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1.
Neurosurg Focus ; 55(5): E9, 2023 11.
Artigo em Inglês | MEDLINE | ID: mdl-37913533

RESUMO

OBJECTIVE: Neurosurgeons frequently move throughout their careers, with moves driven by personal and professional factors. In this study, the authors analyzed these migration trends through a dynamic migratory map and statistical review, with a particular focus on differences in education and practice patterns between male and female neurosurgeons. METHODS: A list containing all board-certified and -affiliated US neurosurgeons practicing in 2019 was obtained from the American Association of Neurological Surgeons. The list was augmented to include demographic and location information for medical school, residency, fellowship(s), and current practice for all neurosurgeons with publicly available data. Migration heatmaps were generated, and migration patterns over 10-year intervals were plotted. A web tool was additionally created to allow for dynamic visualization of this database. RESULTS: The database included 5307 neurosurgeons with a mean age of 57.2 ± 11.3 years. The female population made up 8.93% of all neurosurgeons, and were found to be more likely to complete fellowships than their male counterparts, at 54.2% and 39.1%, respectively (p < 0.0001). A total of 39.5% of all neurosurgeons completed at least one fellowship. A large proportion of currently practicing US neurosurgeons completed medical school internationally in the 1990s. Recently, there has been a trend in neurosurgeons choosing to practice in the South, emigrating from the Northeast and the Western US Census regions. By population, the Western US region trained the fewest neurosurgeons at 1 per 115,000 residents, and the Northeastern US region trained the most at 1 per 49,000. The web tool provides a simple interface to visualize the database on a world map. CONCLUSIONS: Diversity, equity, and inclusion in neurosurgery have been a strong point of discussion in recent literature, with neurosurgeons comprising one of the most gender-disparate workforces in the US medical system. This study provides additional metrics to assess these disparities to help motivate further action toward a larger, more diverse neurosurgical community.


Assuntos
Internato e Residência , Neurocirurgia , Humanos , Masculino , Feminino , Estados Unidos , Pessoa de Meia-Idade , Idoso , Neurocirurgiões , Neurocirurgia/educação , Procedimentos Neurocirúrgicos , Recursos Humanos
2.
J Neurosurg ; : 1-10, 2019 Aug 30.
Artigo em Inglês | MEDLINE | ID: mdl-31470404

RESUMO

OBJECTIVE: Neurosurgeons play an important role in advancing medicine through research, the funding of which is historically linked to the National Institutes of Health (NIH). The authors defined variables associated with neurosurgical NIH funding, prevalence of funded topics by neurosurgical subspecialty, and temporal trends in NIH neurosurgical funding. METHODS: The authors conducted a retrospective review of NIH-funded American Association of Neurological Surgeons members using NIH RePORTER (http://report.nih.gov/) for the years 1991-2015. RESULTS: The authors followed 6515 neurosurgeons from 1991 to 2015, including 6107 (94%) non-MD-PhD physicians and 408 (6%) MD-PhDs. NIH grants were awarded to 393 (6%) neurosurgeons, with 23.2% of all first-time grants awarded to the top 5 funded institutions. The average total funded grant-years per funded neurosurgeon was 12.5 (range 1-85 grant-years). A higher percentage of MD-PhDs were NIH funded than MDs (22% [n = 91] vs 5% [n = 297], p < 0.0001). The most common grants awarded were R01 (128, 33%), K08 (69, 18%), F32 (60, 15%), M01 (50, 13%), and R21 (39, 10%). F32 and K08 recipients were 9-fold (18% vs 2%, p < 0.001) and 19-fold (38% vs 2%, p < 0.001) more likely to procure an R01 and procured R01 funding earlier in their careers (F32: 7 vs 12 years after residency, p = 0.03; K08: 9 vs 12 years, p = 0.01). Each year, the number of neurosurgeons with active grants linearly increased by 2.2 (R2 = 0.81, p < 0.001), whereas the number of total active grants run by neurosurgeons increased at nearly twice the rate (4.0 grants/year) (R2 = 0.91, p < 0.001). Of NIH-funded neurosurgical grants, 33 (9%) transitioned to funded clinical trial(s). Funded neurosurgical subspecialties included neuro-oncology (33%), functional/epilepsy (32%), cerebrovascular (17%), trauma (10%), and spine (6%). Finally, the authors modeled trends in the number of active training grants and found a linear increase in active R01s (R2 = 0.95, p < 0.001); however, both F32 (R2 = 0.36, p = 0.01) and K08 (R2 = 0.67, p < 0.001) funding had a significant parabolic rise and fall centered around 2003. CONCLUSIONS: The authors observed an upward trend in R01s awarded to neurosurgeons during the last quarter century. However, their findings of decreased K08 and F32 training grant funding to neurosurgeons and the impact of these training grants on the ultimate success and time to success for neurosurgeons seeking R01 funding suggests that this upward trend in R01 funding for neurosurgeons will be difficult to maintain. The authors' work underscores the importance of continued selection and mentorship of neurosurgeons capable of impacting patient care through research, including the MD-PhDs, who are noted to be more represented among NIH-funded neurosurgeons.

3.
J Neurosurg Pediatr ; 20(1): 51-55, 2017 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-28387643

RESUMO

Pediatric high-grade glioma is a rare tumor characterized by high mortality. The authors report the first case of a high-grade glioma associated with a GOPC(FIG)-ROS1 fusion in a pediatric patient. The patient underwent gross-total resection at the age of 4 years, followed by adjuvant high-dose chemotherapy and autologous hematopoietic stem cell rescue. At 30 months after transplantation, she remains disease free.


Assuntos
Neoplasias Encefálicas/genética , Neoplasias Encefálicas/cirurgia , Proteínas de Transporte/genética , Glioma/genética , Glioma/cirurgia , Proteínas de Membrana/genética , Proteínas Tirosina Quinases/genética , Proteínas Proto-Oncogênicas/genética , Proteínas Adaptadoras de Transdução de Sinal , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Encéfalo/cirurgia , Neoplasias Encefálicas/diagnóstico por imagem , Neoplasias Encefálicas/patologia , Pré-Escolar , Feminino , Glioma/diagnóstico por imagem , Glioma/patologia , Proteínas da Matriz do Complexo de Golgi , Humanos , Proteínas de Membrana Transportadoras , Gradação de Tumores , Deleção de Sequência , Sobreviventes
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