1,721,308 research outputs found
Abstract ES2-1: Assessing the older adult with breast cancer for treatment: Whom, why, when and how?
No full textAbstract
Breast cancer is primarily a disease of aging, with over 40% of breast cancers diagnosed in individuals age 65 and older. A key aspect of personalized medicine is to understand the risks and benefits of therapy for the individual. This process involves gaining a deeper understanding of an older adult's functional age in order to weigh the risks and benefits of therapy and to make treatment decisions in the context of the patient's preferences, goals, and values. A geriatric assessment can be utilized to understand an older adult's functional versus chronological age, as well as to identify the risk of chemotherapy toxicity and overall life expectancy (1). This assessment includes an evaluation of the following domains which are predictive of the risk of morbidity and/or mortality in older adults: functional status, comorbidity, cognition, psychological state, social support, nutritional status, and polypharmacy. The geriatric assessment identifies areas of vulnerability which can guide targeted interventions to assist the older adult undergoing cancer therapy.
Barriers to the inclusion of a geriatric assessment in oncology practice include the time needed to complete the assessment. A primarily self-administered version of the geriatric assessment has been developed and is available online at the Cancer and Aging Research Group website (http://www.mycarg.org/SelectQuestionnaire). The assessment has been pilot tested in cooperative group trials as well as among patients receiving standard of care chemotherapy (2,3). These studies demonstrated that the majority of patients are able to complete the patient portion of the assessment on their own and are satisfied with the assessment length and content. Hence, it is feasible to capture geriatric assessment information in oncology practice. Studies have demonstrated the utility of a geriatric assessment in predicting the risk of chemotherapy toxicity among patients with all tumor types (3-5). An ongoing study in older adults receiving adjuvant treatment for breast cancer is evaluating the association between geriatric assessment variables, biomarkers of aging, and reduced relative dose intensity (RDI) of the prescribed chemotherapy regimen (ClinicalTrials.gov ID: NCT01472094). In this lecture we will discuss the key aspects of a geriatric assessment for older adults with breast cancer in order to facilitate individualized treatment decision making.
References
1. Wildiers H, Heeren P, et al. International Society of Geriatric Oncology consensus on geriatric assessment in older patients with cancer. J Clin Oncol. Aug 20 2014;32(24):2595-2603.
2. Hurria A, Gupta S, et al. Developing a cancer-specific geriatric assessment: a feasibility study. Cancer. Nov 1 2005;104(9):1998-2005.
3. Hurria A, Togawa K, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. Sep 1 2011;29(25):3457-3465.
4. Hurria A, Mohile S, et al. Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer. J Clin Oncol. Jul 10 2016;34(20):2366-2371.
5. Extermann M, Boler I, et al. Predicting the risk of chemotherapy toxicity in older patients: the Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH) score. Cancer. Jul 1 2012;118(13):3377-3386.
Citation Format: Hurria A. Assessing the older adult with breast cancer for treatment: Whom, why, when and how? [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr ES2-1.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full text“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
No full textWe 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
No full textWe 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
Arti Hurria and the progress in integrating the geriatric assessment into oncology: Young international society of geriatric oncology review paper
No full textDuMontier, C., et al. (2019). "Arti Hurria and the progress in integrating the geriatric assessment into oncology: Young international society of geriatric oncology review paper." J Geriatr Oncol.Abstract
Until recently, the progress in the diagnosis and management of cancer has not been matched by similar progress in the assessment of the increasing numbers of older and more complex patients with cancer. Dr. Arti Hurria identified this gap at the outset of her career, which she dedicated toward studying the geriatric assessment (GA) as an improvement over traditional methods used in oncology to assess vulnerability in older patients with cancer. This review documents the progress of the GA and its integration into oncology. First, we detail the GA's origins in the field of geriatrics. Next, we chronicle the early rise of geriatric oncology, highlighting the calls of early thought-leaders to meet the demands of the rapidly aging cancer population. We describe Dr. Hurria's early efforts toward meeting these calls though the implementation of the GA in oncology research. We then summarize some of the seminal studies constituting the evidence base supporting GA's implementation. Finally, we lay out the evolution of cancer-focused guidelines recommending the GA, concluding with future needs to advance the next steps toward more widespread implementation in routine cancer care. Throughout, we describe Dr. Hurria's vision and its execution in driving progress of the GA in oncology, from her fellowship training to her co-authored guidelines recommending GA for all older adults with cancer-published in the year of her untimely death.acceptedVersio
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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