Trends in PubMed-Indexed Research in Matched Urology Applicants: A Cross-Sectional Analysis of the 2017 to 2021 Match Cycles

D. Hinojosa-González, Shane Kronstedt, Gal Saffati, Nicholas Corsi, Anton Wintner, Dimitar V Zlatev, Wesley A. Mayer, Ruslan Korets, Brian H. Eisner
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引用次数: 3

Abstract

Urology is one of the most competitive specialties for residency matches in the United States. Data reported by the American Urological Association from match cycles spanning 2014 to 2021 reveal a median of 0.34% (0%-3%) of unfilled spots, a median of 1.48 (1.28-1.87) applicants per position, and a median of 75% (63%-87%) match rate. Recent research has shown that program directors value applicants' research highly. We sought to assess the research productivity of matched urology residency applicants, identify trends in research volume over time, and investigate the potential correlation between research output and program ranking. Doximity Urology program ranking list from the 2017 to 2021 match cycles was sorted by reputation, extracted, and populated using each program's official website resident roster, including name, medical school, postgraduate year, and additional degrees. Rosters were crossed-checked against social media posts from the official accounts. Each identified urology resident was queried in PubMed. Journal ranking was determined through Scimagojr; top-quartile journals were classified as Q1. In total 131 of 145 programs were identified, and 1605 matched applicants spanning the 2017 to 2021 match cycles. The mean and median total publications were 2.44 and 1, respectively, and 2.17 and 1 when excluding case reports. 64.2% of applicants had at least one publication, and 42.2% had at least one urological publication. Applicants matching into higher-ranked programs had more research and urological research. Multivariable regression analysis revealed that Q1 research (β 2.38) and urology research (β 2.33) significantly affected rank. Match cycle analysis revealed an increase in total and urology-focused research, whereas regression analysis demonstrated significant increases in total publications (β 0.019) per cycle. Overall research, urology-focused research, first authorship, and publication in higher-ranked journals play an essential role in the urology match.
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泌尿外科匹配申请人的 PubMed 索引研究趋势:2017 至 2021 年匹配周期的横断面分析
泌尿外科是美国住院医师配对竞争最激烈的专业之一。美国泌尿外科协会报告的 2014 年至 2021 年匹配周期的数据显示,未填补名额的中位数为 0.34%(0%-3%),每个职位的申请人数中位数为 1.48(1.28-1.87)人,匹配率中位数为 75%(63%-87%)。最近的研究表明,项目主任非常重视申请人的研究成果。我们试图评估匹配的泌尿科住院医师申请者的研究成果,确定研究数量的长期趋势,并调查研究成果与项目排名之间的潜在相关性。 我们使用各项目官方网站上的住院医师名册,包括姓名、医学院、研究生年级和其他学位,对2017年至2021年匹配周期的Doximity泌尿外科项目排名表进行了声誉排序、提取和填充。名册与来自官方账户的社交媒体帖子进行交叉核对。在 PubMed 上查询了每位已确认的泌尿科住院医师。期刊排名通过 Scimagojr 确定;排名前四位的期刊被列为 Q1。 共确定了 145 个项目中的 131 个,2017 年至 2021 年匹配周期内有 1605 名匹配申请人。论文发表总数的平均值和中位数分别为 2.44 篇和 1 篇,如果不包括病例报告,则分别为 2.17 篇和 1 篇。64.2%的申请人至少发表过一篇论文,42.2%的申请人至少发表过一篇泌尿外科论文。与排名较高的项目匹配的申请人有更多的研究和泌尿科研究。多变量回归分析显示,第一季度研究(β 2.38)和泌尿科研究(β 2.33)对排名有显著影响。匹配周期分析表明,总研究和以泌尿外科为重点的研究有所增加,而回归分析表明,每个周期的论文总数有了显著增加(β 0.019)。 总体研究、以泌尿学为重点的研究、第一作者和在排名较高的期刊上发表论文在泌尿学匹配中发挥着重要作用。
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