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Volume 7, Issue 5 (Suppl)

Epidemiology (Sunnyvale), an open access journal

ISSN: 2161-1165

Epidemiology 2017

October 23-25, 2017

Page 20

conference

series

.com

EPIDEMIOLOGY & PUBLIC HEALTH

October 23-25, 2017 | Paris, France

6

th

International Conference on

Ray M Merrill, Epidemiology (Sunnyvale) 2017, 7:5(Suppl)

DOI: 10.4172/2161-1165-C1-016

CONDITIONAL SURVIVAL AMONG FEMALE BREAST CANCER PATIENTS IN THE

UNITED STATES

T

he relative cancer survival rate may be more meaningful to patients because it indicates the chance they will not die from

the specific disease. This measure can be further tailored to patients by updating it according to time already survived and

for selected personal characteristics. In the current study, conditional relative survival for female breast cancer is presented,

based on cases diagnosed during 2000-2008 and followed up through 2013, using population-based data from the Surveillance,

Epidemiology and End Results (SEER) program of the National Cancer Institute. Five-year relative survival improved from

89% at diagnosis to 93% (4.9%) for patients who had already survived 5 years. Five-year relative survival was 98% for local

disease, 85% regional disease, and 30% for distant disease; 100% for Grade I, 94% for Grade II, 81% for Grade III, and 80% for

Grace IV; 90% for Whites, 78% for Blacks, 82% for American Indians/Alaska Natives, and 91% for Asians; and 93% for married

and 85% for singles. Improvement in 5-year relative survival from diagnosis to five years already survived was -1.1% for local

disease, 3.2% regional disease, and 91.4% for distant disease; -0.9% for Grade I, -0.7% for Grade II, 11.4% for Grade III, and

14.2% for Grace IV; 3.9% for Whites, 13.4% for Blacks, 8.8% for American Indians/Alaska Natives, and 3.5% for Asians; and

2.8% for married and 6.8% for singles. Age and ethnicity had little influence on conditional relative survival. The association

between 5-year relative survival and time already survived within stage groups remains similar after adjusting for age, race,

ethnicity, marital status, and tumour grade.

Biography

Ray Merrill is a Professor in the Department of Health Science at Brigham Young University. He joined the faculty in 1998, following employment as a Mathematical

Statistician in theApplied Research Branch at the National Cancer Institute. His research interests include chronic disease epidemiology, social determinants of health and

program planning and evaluation.

Ray_Merrill@byu.edu

Ray MMerrill

Brigham Young University, USA