed.1001492. Epub 2013 Jul 30.

3.

Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study.

Pastor-Barriuso R, Ascunce N, Ederra M, Erdozáin N, Murillo A, Alés-Martínez JE, Pollán M.

Breast Cancer Res Treat. 2013 Feb;138(1):249-59. doi: 10.1007/s10549-013-2428-y. Epub 2013 Feb 3.

4.

Assessing risk of breast cancer in an ethnically South-East Asia population (results of a multiple ethnic groups study).

Gao F, Machin D, Chow KY, Sim YF, Duffy SW, Matchar DB, Goh CH, Chia KS.

BMC Cancer. 2012 Nov 19;12:529. doi: 10.1186/1471-2407-12-529.

5.

Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.

Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA.

J Natl Cancer Inst. 2001 Mar 7;93(5):358-66.

PMID:
11238697
6.

Evaluating breast cancer risk projections for Hispanic women.

Banegas MP, Gail MH, LaCroix A, Thompson B, Martinez ME, Wactawski-Wende J, John EM, Hubbell FA, Yasmeen S, Katki HA.

Breast Cancer Res Treat. 2012 Feb;132(1):347-53. doi: 10.1007/s10549-011-1900-9. Epub 2011 Dec 7.

7.

Validation of a breast cancer risk prediction model developed for Black women.

Boggs DA, Rosenberg L, Pencina MJ, Adams-Campbell LL, Palmer JR.

J Natl Cancer Inst. 2013 Mar 6;105(5):361-7. doi: 10.1093/jnci/djt008. Epub 2013 Feb 14.

8.

Incidence of invasive breast cancer in the presence of competing mortality: the Canadian National Breast Screening Study.

Taghipour S, Banjevic D, Fernandes J, Miller AB, Montgomery N, Harvey BJ, Jardine AK.

Breast Cancer Res Treat. 2012 Jul;134(2):839-51. doi: 10.1007/s10549-012-2113-6. Epub 2012 Jun 12.

PMID:
22689090
9.

Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.

Chen J, Pee D, Ayyagari R, Graubard B, Schairer C, Byrne C, Benichou J, Gail MH.

J Natl Cancer Inst. 2006 Sep 6;98(17):1215-26.

PMID:
16954474
10.

Predicting risk of breast cancer in postmenopausal women by hormone receptor status.

Chlebowski RT, Anderson GL, Lane DS, Aragaki AK, Rohan T, Yasmeen S, Sarto G, Rosenberg CA, Hubbell FA; Women's Health Initiative Investigators.

J Natl Cancer Inst. 2007 Nov 21;99(22):1695-705. Epub 2007 Nov 13.

PMID:
18000216
11.

Projecting individualized absolute invasive breast cancer risk in African American women.

Gail MH, Costantino JP, Pee D, Bondy M, Newman L, Selvan M, Anderson GL, Malone KE, Marchbanks PA, McCaskill-Stevens W, Norman SA, Simon MS, Spirtas R, Ursin G, Bernstein L.

J Natl Cancer Inst. 2007 Dec 5;99(23):1782-92. Epub 2007 Nov 27. Erratum in: J Natl Cancer Inst. 2008 Aug 6;100(15):1118. J Natl Cancer Inst. 2008 Mar 5;100(5):373.

PMID:
18042936
12.

Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population.

Tice JA, Cummings SR, Ziv E, Kerlikowske K.

Breast Cancer Res Treat. 2005 Nov;94(2):115-22.

PMID:
16261410
13.

Validation of the Gail et al. model for predicting individual breast cancer risk.

Spiegelman D, Colditz GA, Hunter D, Hertzmark E.

J Natl Cancer Inst. 1994 Apr 20;86(8):600-7.

PMID:
8145275
14.

Validation studies for models projecting the risk of invasive and total breast cancer incidence.

Costantino JP, Gail MH, Pee D, Anderson S, Redmond CK, Benichou J, Wieand HS.

J Natl Cancer Inst. 1999 Sep 15;91(18):1541-8.

PMID:
10491430
15.

Validation of Rosner-Colditz breast cancer incidence model using an independent data set, the California Teachers Study.

Rosner BA, Colditz GA, Hankinson SE, Sullivan-Halley J, Lacey JV Jr, Bernstein L.

Breast Cancer Res Treat. 2013 Nov;142(1):187-202. doi: 10.1007/s10549-013-2719-3. Epub 2013 Oct 26.

16.
17.

Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older.

Schonberg MA, Li VW, Eliassen AH, Davis RB, LaCroix AZ, McCarthy EP, Rosner BA, Chlebowski RT, Rohan TE, Hankinson SE, Marcantonio ER, Ngo LH.

J Natl Cancer Inst. 2015 Nov 30;108(3). doi: 10.1093/jnci/djv348. Print 2016 Mar.

18.

Baseline mammographic breast density and the risk of invasive breast cancer in postmenopausal women participating in the NSABP study of tamoxifen and raloxifene (STAR).

Cecchini RS, Costantino JP, Cauley JA, Cronin WM, Wickerham DL, Bandos H, Weissfeld JL, Wolmark N.

Cancer Prev Res (Phila). 2012 Nov;5(11):1321-9. doi: 10.1158/1940-6207.CAPR-12-0273. Epub 2012 Oct 11.

19.

Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.

Tice JA, Miglioretti DL, Li CS, Vachon CM, Gard CC, Kerlikowske K.

J Clin Oncol. 2015 Oct 1;33(28):3137-43. doi: 10.1200/JCO.2015.60.8869. Epub 2015 Aug 17.

20.

Breast Cancer Mortality After a Diagnosis of Ductal Carcinoma In Situ.

Narod SA, Iqbal J, Giannakeas V, Sopik V, Sun P.

JAMA Oncol. 2015 Oct;1(7):888-96. doi: 10.1001/jamaoncol.2015.2510.

PMID:
26291673

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