Preresidency Publication Number Does Not Predict Academic Career Placement in Neurosurgery

Academic Productivity of Applicant and Program as Predictors of a Future Academic Career in Neurosurgery

BACKGROUND AND OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Posters Presented at North American Skull Base Society 2016-2018: What Factors Influence Their Publication?

Objective  Research productivity impacts an individual's academic credentials and serves to advance the field of neurosurgery at large. Poster presentations allow researchers to share preliminary results with respected colleagues; however, more critical is the ability to publish peer-reviewed articles. Key factors that lead posters to journal publication are not well understood and difficult to quantify. This study investigates the association between bibliometrics of authors who presented posters at the North American Skull Base Society (NASBS) meeting and odds of journal publication. Methods  Posters from the 2016 to 2018 NASBS archive were reviewed. Hirsch-index (h-index) of first (FH) and senior (SH) authors, research type, research topic, and number of poster authors (nAuthPost) were collected. For posters published as journal articles, number of days from poster presentation to publication (nDays), number of authors in published articles (nAuthArt), and journal impact factor (JIF) were recorded. Results  One-hundred sixty-nine of 481 posters (35.1%) were published as articles. Median FH and SH for published versus unpublished posters were 7 versus 5 ( p  = 0.01) and 29 versus 19 ( p  < 0.001), respectively. When adjusted with multivariate regression, only SH ( p  < 0.001) and nAuthPost ( p  = 0.001) were significantly associated with odds of publication. Median (interquartile range [IQR]) nDays was 361 (394). Increased authors from poster to article ( p  = 0.017) and lower FH ( p  = 0.08) were correlated with increased time to publication. Median (IQR) JIF for all publications was 1.723 (1.068). Conclusions  Bibliometrics such as h-index and number of authors from posters can help objectively characterize and predict future success in research productivity.

Identification of Factors that May Predict Career Trajectory Among Neuro-Ophthalmology Fellows

BACKGROUND

There is modest literature regarding fellowship applicant factors that may predict future career achievement. We aim to characterize neuro-ophthalmology fellows and identify and analyze characteristics that may predict future career trajectory.

METHODS

Data, including demographic information, academic background, scholarly activities, and practice information, were collected using publicly available sources, on individuals who completed neuro-ophthalmology fellowships from 2015 to 2021. Summary statistics describing the cohort were calculated. Prefellowship characteristics were compared with postfellowship characteristics to evaluate which prefellowship characteristics may predict postfellowship academic productivity and career achievement.

RESULTS

Data were collected on 174 individuals (41.6% men, 58.4% women). Sixty-five percent were residency-trained in ophthalmology, 31% neurology, 1.7% both, and 1.7% pediatric neurology. Fifty-eight percent completed residency in the US, 8% in Canada, 32% internationally, and 2% in multiple locations. Among those practicing in the US/Canada, 63.8% practice at academic centers, 35.3% private practice, and 0.9% at both. Thirty-one percent completed additional subspecialty training and 17.8% additional graduate degrees. Completion of additional fellowship training or graduate degrees, and publication of more papers before fellowship, correlated with later academic productivity. There were no significant correlations between completion of an additional fellowship or graduate degree with current practice environment or attainment of leadership roles. There were no significant correlations between total publishing productivity prefellowship and practice environment or leadership roles postfellowship.

CONCLUSIONS

Additional graduate degrees/subspecialty training, and prefellowship academic productivity, correlated with later academic productivity among neuro-ophthalmologists, suggesting that these metrics may be helpful in predicting future academic performance among fellowship applicants.

Gearing Up for the U.S. Medical Licensing Examination Step 1 Pass/Fail Transition, Evaluating the Role of Research Productivity as an Alternative During the Neurosurgical Residency Selection Process: An Overview

Neurosurgery residency programs are the most competitive among the surgical specialties for applicants to match into. U.S. Medical Licensing Examination (USMLE) step 1 scores are staple and pivotal in narrowing down applicants for granting interviews and ranking in the match process. The upcoming transition from a numeric to binary step 1 scoring shifts the emphasis on using the status quo Step 2 Clinical Knowledge numeric scoring as the only objective measure. It can prove insubstantial for accurate assessment of competencies, further urging residency programs to widen their selection protocols to allow multiple assessments of competency. Research experience has consistently proved to result in higher successful match rates, and a positive correlation is seen with the number of research publications and Hirsch indices. However, with a predicted emphasis on research with the shift in scoring practices, these tools provide inadequate insight into authorship, contributions, type of publications, and community impact, warranting the need to include supplementary modifications, surrogates, or alternatives to such tools for a more comprehensive and equitable assessment of research. This study summarizes the role of research in the neurosurgical match process, describes nuances in research evaluation, and introduces novel Hirsch indices and additional strategies to address these nuances for equitable evaluation of research productions.

