Relationship Between Age and Axillary Lymph Node Involvement in Women With Breast Cancer
作者： Hans Wildiers , Ben Van Calster , Lonneke V. van de Poll-Franse , Wouter Hendrickx , Jo Røislien
关键词: Oncology 、 Population 、 Cancer registry 、 Breast disease 、 Gynecology 、 Cancer 、 Logistic regression 、 Odds ratio 、 Medicine 、 Breast cancer 、 Lymph node 、 Internal medicine
摘要: Purpose To study the relation between presence of axillary lymph node (LN) involvement and age in breast cancer. Patients Methods The cancer database University Hospitals Leuven contains complete data on 2,227 patients with early consecutively treated 2000 2005. A multivariate piecewise logistic regression model was used to analyze LN at diagnosis. similar analysis then performed a large, independent, population-based from Eindhoven Cancer Registry investigate whether effects could be replicated. Results We observed effect age. That is, women up 70 years were less likely have positive LNs increasing (odds ratio per 10-year increase, 0.87). In contrast, older more However, for women, interacted tumor size (P = .0044), suggesting that is assoc...
narcis.nl参考文章(27)
L Balducci, J Yates, General guidelines for the management of older patients with cancer. Oncology. ,vol. 14, pp. 221- 227 ,(2000)
Clark Gm, The biology of breast cancer in older women. Journal of Gerontology. ,vol. 47, pp. 19- 23 ,(1992)
Randomized trial comparing axillary clearance versus no axillary clearance in older patients with breast cancer: first results of International Breast Cancer Study Group Trial 10-93. Journal of Clinical Oncology. ,vol. 24, pp. 337- 344 ,(2004) , 10.1200/JCO.2005.01.5784
Rachana Singh, Samuel Hellman, Ruth Heimann, The natural history of breast carcinoma in the elderly: implications for screening and treatment Cancer. ,vol. 100, pp. 1807- 1813 ,(2004) , 10.1002/CNCR.20206
William S. Cleveland, Susan J. Devlin, Eric Grosse, Regression by local fitting: Methods, properties, and computational algorithms Journal of Econometrics. ,vol. 37, pp. 87- 114 ,(1988) , 10.1016/0304-4076(88)90077-2
P. Neven, B. Van Calster, I. Van den Bempt, S. Van Huffel, V. Van Belle, W. Hendrickx, J. Decock, H. Wildiers, R. Paridaens, F. Amant, K. Leunen, P. Berteloot, D. Timmerman, E. Van Limbergen, C. Weltens, W. Van den Bogaert, A. Smeets, I. Vergote, M. R. Christiaens, M. Drijkoningen, Age interacts with the expression of steroid and HER-2 receptors in operable invasive breast cancer. Breast Cancer Research and Treatment. ,vol. 110, pp. 153- 159 ,(2008) , 10.1007/S10549-007-9687-4
Pascal Bonnier, Sylvie Romain, Colette Charpin, Christiane Lejeune, Nicole Tubiana, Pierre-Marie Martin, Lucien Piana, Age as a prognostic factor in breast cancer: relationship to pathologic and biologic features. International Journal of Cancer. ,vol. 62, pp. 138- 144 ,(1995) , 10.1002/IJC.2910620205
A. Ezzat, M.A. Raja, F. Zwaan, M. Brigden, A. Rostom, S. Bazarbashi, The lack of age as a significant prognostic factor in nonmetastatic breast cancer Ejso. ,vol. 24, pp. 23- 27 ,(1998) , 10.1016/S0748-7983(98)80120-0
G. Zavagno, F. Meggiolaro, A. Pluchinotta, F. Bozza, F. Favretti, R. Marconato, G. Geraci, R. Nistri, P. Fontana, P. Sorrentino, F. Lumachi, A. Toniato, C.R. Rossi, M. Lise, Influence of age and menopausal status on pathologic and biologic features of breast cancer. The Breast. ,vol. 9, pp. 320- 328 ,(2000) , 10.1054/BRST.1999.0147
Fred S. Guthery, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach The Journal of Wildlife Management. ,vol. 67, pp. 655- ,(2003) , 10.2307/3802723