Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model. Export

@article{citeulike:4079671, abstract = {The majority of candidates for breast cancer prevention have not accepted tamoxifen because of the perception of an unfavorable risk/benefit ratio and the acceptance of raloxifene remains to be determined. One means of improving this ratio is to identify women at very high risk of breast cancer. Family history, age, atypia in a benign biopsy, and reproductive factors are the main parameters currently used to determine risk. The most powerful risk factor, mammographic density, is not presently employed routinely. Other potentially important factors are plasma estrogen and androgen levels, bone density, weight gain, age of menopause, and fracture history, which are also not currently used in a comprehensive risk prediction model because of lack of prospective validation. The Breast Cancer Prevention Collaborative Group (BCPCG) met to critically examine and prioritize risk factors that might be selected for further testing by multivariate analysis using existing clinical material. The BCPCG reached a consensus that quantitative breast density, state of the art plasma estrogen and androgen measurements, history of fracture and height loss, BMI, and waist-hip ratio had sufficient priority for further testing. As a practical approach, these parameters could be added to the existing Tyrer-Cuzick model which encompasses factors included in both the Claus and Gail models. The BCPCG analyzed potentially available clinical material from previous prospective studies and determined that a large case/control study to evaluate these new factors might be feasible at this time.}, author = {Santen, Richard J. and Boyd, Norman F. and Chlebowski, Rowan T. and Cummings, Steven and Cuzick, Jack and Dowsett, Mitch and Easton, Douglas and Forbes, John F. and Key, Tim and Hankinson, Susan E. and Howell, Anthony and Ingle, James and {Breast Cancer Prevention Collaborative Group}}, citeulike-article-id = {4079671}, citeulike-linkout-0 = {http://dx.doi.org/10.1677/ERC-06-0045}, citeulike-linkout-1 = {http://erc.endocrinology-journals.org/cgi/content/abstract/14/2/169}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17639036}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17639036}, day = {1}, doi = {10.1677/ERC-06-0045}, issn = {1351-0088}, journal = {Endocrine-related cancer}, keywords = {background, breast, cancer, model, prediction, risk-factors, superlist, thelist}, month = {June}, number = {2}, pages = {169--187}, posted-at = {2009-02-22 11:17:06}, priority = {2}, title = {Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model.}, url = {http://dx.doi.org/10.1677/ERC-06-0045}, volume = {14}, year = {2007} }

TY - JOUR ID - citeulike:4079671 L3 - citeulike-article-id:4079671 N2 - The majority of candidates for breast cancer prevention have not accepted tamoxifen because of the perception of an unfavorable risk/benefit ratio and the acceptance of raloxifene remains to be determined. One means of improving this ratio is to identify women at very high risk of breast cancer. Family history, age, atypia in a benign biopsy, and reproductive factors are the main parameters currently used to determine risk. The most powerful risk factor, mammographic density, is not presently employed routinely. Other potentially important factors are plasma estrogen and androgen levels, bone density, weight gain, age of menopause, and fracture history, which are also not currently used in a comprehensive risk prediction model because of lack of prospective validation. The Breast Cancer Prevention Collaborative Group (BCPCG) met to critically examine and prioritize risk factors that might be selected for further testing by multivariate analysis using existing clinical material. The BCPCG reached a consensus that quantitative breast density, state of the art plasma estrogen and androgen measurements, history of fracture and height loss, BMI, and waist-hip ratio had sufficient priority for further testing. As a practical approach, these parameters could be added to the existing Tyrer-Cuzick model which encompasses factors included in both the Claus and Gail models. The BCPCG analyzed potentially available clinical material from previous prospective studies and determined that a large case/control study to evaluate these new factors might be feasible at this time. IS - 2 JF - Endocrine-related cancer SN - 1351-0088 EP - 187 TI - Critical assessment of new risk factors for breast cancer: considerations for development of an improved risk prediction model. VL - 14 SP - 169 KW - background KW - breast KW - cancer KW - model KW - prediction KW - risk-factors KW - superlist KW - thelist AU - Santen, Richard AU - Boyd, Norman AU - Chlebowski, Rowan AU - Cummings, Steven AU - Cuzick, Jack AU - Dowsett, Mitch AU - Easton, Douglas AU - Forbes, John AU - Key, Tim AU - Hankinson, Susan AU - Howell, Anthony AU - Ingle, James PY - 2007/06/01/ UR - http://dx.doi.org/10.1677/ERC-06-0045 ER -