Predicting Academic Career Placement via Development of Novel Intra-residency Metrics

OBJECTIVE

Increasing centralization of high-level neurosurgical practice at academic centers has increased the need for academic neurosurgeons. The lack of systematic metrics-based analyses among neurosurgery trainees and the recent pass/fail U.S. Medical Licensing Examination system necessitates a multiparametric approach to assess academic success among trainees.

METHODS

We conducted a comprehensive analysis of the University of Miami residency program using 2 data sets, one containing applicants' pre-residency metrics and a second containing trainees' intra-residency metrics. Intra-residency metrics were subjectively and anonymously assessed by faculty. Univariate and multivariate logistic regression analyses were performed to determine differences among academic and non-academic neurosurgeons and identify predictors of academic careers.

RESULTS

Academic neurosurgeons had a significantly higher median Step 1 percentile relative to non-academic neurosurgeons (P = 0.015), and medical school ranking had no significant impact on career (P > 0.05). Among intra-residency metrics, academic neurosurgeons demonstrated higher mean rating of leadership skills (mean difference [MD] 0.46, P = 0.0011), technical skill (MD 0.42, P = 0.006), and other intra-residency metrics. Higher administrative and leadership skills were significantly associated with increased likelihood of pursuing an academic career (odds ratio [OR] 9.03, 95% CI [2.296 to 49.88], P = 0.0044). Clinical judgment and clinical knowledge were strongly associated with pursuit of an academic career (OR 9.33 and OR 9.32, respectively, with P = 0.0060 and P = 0.0010, respectively).

CONCLUSIONS

Pre-residency metrics had little predictive value in determining academic careers. Furthermore, medical school ranking does not play a significant role in determining a career in academic neurosurgery. Intra-residency judgment appears to play a significant role in career placement, as academic neurosurgeons were rated consistently higher than their non-academic peers in multiple key parameters by their attending physicians.

Academically Inclined: Predictors of Early Career Trajectory and Avenues for Early Intervention Among Neurosurgery Trainees

BACKGROUND

The relationship of academic activities before and during neurosurgery residency with fellowship or career outcomes has not been studied completely.

OBJECTIVE

To assess possible predictors of fellowship and career outcomes among neurosurgery residents.

METHODS

US neurosurgery graduates (2018-2020) were assessed retrospectively for peer-reviewed citations of preresidency vs intraresidency publications, author order, and article type. Additional parameters included medical school, residency program, degree (MD vs DO; PhD), postgraduate fellowship, and academic employment.

RESULTS

Of 547 neurosurgeons, 334 (61.1%) entered fellowships. Fellowship training was significantly associated with medical school rank and first-author publications. Individuals from medical schools ranked 1 to 50 were 1.6 times more likely to become postgraduate fellows than individuals from medical schools ranked 51 to 92 (odds ratio [OR], 1.63 [95% CI 1.04-2.56]; P = .03). Residents with ≥2 first-author publications were almost twice as likely to complete a fellowship as individuals with <2 first-author publications (OR, 1.91 [95% CI 1.21-3.03]; P = .006). Among 522 graduates with employment data available, academic employment obtained by 257 (49.2%) was significantly associated with fellowship training and all publication-specific variables. Fellowship-trained graduates were twice as likely to pursue academic careers (OR, 1.99 [95% CI 1.34-2.96]; P < .001) as were individuals with ≥3 first-author publications ( P < .001), ≥2 laboratory publications ( P = .04), or ≥9 clinical publications ( P < .001).

CONCLUSION

Research productivity, medical school rank, and fellowships are independently associated with academic career outcomes of neurosurgeons. Academically inclined residents may benefit from early access to mentorship, sponsorship, and publishing opportunities.

The Author Impact Factor as a Metric to Evaluate the Impact of Neurosurgical Researchers

OBJECTIVE

The objective of this study was to assess the Author Impact Factor (AIF) as a useful metric and as a complement to the h-index among neurosurgical researchers.

METHODS

The 5-year AIF and h-index were compared among 3 groups of researchers: 1) the 100 most prolific of all time within general neurosurgical journals ("Experienced"), 2) the 100 most prolific during the 2015-2019 period within general neurosurgical journals ("Trending Group"), and 3) the 100 postgraduation year 7 neurosurgical residents with the highest h-index ("Amateur").

