Institution
American Cancer Society
Nonprofit•Atlanta, Georgia, United States•
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.
Papers published on a yearly basis
Papers
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TL;DR: Findings illustrate the strengths and limitations of NCDB as a resource for nationwide data on cancer diagnosis, treatment, and survival and highlight the geographic- and site-specific variation in N CDB case coverage.
Abstract: Background
The National Cancer Data Base (NCDB) is a large, geographically diverse hospital-based cancer registry that has been used to study factors related to cancer diagnosis, treatment, and survival. The primary purpose of this study was to compare the case counts and characteristics of patients in NCDB with population-based registries reported in the United States Cancer Statistics (USCS).
222 citations
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TL;DR: According to death certificate data between 1969 and 2013, an overall decreasing trend in age-standardized death rate was observed for all causes combined, heart disease, cancer, stroke, unintentional injuries, and diabetes, although the rate of decrease appears to have slowed for heart disease and diabetes.
Abstract: from 3.9% (95% CI, 3.5%-4.2%) during the 2000-2010 period to 1.4% (95% CI, −3.4% to 0.6%) during the 2010-2013 period (P = .02 for slope difference). Between 1969 and 2013, age-standardized years of potential life lost per 1000 decreased from 1.9 to 1.6 for diabetes (14.5% reduction; 95% CI, 12.6%-16.4%), from 21.4 to 12.7 for cancer (40.6%; 95% CI, 40.2%-41.1%), from 19.9 to 10.4 for unintentional injuries (47.5%; 95% CI, 47.0%-48.0%), from 28.8 to 9.1 for heart disease (68.3%; 95% CI, 68.1%-68.5%), and from 6.0 to 1.5 for stroke (74.8%; 95% CI, 74.4%-75.3%). For COPD, the rate for years of potential life lost did not decrease over this time interval.
222 citations
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American Cancer Society1, Cancer Council New South Wales2, Cancer Research UK3, Centers for Disease Control and Prevention4, Chiang Mai University5, Chulalongkorn University6, Dartmouth College7, Colorado School of Public Health8, Yeshiva University9, University of Copenhagen10, University at Buffalo11, German Cancer Research Center12, University of Minnesota13, University of Washington14, Imperial College London15, Harvard University16, International Agency for Research on Cancer17, University of Milan18, Karolinska Institutet19, Maastricht University20, Mahidol University21, National Institutes of Health22, National Health Laboratory Service23, Norwegian Institute of Public Health24, QIMR Berghofer Medical Research Institute25, Roswell Park Cancer Institute26, Royal College of General Practitioners27, Curtin University28, University of Texas Health Science Center at Houston29, University of Massachusetts Boston30, Boston University31, Stanford University32, National and Kapodistrian University of Athens33, University of Chile34, University of Hawaii at Manoa35, Lund University36, University of Pennsylvania37, University of Pittsburgh38, Utrecht University39, University of Southern California40, University of Toronto41, George Washington University42, Vanderbilt University43, World Health Organization44, Yale University45
TL;DR: The excess of mucinous ovarian cancers in smokers is roughly counterbalanced by the deficit of endometrioid and clear-cell ovarian cancers, suggesting that smoking-related risks by tumour subtype is important for understanding ovarian carcinogenesis.
Abstract: Background Smoking has been linked to mucinous ovarian cancer, but its effects on other ovarian cancer subtypes and on overall ovarian cancer risk are unclear, and the findings from most studies with relevant data are unpublished To assess these associations, we review the published and unpublished evidence Methods Eligible epidemiological studies were identified by electronic searches, review articles, and discussions with colleagues Individual participant data for 28 114 women with and 94 942 without ovarian cancer from 51 epidemiological studies were analysed centrally, yielding adjusted relative risks (RRs) of ovarian cancer in smokers compared with never smokers Findings After exclusion of studies with hospital controls, in which smoking could have affected recruitment, overall ovarian cancer incidence was only slightly increased in current smokers compared with women who had never smoked (RR 106, 95% CI 101-111, p=001) Of 17 641 epithelial cancers with specified histology, 2314 (13%) were mucinous, 2360 (13%) endometrioid, 969 (5%) clear-cell, and 9086 (52%) serous Smoking-related risks varied substantially across these subtypes (p(heterogeneity)<00001) For mucinous cancers, incidence was increased in current versus never smokers (179, 95% CI 160-200, p<00001), but the increase was mainly in borderline malignant rather than in fully malignant tumours (225, 95% CI 191-265 vs 149, 128-173; p(heterogeneity)=001; almost half the mucinous tumours were only borderline malignant) Both endometrioid (081, 95% CI 072-092, p=0001) and clear-cell ovarian cancer risks (080, 95% CI 065-097, p=003) were reduced in current smokers, and there was no significant association for serous ovarian cancers (099, 95% CI 093-106, p=08) These associations did not vary significantly by 13 sociodemographic and personal characteristics of women including their body-mass index, parity, and use of alcohol, oral contraceptives, and menopausal hormone therapy Interpretation The excess of mucinous ovarian cancers in smokers, which is mainly of tumours of borderline malignancy, is roughly counterbalanced by the deficit of endometrioid and clear-cell ovarian cancers The substantial variation in smoking-related risks by tumour subtype is important for understanding ovarian carcinogenesis
220 citations
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TL;DR: Examination of the dyadic effects of psychological distress on the quality of life of couples dealing with cancer revealed that couples may benefit from interventions that enhance their ability to manage psychological distress, particularly the wife’s, which may improve the mental and physical health of both partners when they are deal with cancer.
