186,201 research outputs found
Oligometastatic non-small cell lung cancer (NSCLC): adrenal metastases. Experience in a single institution
Though the actual incidence of an adrenal oligometastasis is between 1.5 and 3.5 %, secondary adrenal neoplasms occur in less than 10 % patients with non-small cell lung cancer (NSCLC). According to 7° ed. TNM staging system, the presence of an adrenal metastasis (M1b disease) configures stage IV, which is usually associated with poor prognosis. We evaluated if metastasectomy in selected patients with oligometastatic disease improves overall survival. A 15-year retrospective study concerning patients with NSCLC was performed and an oligometastatic disease was found in 1.61 % of the patients. 18 adrenalectomies were performed. Clustering the population according to different therapeutic strategies, a benefit in terms of survival was found in patients who underwent adrenalectomy. A statistical relevance was found, indeed, between adrenalectomy (p < 0.01), metachronous disease (p < 0.01), the presence of a homolateral disease (p < 0.05) and overall survival. Adrenalectomy should be offered in selected patients with oligometastatic disease
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</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
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
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