American Cancer Society

About: American Cancer Society is a nonprofit organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Cancer & Population. The organization has 1339 authors who have published 3700 publications receiving 688166 citations. The organization is also known as: American Cancer Society, ACS & American Society for the Control of Cancer.

Association Between Geographic Access to Cancer Care, Insurance, and Receipt of Chemotherapy: Geographic Distribution of Oncologists and Travel Distance

Abstract: Purpose Geographic access to care may be associated with receipt of chemotherapy but has not been fully examined. This study sought to evaluate the association between density of oncologists and travel distance and receipt of adjuvant chemotherapy for colon cancer within 90 days of colectomy. Patients and Methods Patients in the National Cancer Data Base with stage III colon cancer, diagnosed between 2007 and 2010, and age 18 to 80 years were selected. Generalized estimating equation clustering by hospital service area was conducted to examine the association between geographic access and receipt of oncology services, controlling for patient sociodemographic and clinical characteristics. Results Of 34,694 patients in the study cohort, 75.7% received adjuvant chemotherapy within 90 days of colectomy. Compared with travel distance less than 12.5 miles, patients who traveled 50 to 249 miles (odds ratio [OR], 0.87; P = .009) or ≥ 250 miles (OR, 0.36; P < .001) had decreased likelihood of receiving adjuvant ch...

Consumption of Dairy Products and Risk of Parkinson's Disease

Abstract: The authors prospectively investigated the association between intake of dairy products and risk of Parkinson's disease among 57,689 men and 73,175 women from the American Cancer Society's Cancer Prevention Study II Nutrition Cohort. A total of 250 men and 138 women with Parkinson's disease were identified during follow-up (1992-2001). Dairy product consumption was positively associated with risk of Parkinson's disease: Compared with the lowest intake quintile, the corresponding relative risks for quintiles 2-5 were 1.4, 1.4, 1.4, and 1.6 (95 percent confidence interval (CI): 1.1, 2.2; p for trend = 0.05). A higher risk among dairy product consumers was found in both men and women, although the association in women appeared nonlinear. Meta-analysis of all prospective studies confirmed a moderately elevated risk of Parkinson's disease among persons with high dairy product consumption: For extreme intake categories, relative risks were 1.6 (95 percent CI: 1.3, 2.0) for both sexes, 1.8 for men (95 percent CI: 1.4, 2.4), and 1.3 for women (95 percent CI: 0.8, 2.1). These data suggest that dairy consumption may increase the risk of Parkinson's disease, particularly in men. More studies are needed to further examine these findings and to explore underlying mechanisms.

Social support in smoking cessation: Reconciling theory and evidence

Abstract: Introduction: The majority of smokers attempt to quit smoking on their own, but in any given year, only 5% or less are successful. To improve cessation rates, tapping social networks for social support during quitting has been recommended or tested in some interventions. Prior reviews of this research, however, have concluded that there is little to no evidence that partner support interventions are effective. Discussion: Given the theoretical importance of the concept of social support, its demonstrated value in treatments that are implicitly supportive (e.g., telephone counseling), and the general lack of a guiding conceptual framework for research on the effects of peer or partner support for cessation, we describe theoretical models that explicitly incorporate social support constructs in predicting motivation for and success in quitting. Conclusion: Better differentiation of support concepts and elucidating causal pathways will lead to studies that demonstrate the value of social relationships in improving smokers’ likelihood of cessation. The majority of smokers attempt to quit smoking on their

Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening

Abstract: Background: We aimed to quantitatively assess the effect of baseline breast density on the incidence, stage, and mortality, and also the natural course of the disease, considering the sensitivity of mammography to clarify its causal or masking effect. Methods: In total, 15,658 women ages 45 to 59 years from the Kopparberg randomized controlled trial in Sweden were prospectively followed from 1977 until 2004 to ascertain breast cancer incidence and death. Dense breast tissue collected at the beginning of the study was defined as pattern IV or V by the Tabar classification. Conventional risk factors were also collected at baseline. The three-state Markov model was used to estimate the preclinical incidence rate and the mean sojourn time given the fixed sensitivity. Results: Dense breast tissue was significantly associated with breast cancer incidence [relative risk (RR) = 1.57 (1.18-1.67)] and with breast cancer mortality [RR = 1.91 (1.26-2.91)] after adjusting for other risk factors. Cumulative incidence rates irrespective of nonadvanced and advanced breast cancer were higher in dense breast tissue compared with nondense tissue but no difference in survival was detected between dense and nondense breast tissue. Dense breast tissue had a higher preclinical incidence rate (causal effect) and shorter mean sojourn time (masking effect) compared with nondense breast tissue by controlling the sensitivity of mammography. Conclusion: We corroborated the effect of baseline breast density with a higher incidence and mortality and also showed its contribution to a masking effect with long-term follow-up data. Impact: Results suggest that the screening policy with a predominantly shorter screening interval and with alternative imaging techniques might be indicated in women with dense breast tissue. Cancer Epidemiol Biomarkers Prev; 19(5); 1219–28. ©2010 AACR.