1,721,585 research outputs found
Abstract IA5: Aspirin for precision chemoprevention of colorectal cancer
No full textAbstract
Remarkably consistent experimental and epidemiologic evidence demonstrates that aspirin is associated with a lower risk of colorectal cancer. These studies have been complemented by compelling data from randomized controlled trials (RCTs). Five placebo-controlled RCTs among individuals with a history of colorectal adenoma or cancer showed that aspirin reduced the risk of recurrent adenomas, the precursors of the vast majority of cancers. Data from long-term follow-up of the CAPP2 trial, a RCT of aspirin among individuals with the Lynch hereditary colorectal cancer syndrome and the Women's Health Study, a RCT of aspirin among women for primary prevention of cardiovascular disease and cancer demonstrated that randomized aspirin treatment was associated with a lower risk of colorectal cancer. Finally, secondary analyses of RCTs of aspirin for cardiovascular prevention have shown that aspirin reduces incidence of and mortality from colorectal cancer. As a reflection of the strength of the evidence, the U.S. Preventive Services Task Force (USPSTF) updated its primary prevention guidelines for aspirin in 2016. The USPSTF now recommends low-dose aspirin (81 mg/day) for chronic disease prophylaxis, including colorectal cancer prevention, among U.S. adults between ages 50-59, and possibly ages 60-69, with a greater than 10% ten-year risk of cardiovascular events. The new USPSTF recommendation represents a significant milestone for the field of preventive medicine. With the exception of tamoxifen for women at high-risk for breast cancer, this is the first medication broadly recommended for cancer prevention by the USPSTF. Despite this advance, wider scale efforts to implement aspirin chemoprevention are limited by concerns about risk-benefit profile in view of the established association of aspirin with gastrointestinal bleeding. In concert with broader efforts to tailor prevention strategies, our group has led several studies into the mechanistic basis of aspirin's anti-cancer effect that has led to the development of intratumoral, colonic, germline, and circulating molecular correlates of outcomes. Such biomarkers can be exploited for risk stratification to more effectively target aspirin chemoprevention for those with more favorable risk-benefit profiles. In this presentation, we will review the evidence supporting a role for aspirin in the prevention of colorectal cancer, with a focus on novel methods for molecular risk stratification. Such a precision chemoprevention strategy could play a role in global efforts for chronic disease prevention and control.
Citation Format: Andrew T. Chan. Aspirin for precision chemoprevention of colorectal cancer [abstract]. In: Proceedings of the AACR International Conference: New Frontiers in Cancer Research; 2017 Jan 18-22; Cape Town, South Africa. Philadelphia (PA): AACR; Cancer Res 2017;77(22 Suppl):Abstract nr IA5.</jats:p
Abstract IA10: Precision chemoprevention with aspirin
No full textAbstract
Remarkably consistent experimental and epidemiologic evidence demonstrates that aspirin is associated with a lower risk of colorectal cancer. Five placebo-controlled randomized controlled trials (RCTs) among individuals with a history of colorectal neoplasia showed that aspirin reduced the risk of recurrent adenomatous polyps, the precursors of the vast majority of cancers. Additionally, data from long-term follow-up of a RCT of aspirin among individuals with the Lynch hereditary colorectal cancer syndrome and a RCT of aspirin among women for primary prevention of cardiovascular disease and cancer demonstrated a lower risk of colorectal cancer associated with randomized aspirin treatment. As a reflection of the strength of the evidence, the U.S. Preventative Services Task Force (USPSTF) updated its primary prevention guidelines for aspirin in 2016. The USPSTF provided low-dose aspirin (81 mg/day) with a recommendation for chronic disease prophylaxis, including colorectal cancer prevention, among U.S. adults between ages 50-59, and possibly ages 60-69, with a greater than 10% ten-year risk of cardiovascular events. The new USPSTF recommendation represents a significant milestone for the field of preventive medicine. With the exception of tamoxifen for women at high-risk for breast cancer, this is the first medication recommended for cancer prevention by USPSTF guidelines. Despite this advance, broader recommendations for aspirin chemoprevention are limited by concerns about risk-benefit profile in view of the established association of aspirin with gastrointestinal bleeding. Thus, in concert with broader efforts to tailor prevention strategies, our group has led several studies into the mechanistic basis of aspirin's anti-cancer effect that has led to the development of intratumoral, germline, and circulating molecular correlates of outcomes. Such biomarkers can be exploited for risk stratification to more effectively target aspirin chemoprevention for those with more favorable risk-benefit profiles. In this presentation, we will review the evidence supporting a role for aspirin in the prevention and treatment of cancer, with a focus on novel strategies for molecular risk stratification.
Citation Format: Andrew T. Chan. Precision chemoprevention with aspirin. [abstract]. In: Proceedings of the AACR Special Conference on Colorectal Cancer: From Initiation to Outcomes; 2016 Sep 17-20; Tampa, FL. Philadelphia (PA): AACR; Cancer Res 2017;77(3 Suppl):Abstract nr IA10.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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