Abstract: Although evidence suggests that survivors and spousal caregivers tend to experience somewhat similar levels of distress and that the survivor’s distress affects his/her own quality of life, the degree to which each person’s distress has an independent effect on their partner’s quality of life is unknown. Thus, this study aimed to examine the dyadic effects of psychological distress on the quality of life of couples dealing with cancer. A total of 168 married survivor–caregiver dyads participating in the American Cancer Society’s Study of Cancer Survivors-I and Quality of Life Survey for Caregivers provided complete data for study variables. Participating survivors were diagnosed with either breast or prostate cancer approximately 2 years prior to participating in the study. Using the Actor Partner Interdependence Model, results revealed that although each person’s psychological distress is the strongest predictor of their own quality of life, partner’s distress and (dis)similarity in distress of the couple also play significant roles in one’s quality of life. In addition, the adverse effect of having a partner who is less emotionally resourceful was especially pronounced on men’s physical health. Our systematic investigation provided valuable evidence for identifying the subgroup of cancer survivors and their spouses who are vulnerable to poor quality of life due to their mutual psychological distress. These findings suggest that couples may benefit from interventions that enhance their ability to manage psychological distress, particularly the wife’s, which may improve the mental and physical health of both partners when they are dealing with cancer.
219 citations
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University of Wisconsin-Madison1, National Institutes of Health2, University of Illinois at Chicago3, Henry Ford Health System4, Harvard University5, Robert Wood Johnson Foundation6, Morehouse School of Medicine7, American Cancer Society8, Agency for Healthcare Research and Quality9, United States Department of the Navy10
TL;DR: A national action plan for Tobacco Cessation is summarized, which includes both evidence-based, population-wide strategies designed to promote cessation and a Smokers' Health Fund to finance the programs.
Abstract: In August 2002, the Subcommittee on Cessation of the Interagency Committee on Smoking and Health (ICSH) was charged with developing recommendations to substantially increase rates of tobacco cessation in the United States. The subcommittee's report, A National Action Plan for Tobacco Cessation, outlines 10 recommendations for reducing premature morbidity and mortality by helping millions of Americans stop using tobacco. The plan includes both evidence-based, population-wide strategies designed to promote cessation (e.g., a national quitline network) and a Smokers' Health Fund to finance the programs (through a 2 US dollar per pack excise tax increase). The subcommittee report was presented to the ICSH (February 11, 2003), which unanimously endorsed sending it to Secretary Thompson for his consideration. In this article, we summarize the national action plan.
218 citations
Authors
Showing all 1345 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Frank B. Hu | 250 | 1675 | 253464 |
David J. Hunter | 213 | 1836 | 207050 |
Edward Giovannucci | 206 | 1671 | 179875 |
Irving L. Weissman | 201 | 1141 | 172504 |
Bernard Rosner | 190 | 1162 | 147661 |
Susan E. Hankinson | 151 | 789 | 88297 |
Paolo Boffetta | 148 | 1455 | 93876 |
Jeffrey A. Bluestone | 143 | 515 | 77080 |
Richard D. Smith | 140 | 1180 | 79758 |
Garth D. Illingworth | 137 | 505 | 61793 |
Brian E. Henderson | 137 | 712 | 69921 |
Ahmedin Jemal | 132 | 500 | 380474 |
Michael J. Thun | 129 | 392 | 79051 |