1,720,957 research outputs found
Adjuvant Ovarian Suppression, High-dose Chemotherapy and Immunotherapy for Premenopausal Patients with High-risk Breast Cancer
BACKGROUND: Premenopausal patients with breast cancer and more than 10 positive
axillary nodes (BC>10) have a poor prognosis: In these patients the best adjuvant
therapy (CT) has not yet been established.
PATIENTS AND METHODS: Forty-two BC>10 received, in sequence, the following
adjuvant treatments: luteinizing hormone releasing hormone (LH-RH) analog for 5
years; anthracycline-based induction chemotherapy; radiation therapy;
platinum-based high-dose CT, with autologous bone marrow transplantation;
immunotherapy with interleukin 2 (IL2) and 13-cis retinoic acid (RA); anastrazole
given 5 years to estrogen receptor-positive patients. Primary endpoints of the
study were disease-free survival (DFS) and overall (OS) survival. A secondary
endpoint was toxicity.
RESULTS: The median age of patients was 41 years, and the mean number of positive
axillary nodes was 14. Estrogen and progesterone receptors were positive in 57%
and 29% of patients respectively, while 14% of patients had triple-negative
disease. With a median follow-up of 120 months for patients remaining alive at
the end of study, median DFS and OS, had not yet been reached. The 20-year DFS
and OS rates were 63.8%, and 81.6%, respectively. One to two years after the end
of the therapy, three patients had had four full-term pregnancies.
CONCLUSION: Treatment with LH-RH analog, high-dose CT, peripheral blood
progenitor cells and IL2 with RA for patients with BC>10 is feasible, has
moderate toxicity, while preserving ovarian function, seems to improve the
expected DFS and OS for these high-risk patients
Adjuvant ovarian suppression, high-dose chemotherapy and immunotherapy for premenopausal patients with high-risk breast cancer
Premenopausal patients with breast cancer and more than 10 positive axillary nodes (BC>10) have a poor prognosis: In these patients the best adjuvant therapy (CT) has not yet been established.Background: Premenopausal patients with breast cancer and more than 10 positive axillary nodes (BC>10) have a poor prognosis: In these patients the best adjuvant therapy (CT) has not yet been established. Patients and Methods: Forty-two BC>10 received, in sequence, the following adjuvant treatments: luteinizing hormone releasing hormone (LH-RH) analog for 5 years; anthracycline-based induction chemotherapy; radiation therapy; platinum-based high-dose CT, with autologous bone marrow transplantation; immunotherapy with interleukin 2 (IL2) and 13-cis retinoic acid (RA); anastrazole given 5 years to estrogen receptorpositive patients. Primary endpoints of the study were diseasefree survival (DFS) and overall (OS) survival. A secondary endpoint was toxicity. Results. The median age of patients was 41 years, and the mean number of positive axillary nodes was 14. Estrogen and progesterone receptors were positive in 57% and 29% of patients respectively, while 14% of patients had triple-negative disease. With a median follow-up of 120 months for patients remaining alive at the end of study, median DFS and OS, had not yet been reached. The 20-year DFS and OS rates were 63.8%, and 81.6%, respectively. One to two years after the end of the therapy, three patients had had four fullterm pregnancies. Conclusion. Treatment with LH-RH analog, high-dose CT, peripheral blood progenitor cells and IL2 with RA for patients with BC>10 is feasible, has moderate toxicity, while preserving ovarian function, seems to improve the expected DFS and OS for these high-risk patients
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
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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