- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Reviewers Acknowledgment
- Submit a Manuscript
- Subscription Information
- Table of Contents
International Journal of Surgical Oncology
Volume 2012 (2012), Article ID 127854, 9 pages
Survival Implications Associated with Variation in Mastectomy Rates for Early-Staged Breast Cancer
1College of Pharmacy, University of Iowa, Iowa City, IA 52242, USA
2College of Public Health, University of Iowa, Iowa City, IA 52242, USA
3Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA
4Eshelman School of Pharmacy, University of North Carolina, Chapell Hill, NC 27599, USA
5Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA 02115, USA
6Division of General Internal Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA 02120, USA
Received 23 March 2012; Revised 23 May 2012; Accepted 25 June 2012
Academic Editor: Steven Heys
Copyright © 2012 John M. Brooks et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- R. Arriagada, M. G. Lê, F. Rochard, and G. Contesso, “Conservative treatment versus mastectomy in early breast cancer: patterns of failure with 15 years of follow-up data,” Journal of Clinical Oncology, vol. 14, no. 5, pp. 1558–1564, 1996.
- U. Veronesi, A. Banfi, B. Salvadori et al., “Breast conservation is the treatment of choice in small breast cancer: long-term results of a randomized trial,” European Journal of Cancer, vol. 26, no. 6, pp. 668–670, 1990.
- B. Fisher, S. Anderson, C. K. Redmond, N. Wolmark, D. L. Wickerham, and W. M. Cronin, “Reanalysis and results after 12 years of follow-up in a randomized clinical trial comparing total mastectomy with lumpectomy with or without irradiation in the treatment of breast cancer,” The New England Journal of Medicine, vol. 333, no. 22, pp. 1456–1461, 1995.
- J. A. Jacobson, D. N. Danforth, K. H. Cowan et al., “Ten-year results of a comparison of conservation with mastectomy in the treatment of stage I and II breast cancer,” The New England Journal of Medicine, vol. 332, no. 14, pp. 907–911, 1995.
- J. A. van Dongen, A. C. Voogd, I. S. Fentiman et al., “Long-term results of a randomized trial comparing breast-conserving therapy with mastectomy: European organization for research and treatment of cancer 10801 trial,” Journal of the National Cancer Institute, vol. 92, no. 14, pp. 1143–1150, 2000.
- NIH Consensus Conference, “Treatment of early-stage breast cancer,” The Journal of the American Medical Association, vol. 265, pp. 391–397, 1991.
- T. M. Tuttle, E. B. Habermann, E. H. Grund, T. J. Morris, and B. A. Virnig, “Increasing use of contralateral prophylactic mastectomy for breast cancer patients: a trend toward more aggressive surgical treatment,” Journal of Clinical Oncology, vol. 25, no. 33, pp. 5203–5209, 2007.
- N. L. Keating, M. B. Landrum, J. M. Brooks et al., “Outcomes following local therapy for early-stage breast cancer in non-trial populations,” Breast Cancer Research and Treatment, vol. 125, no. 3, pp. 803–813, 2011.
- R. Katipamula, A. C. Degnim, T. Hoskin et al., “Trends in mastectomy rates at the Mayo Clinic Rochester: effect of surgical year and preoperative magnetic resonance imaging,” Journal of Clinical Oncology, vol. 27, no. 25, pp. 4082–4088, 2009.
- M. A. Schonberg, E. R. Marcantonio, D. Li, R. A. Silliman, L. Ngo, and E. P. McCarthy, “Breast cancer among the oldest old: tumor characteristics, treatment choices, and survival,” Journal of Clinical Oncology, vol. 28, no. 12, pp. 2038–2045, 2010.
- A. L. Potosky, G. F. Riley, J. D. Lubitz, R. M. Mentnech, and L. G. Kessler, “Potential for cancer related health services research using a linked Medicare-tumor registry database,” Medical Care, vol. 31, no. 8, pp. 732–748, 1993.
- D. B. Rubin, “The central role of the propensity score in observational studies for causal effects,” Biometrika, vol. 70, no. 1, pp. 41–55, 1983.
