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Results: 1 to 20 of 29

Cited In for PubMed (Select 10880030)

1.

Colorectal cancer risk information presented by a nonphysician assistant does not increase screening rates.

Wilkins T, Gillies RA, Panchal P, Patel M, Warren P, Schade RR.

Can Fam Physician. 2014 Aug;60(8):731-8.

2.

Risk prediction model for colorectal cancer: National Health Insurance Corporation study, Korea.

Shin A, Joo J, Yang HR, Bak J, Park Y, Kim J, Oh JH, Nam BH.

PLoS One. 2014 Feb 12;9(2):e88079. doi: 10.1371/journal.pone.0088079. eCollection 2014.

3.

Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study.

Wells BJ, Kattan MW, Cooper GS, Jackson L, Koroukian S.

J Am Board Fam Med. 2014 Jan-Feb;27(1):42-55. doi: 10.3122/jabfm.2014.01.130040.

4.

Prevalence of advanced colorectal neoplasia in white and black patients undergoing screening colonoscopy in a safety-net hospital.

Schroy PC 3rd, Coe A, Chen CA, O'Brien MJ, Heeren TC.

Ann Intern Med. 2013 Jul 2;159(1):13-20. doi: 10.7326/0003-4819-159-1-201307020-00004.

5.

Evidence-based Guidelines for Precision Risk Stratification-Based Screening (PRSBS) for Colorectal Cancer: Lessons learned from the US Armed Forces: Consensus and Future Directions.

Avital I, Langan RC, Summers TA, Steele SR, Waldman SA, Backman V, Yee J, Nissan A, Young P, Womeldorph C, Mancusco P, Mueller R, Noto K, Grundfest W, Bilchik AJ, Protic M, Daumer M, Eberhardt J, Man YG, BrĂ¼cher BL, Stojadinovic A.

J Cancer. 2013;4(3):172-92. doi: 10.7150/jca.5834. Epub 2013 Mar 1.

6.

Individualized risk prediction model for lung cancer in Korean men.

Park S, Nam BH, Yang HR, Lee JA, Lim H, Han JT, Park IS, Shin HR, Lee JS.

PLoS One. 2013;8(2):e54823. doi: 10.1371/journal.pone.0054823. Epub 2013 Feb 7.

7.

Effects of patient-provider race concordance and smoking status on lung cancer risk perception accuracy among African-Americans.

Persky S, Kaphingst KA, Allen VC Jr, Senay I.

Ann Behav Med. 2013 Jun;45(3):308-17. doi: 10.1007/s12160-013-9475-9.

8.

Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care.

Baer HJ, Schneider LI, Colditz GA, Dart H, Andry A, Williams DH, Orav EJ, Haas JS, Getty G, Whittemore E, Bates DW.

J Gen Intern Med. 2013 Jun;28(6):817-24. doi: 10.1007/s11606-013-2338-z. Epub 2013 Jan 31.

9.

Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model.

Li H, Yang L, Zhao X, Wang J, Qian J, Chen H, Fan W, Liu H, Jin L, Wang W, Lu D.

BMC Med Genet. 2012 Dec 10;13:118. doi: 10.1186/1471-2350-13-118.

10.

Novel application of statistical methods to identify new urinary incontinence risk factors.

Ogunyemi TO, Siadat MR, Arslanturk S, Killinger KA, Diokno AC.

Adv Urol. 2012;2012:276501. doi: 10.1155/2012/276501. Epub 2012 Oct 31.

11.

Prediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II).

Jo J, Nam CM, Sull JW, Yun JE, Kim SY, Lee SJ, Kim YN, Park EJ, Kimm H, Jee SH.

Genomics Inform. 2012 Sep;10(3):175-83. doi: 10.5808/GI.2012.10.3.175. Epub 2012 Sep 28.

12.

The Your Disease Risk Index for colorectal cancer is an inaccurate risk stratification tool for advanced colorectal neoplasia at screening colonoscopy.

Schroy PC 3rd, Coe AM, Mylvaganam SR, Ahn LB, Lydotes MA, Robinson PA, Davis JT, Chen CA, Ashba J, Atkinson ML, Colditz GA, Heeren TC.

Cancer Prev Res (Phila). 2012 Aug;5(8):1044-52. doi: 10.1158/1940-6207.CAPR-12-0014. Epub 2012 Jun 11.

13.

Commentary: eight ways to prevent cancer: a framework for effective prevention messages for the public.

Dart H, Wolin KY, Colditz GA.

Cancer Causes Control. 2012 Apr;23(4):601-8. doi: 10.1007/s10552-012-9924-y. Epub 2012 Feb 26.

14.

Representing randomness in the communication of individualized cancer risk estimates: effects on cancer risk perceptions, worry, and subjective uncertainty about risk.

Han PK, Klein WM, Killam B, Lehman T, Massett H, Freedman AN.

Patient Educ Couns. 2012 Jan;86(1):106-13. doi: 10.1016/j.pec.2011.01.033. Epub 2011 Mar 5.

15.

Communication of uncertainty regarding individualized cancer risk estimates: effects and influential factors.

Han PK, Klein WM, Lehman T, Killam B, Massett H, Freedman AN.

Med Decis Making. 2011 Mar-Apr;31(2):354-66. doi: 10.1177/0272989X10371830. Epub 2010 Jul 29.

16.

Self-affirmation moderates effects of unrealistic optimism and pessimism on reactions to tailored risk feedback.

Klein WM, Lipkus IM, Scholl SM, McQueen A, Cerully JL, Harris PR.

Psychol Health. 2010 Dec;25(10):1195-208. doi: 10.1080/08870440903261970.

17.

Measuring cervical cancer risk: development and validation of the CARE Risky Sexual Behavior Index.

Reiter PL, Katz ML, Ferketich AK, Ruffin MT 4th, Paskett ED.

Cancer Causes Control. 2009 Dec;20(10):1865-71. doi: 10.1007/s10552-009-9380-5.

18.

Laypersons' responses to the communication of uncertainty regarding cancer risk estimates.

Han PK, Klein WM, Lehman TC, Massett H, Lee SC, Freedman AN.

Med Decis Making. 2009 May-Jun;29(3):391-403. doi: 10.1177/0272989X08327396. Epub 2009 May 21.

19.

Family history of hormonal cancers and colorectal cancer risk: a case-control study conducted in Ontario.

Jang JH, Cotterchio M, Gallinger S, Knight JA, Daftary D.

Int J Cancer. 2009 Aug 15;125(4):918-25. doi: 10.1002/ijc.24385.

20.

Anchoring-and-adjustment bias in communication of disease risk.

Senay I, Kaphingst KA.

Med Decis Making. 2009 Mar-Apr;29(2):193-201. doi: 10.1177/0272989X08327395. Epub 2009 Mar 11. Review.

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