1,721,230 research outputs found
Abstract 3294: Breast cancer extent and survival in diabetic women in a Finnish population based cohort
Abstract
Introduction: Breast cancer and diabetes are two major health problems for women. Around 1.7 million new breast cancer cases are diagnosed each year, making breast cancer the most common cancer type in women. Number of people with diabetes is estimated to be 415 million worldwide, thus one in 11 adults have diabetes. However, evidence on the association between diabetes and breast cancer prognosis is controversial. We estimated breast cancer extent at diagnosis and survival in a Finnish population-based cohort of female breast cancer patients.
Materials and methods: All newly diagnosed breast cancer cases among women in Finland between 1995 and 2013 were identified from comprehensive national Finnish Cancer Registry. To minimize possible bias due to differing participation in cancer screening the study population was limited to women with at least one mammography screening before the diagnosis. In total 45,786 cases were included in our study cohort. Information on recorded diagnoses of diabetes, hypertension, hypercholesterolemia and obesity from in- and outpatient hospital visits during 1995-2013 were obtained from national Care Register for Health Care maintained by National Institute for Health and Welfare. Logistic regression was used to evaluate the risk of having cancer extended to axillary lymph nodes or beyond at diagnosis. Cox regression was used to evaluate risk of breast cancer death and overall mortality after the diagnosis. Analyses were adjusted for age, comorbidities and number of mammography screens before the diagnosis. Survival analyses were further adjusted for tumor extent and primary treatment.
Results: In total 1,419 women had diabetes. Compared to non-diabetic women, breast cancer was more often advanced to axillary lymph-nodes (OR 1.19; 95% CI 1.05-1.34) or metastatic at diagnosis (OR 1.58; 95% CI 1.26-1.97) in diabetic women. Nevertheless, during the median follow-up of 6.9 year after the diagnosis, risk of breast cancer death did not differ between diabetic and non-diabetic women (0.99; 95% CI 0.81-1.21). Overall risk of death was elevated among diabetic women (HR 1.34; 95% CI 1.19-1.51).
Conclusion: Diabetic women have more often advanced tumor extent at diagnosis compared to non-diabetic women. However, diabetes did not affect disease-specific survival within 6.9 years after the diagnosis.
Citation Format: Mika Murto, Miia Artama, Kala Visvanathan, Teemu Murtola. Breast cancer extent and survival in diabetic women in a Finnish population based cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3294. doi:10.1158/1538-7445.AM2017-3294</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
Abstract 4217: Consumer credit, cancer treatment, and health among women with a history of breast cancer
Abstract
Background: Breast cancer treatment may represent an economic shock that may be influenced by, or may influence a cancer survivor’s socio-economic position (SEP). Financial toxicity or economic burden due to cancer treatment and treatment’s adverse effects may be reflected in one’s consumer credit ratings; however, credit’s contribution to individual health for cancer survivors or those managing long-term adverse effects of cancer treatment has not been evaluated. This analysis examined associations between self-rated health outcomes of women with a history of breast cancer, type of cancer treatment, and presence of breast cancer-related lymphedema, a persistent adverse effect of treatment, and consumer credit rating.
Methods: From May to September 2015, 129 women from Pennsylvania and New Jersey were enrolled in the PAL Social and Economic Quality of Life cross-sectional study. All participants had a history of breast cancer, and completed a survey of: demographics, SEP, co-morbidities, SF-12 self-rated health, psychosocial stress, adjuvant cancer treatments (chemotherapy, hormone therapy, radiation), breast cancer-related lymphedema symptoms, and credit quality (5-point scale self-reported as poor to excellent). Multivariable linear regression measured the association between credit and health.
Results: Mean respondent age was 64, with 38.2% reporting excellent and 37.4% reporting very good/good credit. Participants completed cancer treatment on average 11.5 years ago. After adjusting for demographics and SEP, good credit was associated with a 4.5 (p=0.009) point increase in composite physical health t-score and -1.13 (p=0.02) decrease in psychosocial stress compared to women with poor credit, but was not associated with type of cancer treatment or lymphedema.
Conclusion: While credit was associated with self-rated health for women with an average 11.5 year history of breast cancer, current credit quality did not appear to be associated with type of cancer treatment previously received or with the presence of lymphedema, a persistent adverse effect of cancer treatment. It is still possible that cancer treatment may have influenced credit close to time of treatment, and credit was able to rebound since that time. Future work should test causal pathways between credit and health outcomes after cancer diagnosis.
Citation Format: Lorraine T. Dean, Kathryn H. Schmitz, Kevin Frick, Lauren Nicholas, Yuehan Zhang, SV Subramanian, Kala Visvanathan. Consumer credit, cancer treatment, and health among women with a history of breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4217. doi:10.1158/1538-7445.AM2017-4217</jats:p
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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.
Author-wise bibliometric analysis based on entropy.</p
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