RESULTS

The Amateur group had a lower median h-index than the Experienced (6 vs. 55; P < 0.001) and Trending (6 vs. 43; P < 0.001) groups. The highest h-index of the Amateur group (24) was lower than the first quartile of the Experienced (46.25) and Trending (26.00) groups. The Amateur group had a lower median 5-year AIF than the Experienced (2.15 vs. 3.17; P < 0.001) and Trending (2.15 vs. 2.85; P = 0.02) groups. Unlike the h-index, the gap between the 5-year AIF distribution of the Amateur group and other groups was not profound. Although there was a positive correlation between the metrics in the 3 groups, they did not proxy for each other. For instance, while the h-index of some experienced authors that have not published recently was high, their AIFs were zero. Also, some Amateur authors published very impactful articles and had a high 5-year AIF. However, since their number of publications is inevitably low, their h-index were low.

CONCLUSIONS

The AIF provides intuitive and complementary information to the h-index regarding the research output of neurosurgical authors.

Analyzing international medical graduate research productivity for application to US neurosurgery residency and beyond: A survey of applicants, program directors, and institutional experience

Background

The authors investigated perceived discrepancies between the neurosurgical research productivity of international medical graduates (IMGs) and US medical graduates (USMGs) through the perspective of program directors (PDs) and successfully matched IMGs.

Methods

Responses to 2 separate surveys on neurosurgical applicant research productivity in 115 neurosurgical programs and their PDs were analyzed. Neurosurgical research participation was analyzed using an IMG survey of residents who matched into neurosurgical residency within the previous 8 years. Productivity of IMGs conducting dedicated research at the study institution was also analyzed.

Results

Thirty-two of 115 (28%) PDs responded to the first research productivity survey and 43 (37%) to the second IMG research survey. PDs expected neurosurgery residency applicants to spend a median of 12–24 months on research (Q₁-Q₃: 0–12 to 12–24; minimum time: 0–24; maximum time: 0–48) and publish a median of 5 articles (Q₁-Q3: 2–5 to 5–10; minimum number: 0–10; maximum number: 4–20). Among 43 PDs, 34 (79%) ranked “research institution or associated personnel” as the most important factor when evaluating IMGs' research. Forty-two of 79 (53%) IMGs responding to the IMG-directed survey reported a median of 30 months (Q₁-Q₃: 18–48; range: 4–72) of neurosurgical research and 12 published articles (Q₁-Q₃: 6–24; range: 1–80) before beginning neurosurgical residency. Twenty-two PDs (69%) believed IMGs complete more research than USMGs before residency. Of 20 IMGs conducting dedicated neuroscience/neurosurgery research at the study institution, 16 of 18 who applied matched or entered a US neurosurgical training program; 2 applied and entered a US neurosurgical clinical fellowship.

Conclusion

The research work of IMGs compared to USMGs who apply to neurosurgery residency exceeds PDs' expectations regarding scientific output and research time. Many PDs perceive IMG research productivity before residency application as superior to USMGs. Although IMGs comprise a small percentage of trainees, they are responsible for a significant amount of US-published neurosurgical literature. Preresidency IMG research periods may be improved with dedicated mentoring and advising beginning before the research period, during the period, and within a neurosurgery research department, providing a formal structure such as a research fellowship or graduate program for IMGs aspiring to train in the US.

Predictors of Academic Career Trajectory Among Fellowship-Trained Neurosurgical Oncologists

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.

NIH funding trends for neurosurgeon-scientists from 1993-2017: Biomedical workforce implications for neurooncology

INTRODUCTION

Neurosurgeons represent 0.5% of all physicians and currently face a high burden of disease. Physician-scientists are essential to advance the mission of National Academies of Science (NAS) and National Institutes of Health (NIH) through discovery and bench to bedside translation. We investigated trends in NIH neurosurgeon-scientist funding over time as an indicator of physician-scientist workforce training.

METHODS

We used NIH Research Portfolio Online Reporting Tools (RePORTER) to extract grants to neurosurgery departments and neurosurgeons from 1993 to 2017. Manual extraction of each individual grant awardee was conducted.

RESULTS

After adjusting for U.S. inflation (base year: 1993), NIH funding to neurosurgery departments increased yearly (P < 0.00001). However, neurosurgeon-scientists received significantly less NIH funding compared to scientists (including basic scientists and research only neurosurgeons) (P = 0.09). The ratio of neurosurgeon-scientists to scientists receiving grants was significantly reduced (P = 0.002). Interestingly, the percentage of oncology-related neurosurgery grants significantly increased throughout the study period (P = 0.002). The average number of grants per neurosurgeon-scientists showed an upward trend (P < 0.001); however, the average number of grants for early-career neurosurgeon-scientists, showed a significant downward trend (P = 0.05).

