PLoS ONE · 2014 · 14 citations · 9 references
MedicineInternal MedicineMedical EducationGeneral Internal MedicineResidency TrainingSurvival AnalysisApplicant EvaluationStudy SelectionCutoff PointsLikelihood RatiosNegative Predictive Value AssessmentPositive Predictive Value EstimationResidency Recruitment
BACKGROUND: Internal medicine fellowship programs have an incentive to select fellows who will ultimately publish. Whether an applicant's publication record predicts long term publishing remains unknown. METHODS: Using records of fellowship bound internal medicine residents, we analyzed whether publications at time of fellowship application predict publications more than 3 years (2 years into fellowship) and up to 7 years after fellowship match. We calculate the sensitivity, specificity, positive and negative predictive values and likelihood ratios for every cutoff number of application publications, and plot a receiver operator characteristic curve of this test. RESULTS: Of 307 fellowship bound residents, 126 (41%) published at least one article 3 to 7 years after matching, and 181 (59%) of residents do not publish in this time period. The area under the receiver operator characteristic curve is 0.59. No cutoff value for application publications possessed adequate test characteristics. CONCLUSION: The number of publications an applicant has at time of fellowship application is a poor predictor of who publishes in the long term. These findings do not validate the practice of using application publications as a tool for selecting fellows.
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Characteristics of Highly Ranked Applicants to General Surgery Residency Programs
Steven C. Stain, Jonathan R. Hiatt, Ashar Ata et al. · JAMA Surgery · 2013 · 81 citations
Medicine, Surgery, General Surgery +12