The Action Potential of an Applicant: A Seven-Year Study of Clinical Cardiac Electrophysiology Fellowship Match Outcomes
Balda, S. E.; Panchana-Lascano, M.; Diaz-Djevoich, I.; Kronfle-Cordovez, R.; Minchalo-Ochoa, G.; Leone-Berry, T.
Show abstract
BackgroundClinical Cardiac Electrophysiology (CCEP) is a critical subspecialty; however, comprehensive information on fellowship match data remains limited. This study analyzes the CCEP fellowship match from 2019 to 2025 to provide insight into applicant trends, academic backgrounds, and match outcomes. MethodsA retrospective cohort study was conducted using data from the National Resident Matching Program from 2019 to 2025. The analyzed variables included applicant volume, available positions and programs, match rates, and applicants academic backgrounds. Statistical analyses included descriptive statistics, chi-square, and Pearson correlation with p-value of <0.05 was considered statistically significant. ResultsOver the study period, data were collected from 980 applicants and 953 available positions, of which 867 were filled (91% match rate). The academic backgrounds of matched applicants were 48% U.S. MD, 29% Non-U.S. IMG, and 13% U.S. IMG. Most applicants (77%) matched within their top three program choices. Significant trend changes included a 99% increase in applicants (p<.001) and a 93% decrease in unfilled programs (p<.001). Unfilled positions showed strong negative correlations with being among applicants top three choices (r=-0.952, p<.001) and with having a higher number of U.S. MD applicants (r=-0.885, p=0.008). Matching into a first-choice program was significantly correlated with being a U.S. IMG (r=0.809, p=0.028) or a Non-U.S. IMG (r=0.871, p=0.011). ConclusionThe CCEP fellowship match has increased in applicant volume and improved match rates over time. Successful matches are linked to popularity among applicants, particularly U.S. MDs, while IMGs show a positive correlation with matching into their first-choice programs.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Making the Match or Breaking it? Values, Perceptions, and Obstacles of Trainees Applying into Physician-Scientist Training Programs 95%
- Medical student residency preferences and motivational factors: a longitudinal, single-institution perspective 95%
- Evaluation of Statistical Illiteracy in Latin American Clinicians and of the Efficacy of a 10-Hour Course 94%
Similar papers in this journal
- Introducing the 4Ps Model of Transitioning to Distance Learning: a convergent mixed methods study conducted during the COVID-19 pandemic 94%
- Citizenship status and career self-efficacy: An intersectional study of biomedical trainees in the United States 94%
- A national professional development program fills mentoring gaps for postdoctoral researchers 94%
Similar papers in this journal
- The PBL teaching method in Neurology Education in the Traditional Chinese Medicine undergraduate students: An Observational Study 92%
- Open Science Practices Among Authors Published in Complementary, Alternative, and Integrative Medicine Journals: An International, Cross-Sectional Survey 91%
- Demographic and Clinical Characteristics of Pediatric COVID-19 in Arkansas: March-December 2020 89%
Similar papers in this journal
Similar papers in this journal
- Rapid Clinical Screening and Staging for COVID-19 Severe Outcome A Hospitalization Study in New York City 93%
- Prevalence and Predictors of Depression among Training Physicians in China: A Comparison to the United States 92%
- Dystrophin and calcium current are decreased in cardiomyocytes expressing Cre enzyme driven by αMHC but not TNT promoter 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.