CONCLUSION

Over the past 23 years, despite the overall increasing trends in the number of NIH grants awarded to neurosurgery departments overall, the proportion of neurosurgeon-scientists that were awarded NIH grants compared to scientists demonstrates a declining trend. This observed shift is disproportionate in the number of NIH grants awarded to senior level compared to early-career neurosurgeon-scientists, with more funding allocated towards neurosurgical-oncology-related grants.

Predictors of an academic career among fellowship-trained spinal neurosurgeons

OBJECTIVE

Although fellowship training is becoming increasingly common in neurosurgery, it is unclear which factors predict an academic career trajectory among spinal neurosurgeons. In this study, the authors sought to identify predictors associated with academic career placement among fellowship-trained neurological spinal surgeons.

METHODS

Demographic data and bibliometric information on neurosurgeons who completed a residency program accredited by the Accreditation Council for Graduate Medical Education between 1983 and 2019 were gathered, and those who completed a spine fellowship were identified. Employment was denoted as academic if the hospital where a neurosurgeon worked was affiliated with a neurosurgical residency program; all other positions were denoted as nonacademic. A logistic regression model was used for multivariate statistical analysis.

RESULTS

A total of 376 fellowship-trained spinal neurosurgeons were identified, of whom 140 (37.2%) held academic positions. The top 5 programs that graduated the most fellows in the cohort were Cleveland Clinic, The Johns Hopkins Hospital, University of Miami, Barrow Neurological Institute, and Northwestern University. On multivariate analysis, increased protected research time during residency (OR 1.03, p = 0.044), a higher h-index during residency (OR 1.12, p < 0.001), completing more than one clinical fellowship (OR 2.16, p = 0.024), and attending any of the top 5 programs that graduated the most fellows (OR 2.01, p = 0.0069) were independently associated with an academic career trajectory.

CONCLUSIONS

Increased protected research time during residency, a higher h-index during residency, completing more than one clinical fellowship, and attending one of the 5 programs graduating the most fellowship-trained neurosurgical spinal surgeons independently predicted an academic career. These results may be useful in identifying and advising trainees interested in academic spine neurosurgery.

Does double-blind peer review impact gender authorship trends? An evaluation of two leading neurosurgical journals from 2010 to 2019

OBJECTIVE

Publications are key for advancement within academia. Although women are underrepresented in academic neurosurgery, the rates of women entering residency, achieving board certification, and publishing papers are increasing. The goal of this study was to assess the current status of women in academic neurosurgery publications. Specifically, this study sought to 1) survey female authorship rates in the Journal of Neurosurgery (JNS [not including JNS: Spine or JNS: Pediatrics]) and Neurosurgery from 2010 to 2019; 2) analyze whether double-blind peer review (started in Neurosurgery in 2011) altered female authorship rates relative to single-blind review (JNS); and 3) evaluate how female authorship rates compared with the number of women entering neurosurgery residency and obtaining neurosurgery board certification.

METHODS

Genders of the first and last authors for JNS and Neurosurgery articles from 2010 to 2019 were obtained. Data were also gathered on the number and percentage of women entering neurosurgery residency and women obtaining American Board of Neurological Surgeons (ABNS) certification between 2010 and 2019.

RESULTS

Women accounted for 13.4% (n = 570) of first authors and 6.8% (n = 240) of last authors in JNS and Neurosurgery publications. No difference in rates of women publishing existed between the two journals (first authors: 13.0% JNS vs 13.9% Neurosurgery, p = 0.29; last authors: 7.3% JNS vs 6.0% Neurosurgery, p = 0.25). No difference existed between women first or last authors in Neurosurgery before and after initiation of double-blind review (p = 0.066). Significant concordance existed between the gender of first and last authors: in publications with a woman last author, the odds of the first author being a woman was increased by twofold (OR 2.14 [95% CI 1.43-3.13], p = 0.0001). Women represented a lower proportion of authors of invited papers (8.6% of first authors and 3.1% of last authors were women) compared with noninvited papers (14.1% of first authors and 7.4% of last authors were women) (first authors: OR 0.576 [95% CI 0.410-0.794], p = 0.0004; last authors: OR 0.407 [95% CI 0.198-0.751], p = 0.001). The proportion of women US last authors (7.4%) mirrors the percentage of board-certified women neurosurgeons (5.4% in 2010 and 6.8% in 2019), while the percentage of women US first authors (14.3%) is less than that for women entering neurosurgical residency (11.2% in 2009 and 23.6% in 2018).

