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Nomogram to predict successful placement in surgical subspecialty fellowships using applicant characteristics
Tyler M Muffly1, Matthew D Barber, Matthew T Karafa
1Center for Urogynecology and Pelvic Reconstructive Surgery, Obstetrics, Gynecology and Women's Health Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA. mufflyt@ccf.org
Purpose:
The purpose of the study was to develop a model that predicts an individual applicant's probability of successful placement into a surgical subspecialty fellowship program.
Methods:
Candidates who applied to surgical fellowships during a 3-year period were identified in a set of databases that included the electronic application materials.
Results:
Of the 1281 applicants who were available for analysis, 951 applicants (74%) successfully placed into a colon and rectal surgery, thoracic surgery, vascular surgery, or pediatric surgery fellowship. The optimal final prediction model, which was based on a logistic regression, included 14 variables. This model, with a c statistic of 0.74, allowed for the determination of a useful estimate of the probability of placement for an individual candidate.
Conclusions:
Of the factors that are available at the time of fellowship application, 14 were used to predict accurately the proportion of applicants who will successfully gain a fellowship position.
