Background: Promoting minorities within medical specialties has been postulated to be crucial to patient care and recruitment of diverse candidates. This concept has been suspected but not formally studied in the minority of women faculty and trainees in neurosurgery. We aimed to quantitatively investigate the postulated correlation relative to female representation in neurosurgery.
Methods: Data obtained from accredited neurosurgery residency programs were reviewed. Data describing the percentage of female residents and 6 demographic and 14 program-specific variables were collected. All program websites were reviewed to assess percentages of female faculty and visible commitment to diversity in applicants, evident through communicated policies, statements, or initiatives. Included programs were defined as "low" or "high" percentage of female residents or faculty relative to the grouped median value for both categories; groups were assessed for significant differences. Percentages of female faculty and residents and program-communicated diversity initiatives were investigated for significant correlation.
Results: Female faculty and diversity data were available at 117 program sites; 81 programs reported female resident percentages. Analysis revealed a significant positive correlation between female faculty and female resident percentages. Programs with higher female resident percentages had higher levels of diversity in terms of race and ethnicity. No significant correlation was found between the percentage of female faculty or residents and a communicated diversity initiative.
Conclusions: This study of current female representation in neurosurgery revealed a previously undocumented positive correlation between percentages of female faculty and female trainees. These data suggest a modifiable barrier to female entry into neurosurgical residency programs.
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http://dx.doi.org/10.1016/j.wneu.2024.06.145 | DOI Listing |
Sci Rep
December 2024
School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NZ, UK.
Worldwide museums hold collections of eggshells representing material for descriptive studies. However, an obstacle to this is the lack of information about the original contents and weight of the entire egg (W). This study aimed to fill this gap though development of a methodological mechanism for calculating the volume of the egg interior (V), its density (D) and W.
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December 2024
Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, China.
Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Riad El-Solh, PO Box 11-0236, 1107 2020, Beirut, Lebanon.
Fatigue is one of the most prevalent and disabling symptoms among patients with MS, but there is limited research investigating the longitudinal determinants of fatigue progression. This study aims to identify the sociodemographic, behavioral and clinical characteristics, and therapeutic regimens that are correlated with worsening fatigue over time in patients diagnosed with MS. This is a retrospective chart review of 483 patients.
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December 2024
Department of Orthopedic Surgery, Arthroscopy and Joint Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
The humeral head is the second most common anatomical site of osteonecrosis after the femoral head. Studies have reported satisfactory clinical outcomes after shoulder arthroplasty to treat osteonecrosis of the humeral head (ONHH). However, there are concerns regarding implant longevity in relatively young patients.
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