CONCLUSIONS

This is the first report of female authorship in the neurosurgical literature. The authors found that single- versus double-blind peer review did not impact female authorship rates at two top neurosurgical journals.

An Online Calculator for Predicting Academic Career Trajectory in Neurosurgery in the United States

OBJECTIVE

Determining factors that predict a career in academic neurosurgery can help to improve neurosurgical training and faculty mentoring efforts. Although many academic career predictors have been established in the literature, no method has yet been developed to allow for individualized predictions of an academic career trajectory. The objective of the present study was to develop a Web-based calculator for predicting the probability of a career in academic neurosurgery.

METHODS

The present study used data from neurosurgeons listed in the American Association of Neurological Surgeons database. A logistic regression model was used to predict probability of an academic career, and bootstrapping with 2000 samples was used to calculate an optimism-corrected C-statistic. P < 0.05 was considered statistically significant.

RESULTS

A total of 1818 neurosurgeons were included in our analysis. Most surgeons were male (89.7%) and employed in nonacademic positions (60.2%). Factors independently associated with an academic career were female sex, attending a residency program affiliated with a top 10 U.S. News medical school, attaining a Doctor of Philosophy (PhD) degree, attaining a Master of Science (MS) degree, higher h-index during residency, more months of protected research time during residency, and completing a clinical fellowship. Our final model had an optimism-corrected C-statistic of 0.74. This model was incorporated into a Web-based calculator (https://neurooncsurgery.shinyapps.io/academic_calculator/).

CONCLUSIONS

The present study consolidates previous research investigating neurosurgery career predictors into a simple, open-access tool. Our work may serve to better clarify the many factors influencing trainees' likelihood of pursuing a career in academic neurosurgery.

Educational Program Rankings Are Independently Associated With Residents' Academic Career Trajectory in Neurological Surgery

OBJECTIVE

Many studies have sought to determine predictors of academic career placement in surgical subspecialities. However, previous research has yet to establish whether the ranking of a surgeon's undergraduate institution or medical school is significantly associated with pursuit of an academic career. The purpose of this study was to investigate these novel factors' predictive impact on an academic career in the surgical subspeciality of neurosurgery. Factors investigated included undergraduate university rankings, medical school rankings, and residency program rankings.

DESIGN

Data were retrospectively collected for 884 alumni of Accreditation Council for Graduate Medical Education neurological surgery residency programs. Bivariate analyses were conducted to determine covariates for a logistic regression model, and multivariate analysis was performed with 13 covariates to determine which factors were independently associated with academic career trajectory.

RESULTS

In multivariate analysis, factors that were independently associated with an academic career in neurological surgery included having 1 year or more of protected research time during residency (odds ratio [OR] =1.96, p = 0.020), attending a "top" undergraduate university (OR =1.88, p = 0.00033), attending a "top" research medical school (OR = 1.53, p = 0.031) attending a residency program affiliated with a "top" research medical school (OR = 1.78, p = 0.012), possessing a Master of Science (OR = 3.46, p = 0.00097), or Doctor of Philosophy (OR = 2.05, p = 0.0019) degree, and completing a clinical fellowship (OR = 2.56, p = 1.90 × 10^-8).

CONCLUSIONS

Our study establishes 3 novel factors for predicting residents' choice of pursuing an academic career in neurological surgery, namely undergraduate university rank, medical school rank, and completing residency at a program affiliated with a "top" research medical school. Such findings reinforce the notion that educational and training environments are key in shaping the career trajectory of future academic surgical subspecialists.

Association between Graduate Degrees and Publication Productivity in Academic Neurosurgery

Object:

Many neurosurgeons pursue graduate degrees as part of their training. In some jurisdictions, graduate degrees are considered a necessary condition of employment in academic neurosurgery. However, the relationship between possession of a graduate degree and eventual research productivity is not well established. We used bibliometric methods to analyze publications from academic Canadian neurosurgeons, with an emphasis on level of graduate training.

Methods:

All neurosurgeons holding academic appointments at Canadian institutions from 2012–2016 were included. Over that time frame, Scopus was used to quantify the number of papers, number of citations, 5-year h-index and 5-year r-index, CiteScore, authorship position, and paper type (clinical or basic science). Publication output was compared between neurosurgeons grouped as MD-only, MD-Masters, or MD-PhD.

