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Daniel Lubelski, Andrew T. Healy, Alan Friedman, Dyan Ferraris, Edward C. Benzel and Richard Schlenk

, although these factors have been used historically as selection criteria, it is unclear whether they predict success as a neurosurgical resident. Al Khalili et al. 1 surveyed neurosurgery residency directors and found that the most important factors used in the selection process are interviews, USMLE scores, and LOR. However, based on multivariate analysis, the authors found that the predictors of long-term satisfaction with resident selection were placing less emphasis on LOR and placing greater emphasis on applicant extramural activity. Although this result may be

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Susan R. Durham, Katelyn Donaldson, M. Sean Grady and Deborah L. Benzil

important. Studies addressing gender bias during residency application in other medical subspecialties have found no clear evidence of gender bias in resident selection. 5 , 11 , 15 To date, there are no published studies on specific applicant characteristics, including gender, that are associated with match outcome among neurosurgery resident applicants. The purpose of this study is to determine which characteristics of neurosurgery residency applicants, including gender, are associated with a successful match outcome. Methods Study Population This study was approved by

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Hari S. Raman, David D. Limbrick Jr., Wilson Z. Ray, Dean W. Coble, Sophie Church, Ralph G. Dacey Jr. and Gregory J. Zipfel

that those who demonstrate performance deficiencies are properly identified and supported so as to ensure successful training. Unfortunately, a dearth of data regarding the use and effectiveness of specific remediation strategies within neurosurgery exist, representing a significant unmet need. Beyond remediation, other strategies for addressing the issue of problem residents are beginning to be explored, including the use of resident selection processes that step outside traditional metrics (e.g., use of personality assessments) to more accurately identify

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Bryan A. Lieber, Taylor A. Wilson, Randy S. Bell, William W. Ashley Jr., Daniel L. Barrow and Stacey Quintero Wolfe

: Results of the 2013 NRMP Applicant Survey by Preferred Specialty and Applicant Type Washington, DC , National Resident Matching Program , 2013 8 Ponce BA , Determann JR , Boohaker HA , Sheppard E , McGwin G Jr , Theiss S : Social networking profiles and professionalism issues in residency applicants: an original studycohort study . J Surg Educ 70 : 502 – 507 , 2013 9 Shah SK , Arora S , Skipper B , Kalishman S , Timm TC , Smith AY : Randomized evaluation of a web based interview process for urology resident selection

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Hamed Azarnoush, Samaneh Siar, Robin Sawaya, Gmaan Al Zhrani, Alexander Winkler-Schwartz, Fahad Eid Alotaibi, Abdulgadir Bugdadi, Khalid Bajunaid, Ibrahim Marwa, Abdulrahman Jafar Sabbagh and Rolando F. Del Maestro

simulators may be used to augment neurosurgical training and resident selection. 3 , 15 , 26 Although this study focused on only one metric, the force pyramid, without the ability to use the information that simulators such as NeuroVR can provide to enhance resident operating room performance, their use will be limited. As with any other training and/or assessment tool, rigorous efforts are necessary to provide evidence for validation and effectiveness of a virtual reality system over traditional educational methods. 3 , 14 , 15 Conclusions Force pyramids derived from

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New Orleans, LA • April 29–May 2, 2018

score does not predict future pass rates of the ABNS oral board. (3) A career in academic neurosurgery is associated with higher USMLE Step 1 scores. These findings indicate that USMLE Step 1 score provides minimal predictive value of a person’s career following neurosurgery residency. This highlights the need for further refinement of the current neurosurgery resident selection process. 416. Functional restoration of social encoding and behavior in an autism mouse model Daniel Lee (Boston, MA); Gabriel Friedman; Firas Bounni, MD; Ziv Williams, MD Introduction: Autism