- D. B. Rubin, “Estimating causal effects from large data sets using propensity scores,” Annals of Internal Medicine, vol. 127, no. 8, pp. 757–763, 1997.
- J. D. Angrist, “Treatment effect heterogeneity in theory and practice,” The Economic Journal, vol. 114, no. 494, pp. C52–C83, 2004.
- J. M. Brooks and E. A. Chrischilles, “Heterogeneity and the interpretation of treatment effect estimates from risk adjustment and instrumental variable methods,” Medical Care, vol. 45, no. 10, pp. S123–S130, 2007.
- J. M. Brooks and G. Fang, “Interpreting treatment-effect estimates with heterogeneity and choice: simulation model results,” Clinical Therapeutics, vol. 31, no. 4, pp. 902–919, 2009.
- J. J. Heckman, S. Urzua, and E. Vytlacil, “Understanding instrumental variables in models with essential heterogeneity,” The Review of Economics and Statistics, vol. 88, no. 3, pp. 389–432, 2006.
- G. Fang, J. M. Brooks, and E. A. Chrischilles, “Apples and oranges? Interpretations of risk adjustment and instrumental variable estimates of intended treatment effects using observational data,” American Journal of Epidemiology, vol. 175, no. 1, pp. 60–65, 2012.
- J. J. Heckman, “Econometric causality,” International Statistical Review, vol. 76, no. 1, pp. 1–27, 2008.
- J. J. Heckman and R. Robb, “Alternative methods for evaluating the impact of interventions,” in Longitudinal Analysis of Labor Market Data, J. J. Heckman and B. Singer, Eds., pp. 156–245, Cambridge University Press, New York, NY, USA, 1985.
- J. D. Angrist, G. W. Imbens, and D. B. Rubin, “Identification of causal effects using instrumental variables,” Journal of the American Statistical Association, vol. 91, no. 434, pp. 444–472, 1996.
- G. W. Imbens and J. D. Angrist, “Identification and estimation of local average treatment effects,” Econometrica, vol. 62, no. 2, pp. 467–475, 1994.
- D. Staiger and J. H. Stock, “Instrumental variables regression with weak instruments,” Econometrica, vol. 65, no. 3, pp. 557–586, 1997.
- J. D. Angrist and A. B. Krueger, “Instrumental variables and the search for identification: from supply and demand to natural experiments,” Journal of Economic Perspectives, vol. 15, no. 4, pp. 69–85, 2001.
- J. M. Brooks, E. A. Chrischilles, S. D. Scott, and S. S. Chen-Hardee, “Was breast conserving surgery underutilized for early stage breast cancer? Instrumental variables evidence for stage II patients from Iowa,” Health Services Research, vol. 38, no. 6, pp. 1385–1402, 2003.
- J. Hadley, D. Polsky, J. S. Mandelblatt et al., “An exploratory instrumental variable analysis of the outcomes of localized breast cancer treatments in a medicare population,” Health Economics, vol. 12, no. 3, pp. 171–186, 2003.
- J. M. Brooks, M. McClellan, and H. S. Wong, “The marginal benefits of invasive treatments for acute myocardial infarction: does insurance coverage matter?” Inquiry, vol. 37, no. 1, pp. 75–90, 2000.
- M. A. Brookhart, P. S. Wang, D. H. Solomon, and S. Schneeweiss, “Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable,” Epidemiology, vol. 17, no. 3, pp. 268–275, 2006.
- J. A. Rassen, M. A. Brookhart, R. J. Glynn, M. A. Mittleman, and S. Schneeweiss, “Instrumental variables II: instrumental variable application-in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance,” Journal of Clinical Epidemiology, vol. 62, no. 12, pp. 1233–1241, 2009.
- T. A. Stukel, E. S. Fisher, D. E. Wennberg, D. A. Alter, D. J. Gottlieb, and M. J. Vermeulen, “Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods,” The Journal of the American Medical Association, vol. 297, no. 3, pp. 278–285, 2007.
- G. Fang, J. M. Brooks, and E. A. Chrischilles, “Comparison of instrumental variable analysis using a new instrument with risk adjustment methods to reduce confounding by indication,” American Journal of Epidemiology, vol. 175, no. 11, pp. 1142–1151, 2012.