Results:

In total, 2557 abstracts from 131 Canadian neurosurgeons were analyzed. We found that MD-Masters neurosurgeons published significantly more total papers, clinical papers, and first/last author papers than MD-only neurosurgeons. MD-PhD neurosurgeons had the same findings, in addition to more basic science papers, in journals with a higher CiteScore, 5-year h-index, and 5-year r-index than both other groups. These results were preserved even with significant outliers removed. There was no difference if graduate degrees were obtained before or after starting residency. There was no correlation with career length and number of recent papers published.

Conclusion:

The attainment of a graduate degree has an important association with future publication productivity for academic neurosurgeons. These data should be useful for hiring committees considering the value of graduate degrees from applicants for positions in academic neurosurgery.

Predictors of an academic career among fellowship-trained open vascular and endovascular neurosurgeons

OBJECTIVE

Although previous studies have explored factors that predict an academic career among neurosurgery residents in general, such predictors have yet to be determined within specific neurosurgical subspecialties. The authors report on predictors they identified as correlating with academic placement among fellowship-trained vascular neurosurgeons.

METHODS

A database was created that included all physicians who graduated from ACGME (Accreditation Council for Graduate Medical Education)-accredited neurosurgery residency programs between 1960 and 2018 using publicly available online data. Neurosurgeons who completed either open vascular or endovascular fellowships were identified. Subsequent employment of vascular or endovascular neurosurgeons in academic centers was determined. A position was considered academic if the hospital of employment was affiliated with a neurosurgery residency program; all other positions were considered non-academic. Bivariate analyses were conducted using Fisher's exact test or the Mann-Whitney U-test, and multivariate analysis was performed using a logistic regression model.

RESULTS

A total of 83 open vascular neurosurgeons and 115 endovascular neurosurgeons were identified. In both cohorts, the majority of neurosurgeons were employed in academic positions after training. In bivariate analysis, only 2 factors were significantly associated with a career in academic neurosurgery for open vascular neurosurgeons: 1) an h-index of ≥ 2 during residency (OR 3.71, p = 0.016), and 2) attending a top 10 residency program based on U.S. News and World Report rankings (OR 4.35, p = 0.030). In bivariate analysis, among endovascular neurosurgeons, having an h-index of ≥ 2 during residency (OR 4.35, p = 0.0085) and attending a residency program affiliated with a top 10 U.S. News and World Report medical school (OR 2.97, p = 0.029) were significantly associated with an academic career. In multivariate analysis, for both open vascular and endovascular neurosurgeons, an h-index of ≥ 2 during residency was independently predictive of an academic career. Attending a residency program affiliated with a top 10 U.S. News and World Report medical school independently predicted an academic career among endovascular neurosurgeons only.

CONCLUSIONS

The authors report that an h-index of ≥ 2 during residency predicts pursuit of an academic career among vascular and endovascular neurosurgeons. Additionally, attendance of a residency program affiliated with a top research medical school independently predicts an academic career trajectory among endovascular neurosurgeons. This result may be useful to identify and mentor residents interested in academic vascular neurosurgery.

An Analysis of Publication Productivity During Residency for 1506 Neurosurgical Residents and 117 Residency Departments in North America

BACKGROUND

Bibliometrics is defined as the study of statistical and mathematical methods used to quantitatively analyze scientific literature. The application of bibliometrics in neurosurgery continues to evolve.

OBJECTIVE

To calculate a number of publication productivity measures for almost all neurosurgical residents and departments within North America. These measures were correlated with survey results on the educational environment within residency programs.

METHODS

During May to June 2017, data were collected from departmental websites and Scopus to compose a bibliometric database of neurosurgical residents and residency programs. Data related to authorship value and study content were collected on all articles published by residents. A survey of residency program research and educational environment was administered to program directors and coordinators; results were compared with resident academic productivity.

RESULTS

The median number of publications in residency was 3; median h-index and Resident index were 1 and 0.17 during residency, respectively. There was a statistically significant difference in academic productivity among male neurosurgical residents compared with females. The majority of articles published were tier 1 clinical articles. Residency program research support was significantly associated with increased resident productivity (P < .001). Scholarly activity requirements were not associated with increased resident academic productivity.

CONCLUSION

This study represents the most comprehensive bibliometric assessment of neurosurgical resident academic productivity during training to date. New benchmarks for individual and department academic productivity are provided. A supportive research environment for neurosurgical residents is associated with increased academic productivity, but a scholarly activity requirement was, surprisingly, not shown to have a positive effect.

