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Results: 18

Cited In for PubMed (Select 11076055)

1.

Clinical prediction rules in practice: review of clinical guidelines and survey of GPs.

Plüddemann A, Wallace E, Bankhead C, Keogh C, Van der Windt D, Lasserson D, Galvin R, Moschetti I, Kearley K, O'Brien K, Sanders S, Mallett S, Malanda U, Thompson M, Fahey T, Stevens R.

Br J Gen Pract. 2014 Apr;64(621):e233-42. doi: 10.3399/bjgp14X677860.

2.

Simplifying clinical use of the genetic risk prediction model BRCAPRO.

Biswas S, Atienza P, Chipman J, Hughes K, Barrera AM, Amos CI, Arun B, Parmigiani G.

Breast Cancer Res Treat. 2013 Jun;139(2):571-9. doi: 10.1007/s10549-013-2564-4. Epub 2013 May 21.

3.

Outcomes of a systems-level intervention offering breast cancer risk assessments to low-income underserved women.

Mays D, Sharff ME, DeMarco TA, Williams B, Beck B, Sheppard VB, Peshkin BN, Eng-Wong J, Tercyak KP.

Fam Cancer. 2012 Sep;11(3):493-502. doi: 10.1007/s10689-012-9541-7.

4.

DNA-testing for BRCA1/2 prior to genetic counselling in patients with breast cancer: design of an intervention study, DNA-direct.

Sie AS, Spruijt L, van Zelst-Stams WA, Mensenkamp AR, Ligtenberg MJ, Brunner HG, Prins JB, Hoogerbrugge N.

BMC Womens Health. 2012 May 8;12:12. doi: 10.1186/1472-6874-12-12.

5.

Efficient identification and referral of low-income women at high risk for hereditary breast cancer: a practice-based approach.

Joseph G, Kaplan C, Luce J, Lee R, Stewart S, Guerra C, Pasick R.

Public Health Genomics. 2012;15(3-4):172-80. doi: 10.1159/000336419. Epub 2012 Apr 4. Erratum in: Public Health Genomics. 2015;18(1):65-6.

6.

Components of family history associated with women's disease perceptions for cancer: a report from the Family Healthware™ Impact Trial.

Rubinstein WS, O'neill SM, Rothrock N, Starzyk EJ, Beaumont JL, Acheson LS, Wang C, Gramling R, Galliher JM, Ruffin MT 4th.

Genet Med. 2011 Jan;13(1):52-62. doi: 10.1097/GIM.0b013e3181fbe485.

7.

The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases.

Zanna I, Rizzolo P, Sera F, Falchetti M, Aretini P, Giannini G, Masala G, Gulino A, Palli D, Ottini L.

Eur J Hum Genet. 2010 Jul;18(7):856-8. doi: 10.1038/ejhg.2010.29. Epub 2010 Mar 17.

8.

Literacy assessment of family health history tools for public health prevention.

Wang C, Gallo RE, Fleisher L, Miller SM.

Public Health Genomics. 2011;14(4-5):222-37. doi: 10.1159/000273689. Epub 2010 Jan 4.

9.

Predictors of decision making in families at risk for inherited breast/ovarian cancer.

Mellon S, Janisse J, Gold R, Cichon M, Berry-Bobovski L, Tainsky MA, Simon MS.

Health Psychol. 2009 Jan;28(1):38-47. doi: 10.1037/a0012714.

10.

Selecting a BRCA risk assessment model for use in a familial cancer clinic.

Panchal SM, Ennis M, Canon S, Bordeleau LJ.

BMC Med Genet. 2008 Dec 22;9:116. doi: 10.1186/1471-2350-9-116.

11.

Risk perception and cancer worries in families at increased risk of familial breast/ovarian cancer.

Mellon S, Gold R, Janisse J, Cichon M, Tainsky MA, Simon MS, Korczak J.

Psychooncology. 2008 Aug;17(8):756-66. doi: 10.1002/pon.1370.

12.

Validity of models for predicting BRCA1 and BRCA2 mutations.

Parmigiani G, Chen S, Iversen ES Jr, Friebel TM, Finkelstein DM, Anton-Culver H, Ziogas A, Weber BL, Eisen A, Malone KE, Daling JR, Hsu L, Ostrander EA, Peterson LE, Schildkraut JM, Isaacs C, Corio C, Leondaridis L, Tomlinson G, Amos CI, Strong LC, Berry DA, Weitzel JN, Sand S, Dutson D, Kerber R, Peshkin BN, Euhus DM.

Ann Intern Med. 2007 Oct 2;147(7):441-50.

13.

Predicting BRCA1 and BRCA2 gene mutation carriers: comparison of LAMBDA, BRCAPRO, Myriad II, and modified Couch models.

Lindor NM, Lindor RA, Apicella C, Dowty JG, Ashley A, Hunt K, Mincey BA, Wilson M, Smith MC, Hopper JL.

Fam Cancer. 2007;6(4):473-82. Epub 2007 Jul 17.

14.

Optimal selection for BRCA1 and BRCA2 mutation testing using a combination of 'easy to apply' probability models.

Bodmer D, Ligtenberg MJ, van der Hout AH, Gloudemans S, Ansink K, Oosterwijk JC, Hoogerbrugge N.

Br J Cancer. 2006 Sep 18;95(6):757-62. Epub 2006 Aug 15.

15.

BayesMendel: an R environment for Mendelian risk prediction.

Chen S, Wang W, Broman KW, Katki HA, Parmigiani G.

Stat Appl Genet Mol Biol. 2004;3:Article21. Epub 2004 Sep 17.

16.

Relationship of patients' age to histopathological features of breast tumours in BRCA1 and BRCA2 and mutation-negative breast cancer families.

Eerola H, Heikkilä P, Tamminen A, Aittomäki K, Blomqvist C, Nevanlinna H.

Breast Cancer Res. 2005;7(4):R465-9. Epub 2005 Apr 21.

17.

Histopathological features of breast tumours in BRCA1, BRCA2 and mutation-negative breast cancer families.

Eerola H, Heikkilä P, Tamminen A, Aittomäki K, Blomqvist C, Nevanlinna H.

Breast Cancer Res. 2005;7(1):R93-100. Epub 2004 Nov 19.

18.

A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO.

Evans DG, Eccles DM, Rahman N, Young K, Bulman M, Amir E, Shenton A, Howell A, Lalloo F.

J Med Genet. 2004 Jun;41(6):474-80.

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