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Predictors of Academic Career Trajectory Among Fellowship-Trained Neurosurgical Oncologists
- Source :
- Journal of Cancer Education. 37:430-438
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Much research has been conducted to investigate predictors of an academic career trajectory among neurosurgeons in general. This study seeks to examine a cohort of fellowship-trained neurosurgical oncologists to determine which factors are associated with a career in academia. Publicly available data on fellowship-trained neurosurgical oncologists was aggregated from ACGME-accredited residency websites, from program websites listed on the AANS Neurosurgical Fellowship Training Program Directory, and from professional websites including Doximity. Bivariate analyses were conducted to determine covariates for a logistic regression model, and a multivariate analysis was conducted to determine which variables were independently associated with an academic career trajectory. A total of 87 neurosurgical oncologists were identified (1991–2018). A total of 73 (83.9%) had > 1 year of protected research time in residency, 33 (37.9%) had an h-index of ≥2 prior to residency, and 63 (72.4%) had an h-index of ≥2 during residency. In multivariate analysis, the only factor independently associated with academic career trajectory among neurosurgical oncologists was achieving an h-index of ≥2 during residency (odds ratio [OR] = 2.93, p = .041). Memorial Sloan Kettering Cancer Center graduated the most neurosurgical oncologists in our cohort (n = 23). Our study establishes a novel factor that is predictive of academic career trajectory among fellowship-trained neurosurgical oncologists, specifically having an h-index of ≥2 during residency. Our results may be useful for those mentoring students and trainees with an interest in pursuing academia.
- Subjects :
- Academic career
medicine.medical_specialty
Multivariate analysis
business.industry
Neuro oncology
Pharmacology toxicology
Public Health, Environmental and Occupational Health
Odds ratio
Logistic regression
03 medical and health sciences
0302 clinical medicine
Oncology
030220 oncology & carcinogenesis
Family medicine
Cohort
Medicine
030212 general & internal medicine
business
Fellowship training
Subjects
Details
- ISSN :
- 15430154 and 08858195
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Journal of Cancer Education
- Accession number :
- edsair.doi...........72e9c63cb3181e22300ced3d36df8983
- Full Text :
- https://doi.org/10.1007/s13187-020-01833-y