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Associations Between DAT, CBSE, and USMLE Step 1 Exams Among Oral and Maxillofacial Surgery Residents
Obadiah J Pirlo1, Felix J Amarista2, Daniel E Perez2
1University of Texas Health Science Center, San Antonio, Texas, USA.
Journal of Dental Education
|February 17, 2026
Summary
Dental Admission Test (DAT) scores correlate with Comprehensive Basic Science Examination (CBSE) performance, but not with United States Medical Licensing Examination (USMLE) Step 1 outcomes. The DAT may indicate early science readiness but doesn't predict USMLE Step 1 success.
Area of Science:
- Medical Education
- Dental Education
- Biomedical Sciences
Background:
- The Dental Admission Test (DAT), Comprehensive Basic Science Examination (CBSE), and United States Medical Licensing Examination (USMLE) Step 1 are critical assessments in dental and medical training.
- Understanding the relationships between these foundational exams is crucial for evaluating student preparedness and curriculum effectiveness.
Purpose of the Study:
- To investigate the associations between scores on the DAT (composite and subsections), CBSE, and USMLE Step 1 performance.
- To determine if DAT performance predicts success on subsequent medical licensing examinations.
Main Methods:
- A cross-sectional study utilized self-reported survey data from oral and maxillofacial surgery residents.
- Correlation analyses were performed on DAT, CBSE, and USMLE Step 1 scores, with standardized CBSE scores used.
- Twenty-seven responses from MD-granting programs met the inclusion criteria for analysis.
Main Results:
- Significant positive correlations were observed between DAT composite and subsection scores (Academic Average, Total Science, General Chemistry, Biology) and standardized CBSE scores (r = 0.40-0.60).
- No significant associations were found between DAT or CBSE scores and USMLE Step 1 performance (r = -0.10-0.20).
Conclusions:
- DAT scores are associated with CBSE performance, suggesting it reflects early medical science readiness.
- DAT performance does not appear to predict USMLE Step 1 outcomes, indicating a divergence in what these assessments measure.
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