Stuebe Caren M, Kann Michael R, Harper Cierra N, Prakash Kavita J, Cantu Luke I, Mbilinyi Robert H, Nowacki Amy S, Benzil Deborah L
Department of Neurosurgery, Texas A&M School of Medicine, Bryan , Texas , USA.
Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh , Pennsylvania , USA.
Neurosurgery. 2025 Feb 1;96(2):402-409. doi: 10.1227/neu.0000000000003081. Epub 2024 Jun 28.
Academic productivity is viewed as a critical objective factor for a neurosurgery residency applicant. There has been a consistent rise in academic productivity over the last decade, but a lack of consistent data on the utility of this in helping neurosurgery residency programs identify which applicants will enter academic neurosurgery. This cross-sectional study evaluates the predictiveness of academic productivity before and during residency on career choice, both independent and dependent of training environment.
The 116 accredited neurosurgery residency programs were split into 4 quartile groups based on their 2022 Doximity rankings. Six neurosurgery residency programs were randomly selected from each quartile. Publicly available information including number and type (before or during residency) of publication and type of employment (academic vs nonacademic) was collected on neurosurgeons who matriculated into residency in the year 2000 or later. Multivariable logistic regression was used to explore the associations among neurosurgeon and program characteristics, and an academic career.
A total of 557 neurosurgeons were identified. Group 1 (n = 194) had the highest median publications during residency total (12) and first author (5), as well as the highest percentage of neurosurgeons who attended a top 20 medical school (38.7%), hold a higher educational degree (20.6%), and pursued an academic career (72.2%). Neither attending a top 20 medical school, holding a higher educational degree, nor publications were significant multivariable predictors of an academic career. Being in group 1 was the only significant predictor of entering an academic career across analyses.
Only residency group ranking, not academic productivity, predicted a future academic career. For residency programs evaluating applicants as future academic neurosurgeons, this suggests that program environment is more predictive than traditionally valued characteristics such as research productivity. Additional work is needed to elucidate characteristics or practices by which future academic neurosurgeons can be identified.
学术产出被视为神经外科住院医师申请者的一个关键客观因素。在过去十年中，学术产出持续上升，但缺乏关于其在帮助神经外科住院医师培训项目确定哪些申请者将进入学术神经外科领域方面效用的一致数据。这项横断面研究评估了住院医师培训前和培训期间学术产出对职业选择的预测性，包括独立于和依赖于培训环境的情况。
根据2022年Doximity排名，将116个经认可的神经外科住院医师培训项目分为4个四分位数组。从每个四分位数组中随机选择6个神经外科住院医师培训项目。收集了2000年或之后进入住院医师培训的神经外科医生的公开信息，包括出版物的数量和类型（住院医师培训前或期间）以及就业类型（学术型与非学术型）。使用多变量逻辑回归来探讨神经外科医生和项目特征与学术职业之间的关联。
共识别出557名神经外科医生。第1组（n = 194）在住院医师培训期间的总出版物中位数（12篇）和第一作者出版物中位数（5篇）最高，并且毕业于排名前20的医学院的神经外科医生比例最高（38.7%），拥有更高学位的比例最高（20.6%），从事学术职业的比例最高（72.2%）。毕业于排名前20的医学院、拥有更高学位以及出版物数量均不是学术职业的显著多变量预测因素。在所有分析中，处于第1组是进入学术职业的唯一显著预测因素。
预测未来学术职业的是住院医师培训组排名，而非学术产出。对于将申请者评估为未来学术神经外科医生的住院医师培训项目而言，这表明项目环境比诸如研究产出等传统上看重的特征更具预测性。需要开展更多工作来阐明能够识别未来学术神经外科医生的特征或做法。
