John J. Y. Zhang and Keng Siang Lee
Uma V. Mahajan, Harsh Wadhwa, Parastou Fatemi, Samantha Xu, Judy Shan, Deborah L. Benzil, and Corinna C. Zygourakis
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.
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.
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).
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.
Harsh Wadhwa, Sumedh S. Shah, Judy Shan, Justin Cheng, Angad S. Beniwal, Jia-Shu Chen, Sabraj A. Gill, Nikhil Mummaneni, Michael W. McDermott, Mitchel S. Berger, and Manish K. Aghi
Neurosurgery is consistently one of the most competitive specialties for resident applicants. The emphasis on research in neurosurgery has led to an increasing number of publications by applicants seeking a successful residency match. The authors sought to produce a comprehensive analysis of research produced by neurosurgical applicants and to establish baseline data of neurosurgery applicant research productivity given the increased emphasis on research output for successful residency match.
A retrospective review of publication volume for all neurosurgery interns in 2009, 2011, 2014, 2016, and 2018 was performed using PubMed and Google Scholar. Missing data rates were 11% (2009), 9% (2011), and < 5% (all others). The National Resident Matching Program report “Charting Outcomes in the Match” (ChOM) was interrogated for total research products (i.e., abstracts, presentations, and publications). The publication rates of interns at top 40 programs, students from top 20 medical schools, MD/PhD applicants, and applicants based on location of residency program and medical school were compared statistically against all others.
Total publications per neurosurgery intern (mean ± SD) based on PubMed and Google Scholar were 5.5 ± 0.6 in 2018 (1.7 ± 0.3, 2009; 2.1 ± 0.3, 2011; 2.6 ± 0.4, 2014; 3.8 ± 0.4, 2016), compared to 18.3 research products based on ChOM. In 2018, the mean numbers of publications were as follows: neurosurgery-specific publications per intern, 4.3 ± 0.6; first/last author publications, 2.1 ± 0.3; neurosurgical first/last author publications, 1.6 ± 0.2; basic science publications, 1.5 ± 0.2; and clinical research publications, 4.0 ± 0.5. Mean publication numbers among interns at top 40 programs were significantly higher than those of all other programs in every category (p < 0.001). Except for mean number of basic science publications (p = 0.1), the mean number of publications was higher for interns who attended a top 20 medical school than for those who did not (p < 0.05). Applicants with PhD degrees produced statistically more research in all categories (p < 0.05) except neurosurgery-specific (p = 0.07) and clinical research (p = 0.3). While there was no statistical difference in publication volume based on the geographical location of the residency program, students from medical schools in the Western US produced more research than all other regions (p < 0.01). Finally, research productivity did not correlate with likelihood of medical students staying at their home institution for residency.
The authors found that the temporal trend toward increased total research products over time in neurosurgery applicants was driven mostly by increased nonindexed research (abstracts, presentations, chapters) rather than by increased peer-reviewed publications. While we also identified applicant-specific factors (MD/PhDs and applicants from the Western US) and an outcome (matching at research-focused institutions) associated with increased applicant publications, further work will be needed to determine the emphasis that programs and applicants will need to place on these publications.
Ankush Chandra, Jacob S. Young, Cecilia Dalle Ore, Fara Dayani, Darryl Lau, Harsh Wadhwa, Jonathan W. Rick, Alan T. Nguyen, Michael W. McDermott, Mitchel S. Berger, and Manish K. Aghi
Glioblastoma (GBM) carries a high economic burden for patients and caregivers, much of which is associated with initial surgery. The authors investigated the impact of insurance status on the inpatient hospital costs of surgery for patients with GBM.
The authors conducted a retrospective review of patients with GBM (2010–2015) undergoing their first resection at the University of California, San Francisco, and corresponding inpatient hospital costs.
Of 227 patients with GBM (median age 62 years, 37.9% females), 31 (13.7%) had Medicaid, 94 (41.4%) had Medicare, and 102 (44.9%) had private insurance. Medicaid patients had 30% higher overall hospital costs for surgery compared to non-Medicaid patients ($50,285 vs $38,779, p = 0.01). Medicaid patients had higher intensive care unit (ICU; p < 0.01), operating room (p < 0.03), imaging (p < 0.001), room and board (p < 0001), and pharmacy (p < 0.02) costs versus non-Medicaid patients. Medicaid patients had significantly longer overall and ICU lengths of stay (6.9 and 2.6 days) versus Medicare (4.0 and 1.5 days) and privately insured patients (3.9 and 1.8 days, p < 0.01). Medicaid patients had similar comorbidity rates to Medicare patients (67.8% vs 68.1%), and both groups had higher comorbidity rates than privately insured patients (37.3%, p < 0.0001). Only 67.7% of Medicaid patients had primary care providers (PCPs) versus 91.5% of Medicare and 86.3% of privately insured patients (p = 0.009) at the time of presentation. Tumor diameter at diagnosis was largest for Medicaid (4.7 cm) versus Medicare (4.1 cm) and privately insured patients (4.2 cm, p = 0.03). Preoperative (70 vs 90, p = 0.02) and postoperative (80 vs 90, p = 0.03) Karnofsky Performance Scale (KPS) scores were lowest for Medicaid versus non-Medicaid patients, while in subgroup analysis, postoperative KPS score was lowest for Medicaid patients (80, vs 90 for Medicare and 90 for private insurance; p = 0.03). Medicaid patients had significantly shorter median overall survival (10.7 months vs 12.8 months for Medicare and 15.8 months for private insurance; p = 0.02). Quality-adjusted life year (QALY) scores were 0.66 and 1.05 for Medicaid and non-Medicaid patients, respectively (p = 0.036). The incremental cost per QALY was $29,963 lower for the non-Medicaid cohort.
Patients with GBMs and Medicaid have higher surgical costs, longer lengths of stay, poorer survival, and lower QALY scores. This study indicates that these patients lack PCPs, have more comorbidities, and present later in the disease course with larger tumors; these factors may drive the poorer postoperative function and greater consumption of hospital resources that were identified. Given limited resources and rising healthcare costs, factors such as access to PCPs, equitable adjuvant therapy, and early screening/diagnosis of disease need to be improved in order to improve prognosis and reduce hospital costs for patients with GBM.