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    Is stone diameter a variable in the decision process of employing a ureteral stent in patients undergoing uncomplicated ureterorenoscopy and associated intracorporeal lithotripsy?

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    Introduction: A number of randomized trials and meta-analysis in patients who underwent ureteroscopic stone removal investigated the effects of placing a ureteral stent at the end of the procedure on complication rates. However, none of these investigates the stone diameter and its possible influence on complication rates and, as such, if it should be considered a possible variable in the decision process of placing or not a ureteral stent. Materials and methods: A bibliographic search covering the period from January 1990 to March 2012 was conducted in PubMed, MEDLINE and EMBASE. This analysis is based on the fifteen remaining studies which fulfilled the predefined inclusion criteria. All statistical evaluations were performed using SAS version 9.2. and by RevMan 5.0. Results: A total of 1,416 patients were included. All the studies were published after 2000. Mean stone diameter ranged between 5.3 and 13.3 mm in the non-stented group and between 6.26 and 13.28 mm in the stented group. Meta-analysis showed that stone diameter was not statistically different for stented or non-stented subgroups, whereas surgical operative time was shorter for the non-stented subgroup. The effect of stone diameter, irrespectively if patients were operated with or without stents were grouped or considered separately, did not influence complications of fever, haematuria, unplanned medical visits after surgery and urinary tract infections. Conclusions: Stone diameter is not a variable in the pre- or intraoperative decision process of placing or not placing a ureteral stent in patients undergoing uncomplicated ureterorenoscopy with intracorporeal lithotripsy

    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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