- G. Fang, J. M. Brooks, and E. A. Chrischilles, “A new method to isolate local-area practice styles in prescription use as the basis for instrumental variables in comparative effectiveness research,” Medical Care, vol. 48, no. 8, pp. 710–717, 2010.
- A. Basu, J. J. Heckman, S. Navarro-Lozano, and S. Urzua, “Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients,” Health Economics, vol. 16, no. 11, pp. 1133–1157, 2007.
- M. McClellan, B. J. McNeil, and J. P. Newhouse, “Does more intensive treatment of acute myocardial infarction in the elderly reduce mortality? Analysis using instrumental variables,” The Journal of the American Medical Association, vol. 272, no. 11, pp. 859–866, 1994.
- J. D. Angrist, “Estimation of limited dependent variable models with dummy endogenous regressors: simple strategies for empirical practice,” Journal of Business & Economic Statistics, vol. 19, no. 1, pp. 2–16, 2001.
- J. D. Angrist and J.-S. Pischke, Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University Press, Princeton, NJ, USA, 2009.
- J. A. Hausman, “Specification and estimation of simultaneous equation models,” in Handbook of Econometrics, Z. Griliches and M. D. Intriligator, Eds., vol. 1, pp. 392–448, North-Holland, New York, NY, USA, 1983.
- G. S. Cooper, B. A. Virnig, C. N. Klabunde, N. Schussler, J. L. Freeman, and J. L. Warren, “Use of SEER-Medicare data for measuring cancer surgery,” Medical Care, vol. 40, supplement 8, pp. IV43–IV48, 2002.
- X. Du, J. L. Freeman, and J. S. Goodwin, “Information on radiation treatment in patients with breast cancer: the advantages of the linked Medicare and SEER data,” Journal of Clinical Epidemiology, vol. 52, no. 5, pp. 463–470, 1999.
- N. L. Keating, M. B. Landrum, J. Z. Ayanian, E. P. Winer, and E. Guadagnoli, “Consultation with a medical oncologist before surgery and type of surgery among elderly women with early-stage breast cancer,” Journal of Clinical Oncology, vol. 21, no. 24, pp. 4532–4539, 2003.
- N. L. Keating, M. B. Landrum, E. Meara, P. A. Ganz, and E. Guadagnoli, “Do increases in the market share of managed care influence quality of cancer care in the fee-for-service sector?” Journal of the National Cancer Institute, vol. 97, no. 4, pp. 257–264, 2005.
- W. G. Cochran, “Some methods of strengthening the common chi-squared tests,” Biometrics, vol. 10, pp. 417–451, 1954.
- P. Armitage, “Tests for linear trends in proportions and frequencies,” Biometrics, vol. 11, pp. 375–386, 1955.
- G. Chow, “Tests of equality between sets of coeffiecients in two linear models,” Econometrica, vol. 28, no. 3, pp. 591–605, 1960.
- J. J. Heckman, “Building bridges between structural and program evaluation approaches to evaluating policy,” Journal of Economic Literature, vol. 48, no. 2, pp. 356–398, 2010.
- O. Abe, R. Abe, K. Enomoto, et al., “Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomised trials,” The Lancet, vol. 366, no. 9503, pp. 2087–2106, 2005.
- B. D. Smith, B. G. Haffty, A. Hurria, D. H. Galusha, and C. P. Gross, “Postmastectomy radiation and survival in older women with breast cancer,” Journal of Clinical Oncology, vol. 24, no. 30, pp. 4901–4907, 2006.
- T. A. Buchholz, W. A. Woodward, Z. Duan et al., “Radiation use and long-term survival in breast cancer patients with T1, T2 primary tumors and one to three positive axillary lymph nodes,” International Journal of Radiation Oncology Biology Physics, vol. 71, no. 4, pp. 1022–1027, 2008.
- T. P. Srokowski, S. Fang, Z. Duan et al., “Completion of adjuvant radiation therapy among women with breast cancer,” Cancer, vol. 113, no. 1, pp. 22–29, 2008, Cancer, vol. 113, no. 9, pp. 2615.