1,721,053 research outputs found
Tailoring adjuvant treatments for the individual patient with luminal breast cancer
No full textEstrogen Receptor-positive/HER-2 negative breast cancers represent a heterogeneous group of tumors. Luminal A and B tumor subtypes can be identified through immunohistochemical assessment of estrogen and progesterone receptor, Ki-67 and HER-2 status. Patients with high levels of expression of steroid hormone receptors and low proliferation (Luminal A) are commonly cured with endocrine therapy alone. Patients with doubtful endocrine responsiveness or with high proliferation index (Luminal B/Her-negative) require the addition of chemotherapy to the best endocrine therapy. Controversies still exist on the identification of those patients who do not benefit from chemotherapy. Tailored adjuvant treatments should be considered in the therapeutic algorithm of patients with luminal tumors
ALGA: a breast cancer patient profiling tool to improve interction between patients and physicians
No full text
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
Alga : a cancer patient profiling tool to improve physician-patient communication. an analysis in breast cancer patients
No full textBackground: Considerable improvement of communication between physicians and patients (pts) will need to occur as personalised medicine becomes the norm. An accurate profile of the pt’s cognitive and psychological status should help the physician shape his language and his messages to maximise the pt’s understanding of her management options. To this aim a computerized tool (ALGA questionnaire) has been created and validated. Methods: The validation process produced a questionnaire with 4 main factors: Health State Perception, Psychological, Psychosocial and Cognitive aspects. To test its ability to discriminate between healthy people and pts, ALGA has been administered to 50 newly diagnosed primary Breast Cancer (BC) pts prior to their first visit with the oncologist to discuss their adjuvant treatment, and to 50 healthy women (age range:20-60), using an iPad. Results: A multivariate analysis showed a significant difference between BC pts and healthy women relatively to the four aforementioned broad areas: Psychosocial (F(1,56)=13.42, p<.001), Cognitive (F(1,56)=6.53, p<.01), and Psychological Aspect (F(1,56)=2.77, p=.05). ALGA detected pts with higher levels of anxiety and depression. Pts tended to ruminate more than healthy subjects. Finally, pts showed higher level of positive Health State Perception, suggesting a dissociation between cancer illness and general health. Cognitive and Psychological aspects and Health State Perception interacted with participants’ level of education (respectively: F(1,56)=12.23, p<.001; F(1,56)=4.58, p<.05; F(1,56)=7.9, p<.05). Starting from this results a personal profile for each pt was created. Conclusions: The ALGA confirmed ability to discriminate between healthy people and BC pts, and is a good tool to create a personal pt’s profile with which physicians can empower patient with tailored knowledge. Starting from ALGA questionnaire, a smart environment is being implemented as a decision support infrastructure to help communication, interaction and information delivery process from doctor to patient, influencing patient’s quality of life and satisfactio
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
Development and psychometric testing of a breast cancer patient-profiling questionnaire
Full text linkIntroduction: The advent of “personalized medicine” has been driven by technological advances
in genomics. Concentration at the subcellular level of a patient’s cancer cells has meant inevitably
that the “person” has been overlooked. For this reason, we think there is an urgent need
to develop a truly personalized approach focusing on each patient as an individual, assessing
his/her unique mental dimensions and tailoring interventions to his/her individual needs and
preferences. The aim of this study was to develop and test the psychometric properties of the
ALGA-Breast Cancer (ALGA-BC), a new multidimensional questionnaire that assesses the breast
cancer patient’s physical and mental characteristics in order to provide physicians, prior to the
consultation, with a patient’s profile that is supposed to facilitate subsequent communication,
interaction, and information delivery between the doctor and the patient.
Methods: The specific validation processes used were: content and face validity, construct
validity using factor analysis, reliability and internal consistency using test–retest reliability,
and Cronbach’s alpha correlation coefficient. The exploratory analysis included 100 primary
breast cancer patients and 730 healthy subjects.
Results: The exploratory factor analysis revealed eight key factors: global self-rated health,
perceived physical health, anxiety, self-efficacy, cognitive closure, memory, body image, and
sexual life. Test–retest reliability and internal consistency were good. Comparing patients with
a sample of healthy subjects, we also observed a general ability of the ALGA-BC questionnaire
to discriminate between the two.
Conclusion: The ALGA-BC questionnaire with 29 items is a valid instrument with which to
obtain a patient’s profile that is supposed to help physicians achieve meaningful personalized
care which supplements biological and genetic analyse
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
- …
