Current Month 2005
Article Features
  Study Examines Alcohol and Breast Cancer Risk
Black Women with Early Stage Breast Cancer Less Likely to Receive Full Course of Chemotherapy
Errors in Cancer Diagnosis Put Patients in Harmís Way
Exercise Linked to Reduced Breast Cancer Risk
Gene Increases Risk in Breast Cancer Families
Can Bench Pressing Reduce or Prevent Lymphedema in Breast Cancer Survivors?
Physical Activity Associated With Decreased Breast Cancer Risk in Black and White Women
Higher Placental Weight Associated with Increased Maternal Breast Cancer Risk
Primrose Oil Component Cuts Levels of Cancer-Causing Gene Her-2/neu
Study Measures Psychological and Social Impact of Contralateral Prophylactic Mastectomy
Protein Marker Associated with Positive Outcome in Invasive Breast Cancer
Follow-Up Study Confirms Tamoxifen Reduces Risk of Breast Cancer
Benefits of Longer-Term Tamoxifen Use May Take Years to Appear
Extra Years of Tamoxifen Reduce Death From Coronary Heart Disease
Dramatic Improvement in Breast Cancer Survival Among UK Women
New Drug for Vaginal Atrophy May Prevent Breast Cancer


Decline in Breast Cancer Deaths Explained by Use of Screening and Adjuvant Therapies

Early detection through screening mammography and improved adjuvant treatment have contributed almost equally to the substantial decrease in breast cancer death rates over the past 10 to 15 years, researchers conclude in an unprecedented effort to parse out the factors that have led to the decline.

The study, published in the New England Journal of Medicine, was supported by the National Cancer Institute (NCI) and conducted by seven research groups, including The University of Texas M. D. Anderson Cancer Center.

Researchers sought to end the longstanding controversy of whether screening mammography, better treatment or a combination of the two is responsible for improved breast cancer survival. The seven teams consisting of 43 investigators designed their own statistical models to determine the contribution of each method. These independent models used the same sources of data, some of which had not been mined before, but their approaches and assumptions differed.

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