Impact of master's degree attainment upon academic career placement in neurosurgery

OBJECTIVE

Previous authors have investigated many factors that predict an academic neurosurgical career over private practice, including attainment of a Doctor of Philosophy (PhD) and number of publications. Research has yet to demonstrate whether a master's degree predicts an academic neurosurgical career. This study quantifies the association between obtaining a Master of Science (MS), Master of Public Health (MPH), or Master of Business Administration (MBA) degree and pursuing a career in academic neurosurgery.

METHODS

Public data on neurosurgeons who had graduated from Accreditation Council for Graduate Medical Education (ACGME)-accredited residency programs in the period from 1949 to 2019 were collected from residency and professional websites. Residency graduates with a PhD were excluded to isolate the effect of only having a master's degree. A position was considered "academic" if it was affiliated with a hospital that had a neurosurgery residency program; other positions were considered nonacademic. Bivariate analyses were performed with Fisher's exact test. Multivariate analysis was performed using a logistic regression model.

RESULTS

Within our database of neurosurgery residency alumni, there were 47 (4.1%) who held an MS degree, 31 (2.7%) who held an MPH, and 10 (0.9%) who held an MBA. In bivariate analyses, neurosurgeons with MS degrees were significantly more likely to pursue academic careers (OR 2.65, p = 0.0014, 95% CI 1.40-5.20), whereas neurosurgeons with an MPH (OR 1.41, p = 0.36, 95% CI 0.64-3.08) or an MBA (OR 1.00, p = 1.00, 95% CI 0.21-4.26) were not. In the multivariate analysis, an MS degree was independently associated with an academic career (OR 2.48, p = 0.0079, 95% CI 1.28-4.93). Moreover, postresidency h indices of 1 (OR 1.44, p = 0.048, 95% CI 1.00-2.07), 2-3 (OR 2.76, p = 2.01 × 10-8, 95% CI 1.94-3.94), and ≥ 4 (OR 4.88, p < 2.00 × 10-16, 95% CI 3.43-6.99) were all significantly associated with increased odds of pursuing an academic career. Notably, having between 1 and 11 months of protected research time was significantly associated with decreased odds of pursuing academic neurosurgery (OR 0.46, p = 0.049, 95% CI 0.21-0.98).

CONCLUSIONS

Neurosurgery residency graduates with MS degrees are more likely to pursue academic neurosurgical careers relative to their non-MS counterparts. Such findings may be used to help predict residency graduates' future potential in academic neurosurgery.

Academic output of German neurosurgical residents in 35 academic neurosurgery residency programs

BACKGROUND

The scientific activity of neurosurgeons and neurosurgery residents as measured by bibliometric parameters is of increased interest. While data about academic output for neurosurgeons in the USA, the UK, and Canada have been published, no similar results for German neurosurgical residents exist. Within this study, we aim to evaluate the academic output of German neurosurgery residents in 35 academic residency programs.

METHODS

Data for each resident were collected from the departmental websites, Pubmed, and Scopus. Further analyses evaluated the relationship between publication productivity, sex, and academic degree (Dr. med.).

RESULTS

Data from 424 neurosurgery residents were analyzed. A total of 1222 publications were considered. A total of 355 (29%) of the 1222 publications were first-author publications. The average number of publications per resident was 2.9; the average h-index and m-quotient was 1.1 and 0.4, respectively. There was a statistically significant difference in academic output and h-index among neurosurgical residents with a doctoral degree compared with residents without such degree (5.3 vs. 1.3, p < 0.0001 and 2.0 vs. 0.5, p < 0.0001).

CONCLUSION

This is the very first study evaluating the academic output of neurosurgical residents in academic neurosurgical departments in Germany.

The Career Impact of the National Undergraduate Neuroanatomy Competition

BACKGROUND

Neurosurgery is a notoriously difficult career to enter and requires medical students to engage in extracurricular activities to demonstrate their commitment to the specialty. The National Undergraduate Neuroanatomy Competition (NUNC) was established in 2013 as a means for students to display this commitment as well as academic ability.

METHODS

A bespoke 22-item questionnaire was designed to determine career outcomes and the role of competition attendance in job applications. It was distributed using the SurveyMonkey website to the 87 attendees at the 2013 and 2014 competitions.

RESULTS

Responses were received by 40 competitors (response rate, 46.0%). Twenty-four responders (60.0%) intended to pursue a career in either neurosurgery (n = 18) or neurology (n = 6). This included 10 responders (25.0%) who had successfully entered either neurosurgery (n = 9) or neurology (n = 1). The performance of these 10 was significantly better than the other responders (57.0 ± 13.6% vs. 46.5 ± 13.5% [n = 30]; P = 0.036). Seventeen responders (42.5%) either included their attendance at NUNC in a post-Foundation job application or intend to.

