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    Influence of Cardiovascular Risk Factors on Aortic Wall Motion After Repair of Type A Aortic Dissection: An Electrocar- diography-Gated Computed Tomography Study

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    Background: We aimed to evaluate size changes of the thoracic aorta during the cardiac cycle with dynamic computed tomographic angiography (CTA) at specific anatomic landmarks in patients who previously under- went ascending aorta repair because of type A dissec- tion, and to correlate aortic wall motion with several cardiovascular risk factors. Methods: From December 2008 to December 2010, 18 patients (14 men and 4 women, mean age 64 12 years) with previous aortic repair underwent electrocardiography-gated CTA fol- low-up. Aortic systolic and diastolic diameter and cross-sectional area were measured at 4 levels: 1 cm proximal (level A) and 1 (B), 3 (C), and 10 cm (D) distal to the origin of the left subclavian artery. Results were assessed according to age and presence of diabetes, hypertension, and smoking. Results: This morpho-functional evaluation of aortic wall motion demonstrated a significant influence (P < 0.05) of hy- pertension at level A and D and diabetes at level D. Smoking had a borderline significance at level C and D. No significant correlation with age was evident, with results not significantly different in patients < 55 and > 55 years. Conclusions: Smoking, diabetes, and hyper- tension play a role in impairing aortic size variations. These variations might predict wall structural altera- tions due to cardiovascular risk factors before they become morphologically evident. This might influence timing of surveillance following repair of acute dissec- tion, allowing it to be specifically tailored for any single subject

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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
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