Predictive Validity of Preclerkship Performance Metrics on USMLE Step 2 CK Outcomes in the Step 1 Pass/Fail Era

Area of Science:

• Medical Education
• Residency Admissions
• Standardized Testing

Background:

• USMLE Step 1 transitioning to pass/fail necessitates a re-evaluation of residency selection criteria.
• USMLE Step 2 CK scores are increasingly critical for medical student residency applications.
• Preclinical academic performance metrics require analysis for their predictive value in Step 2 CK outcomes.

Purpose of the Study:

• To evaluate the predictive power of preclinical academic metrics for USMLE Step 2 CK performance.
• To assist medical students in assessing their residency competitiveness based on early academic indicators.
• To provide insights for optimizing residency preparedness strategies.

Main Methods:

• Analysis of academic data from 58 medical students.
• Inclusion of MCAT scores, NBME-style Phase 1 exam performance, and CBSE scores as predictors.
• Utilized Pearson correlation coefficients and binary logistic regression to analyze relationships with Step 2 CK scores.

Main Results:

• MCAT scores showed moderate positive correlation with Step 2 CK (r=0.37, p=0.004).
• Phase 1 NBME exam performance demonstrated the strongest correlation (r=0.67, p<0.0001).
• CBSE scores also showed strong correlation (r=0.67, p<0.0001), but with less consistent predictive utility in logistic regression.

Conclusions:

• Preclinical NBME exam performance is the most significant predictor of Step 2 CK success.
• MCAT and CBSE scores provide supplementary predictive value for Step 2 CK outcomes.
• Findings emphasize the need for early academic guidance to enhance residency preparedness in the evolving USMLE framework.