CONCLUSIONS

The NUNC provides the opportunity for medical students to demonstrate their interest in neurosurgery. It has the potential to be used as a tool for recognizing medical students suitable for neurosurgery training.

Attitudes and opinions of US neurosurgical residents toward research and scholarship: a national survey

OBJECTIVE

The analysis of resident research productivity in neurosurgery has gained significant recent interest. Resident scholarly output affects departmental productivity, recruitment of future residents, and likelihood of future research careers. To maintain and improve opportunities for resident research, the authors evaluated factors that affect resident attitudes toward neurosurgical research on a national level.

METHODS

An online survey was distributed to all US neurosurgical residents. Questions assessed interest in research, perceived departmental support of research, and resident-perceived limitations in pursuing research. Residents were stratified based on number of publications above the median (AM; ≥ 14) or below the median (BM; < 14) for evaluation of factors influencing productivity.

RESULTS

A total of 278 resident responses from 82 US residency programs in 30 states were included (a 20% overall response rate). Residents predominantly desired future academic positions (53.2%), followed by private practice with some research (40.3%). Residents reported a mean ± SD of 11 ± 14 publications, which increased with postgraduate year level. The most common type of research involved retrospective cohort studies (24%) followed by laboratory/benchtop (19%) and case reports (18%). Residents as a group spent on average 14.1 ± 18.5 hours (median 7.0 hours) a week on research. Most residents (53.6%) had ≥ 12 months of protected research time. Mentorship (92.4%), research exposure (89.9%), and early interest in science (78.4%) had the greatest impact on interest in research while the most limiting factors were time (91.0%), call scheduling (47.1%), and funding/grants (37.1%). AM residents cited research exposure (p = 0.003), neurosurgery conference exposure (p = 0.02), formal research training prior to residency (p = 0.03), internal funding sources (p = 0.05), and software support (p = 0.02) as most important for their productivity. Moreover, more productive residents applied and received a higher number of < $10,000 and ≥ $10,000 grants (p < 0.05). A majority of residents (82.4%) agreed or strongly agreed with pursuing research throughout their professional careers. Overall, about half of residents (49.6%) were encouraged toward continued neurosurgical research, while the rest were neutral (36.7%) or discouraged (13.7%). Free-text responses helped to identify solutions on a departmental, regional, and national level that could increase interest in neurosurgical research.

CONCLUSIONS

This survey evaluates various factors affecting resident views toward research, which may also be seen in other specialties. Residents remain enthusiastic about neurosurgical research and offer several solutions to the ever-scarce commodities of time and funding within academic medicine.

Postgraduate publishing output in pediatric neurosurgery: correlation with fellowship site and individual scholars

OBJECTIVE

The objective of this study was to analyze the publication output of postgraduate pediatric neurosurgery fellows for a 10-year period as well as identify 25 individual highly productive pediatric neurosurgeons. The correlation between academic productivity and the site of fellowship training was studied.

METHODS

Programs certified by the Accreditation Council for Pediatric Neurosurgery Fellowships that had 5 or more graduating fellows from 2006 to 2015 were included for analysis. Fellows were queried using Scopus for publications during those 10 years with citation data through 2017. Pearson correlation coefficients were calculated, comparing program rankings of faculty against fellows using the revised Hirsch index (r-index; primary) and Hirsch index (h-index; secondary). A list of 25 highly accomplished individual academicians and their fellowship training locations was compiled.

RESULTS

Sixteen programs qualified with 152 fellows from 2006 to 2015; 136 of these surgeons published a total of 2009 articles with 23,735 citations. Most publications were pediatric-specific (66.7%) clinical articles (93.1%), with middle authorship (55%). Co-investigators were more likely from residency than fellowship. There was a clustering of the top 7 programs each having total publications of around 120 or greater, publications per fellow greater than 12, more than 1200 citations, and adjusted ir10 (revised 10-year institutional h-index) and ih10 (10-year institutional h-index) values of approximately 2 or higher. Correlating faculty and fellowship program rankings yielded correlation coefficients ranging from 0.53 to 0.80. Fifteen individuals (60%) in the top 25 (by r5 index) list completed their fellowship at 1 of these 7 institutions.

CONCLUSIONS

Approximately 90% of fellowship-trained pediatric neurosurgeons have 1 or more publications, but the spectrum of output is broad. There is a strong correlation between where surgeons complete their fellowships and postgraduate publications.