Evidence map›Paper›PMID 41802349›Full record

ArticleKorean journal of medical education2026

The National Medical Admission Test and medical student selection: rethinking cutoff validity and fairness.

Godofreda Ruiz Vergeire-Dalmacion, Erlyn Aclan Sana, Fernando Barroga Garcia, Aiza Lucero Dilidili, Diosdado Mayores San Antonio, Emmanuel Saporna Baja

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Article in Korean journal of medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Godofreda Ruiz Vergeire-DalmacionDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines Manila, Manila, Philippines.
Erlyn Aclan SanaDepartment of Office of Research and Development, National Teacher Training Centre for the Health Profession, University of the Philippines Manila, Manila, Philippines.
Fernando Barroga GarciaDepartment of Health Policy and Administration, College of Public Health, University of the Philippines Manila, Manila, Philippines.
Aiza Lucero DilidiliResearch and Statistics Division, Professional Regulation Commission, Manila, Philippines.
Diosdado Mayores San AntonioSEAMEO Regional Center for Educational Innovations and Technology, Quezon City, Philippines.
Emmanuel Saporna BajaDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines Manila, Manila, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Commission on Higher Education of the Philippines mandates a minimum National Medical Admission Test (NMAT) percentile rank-typically the 40th percentile-for medical school admission. However, percentile rank is cohort-dependent and varies in meaning across testing years. This study re-examined its validity as an admissions criterion and evaluated whether the NMAT General Performance Score (GPS), a standardized z-score, offers a more stable and valid basis for predicting academic performance.

methodsWe conducted a retrospective analysis of 42,261 first-time Physician Licensure Examination (PLE) takers from 2012 to 2022. NMAT and PLE records were linked, and logistic regression models were used to assess associations between NMAT scores and PLE outcomes. Predictive performance was evaluated using both receiver operating characteristic (ROC-Youden) and Precision-Recall (PR-F1) analyses to identify optimal cutoffs.

resultsPercentile ranks exhibited substantial year-to-year variability, with the same percentile corresponding to different GPS scores. A pooled GPS-to-percentile crosswalk is provided for interpretive reference but does not indicate fixed rank equivalence. In contrast, PR-F1 analysis of GPS appropriate for an imbalanced dataset showed consistent predictive validity (area under the ROC curve=0.918). The ROC-Youden index identified a cutoff at GPS=581, while the F1-optimized threshold was lower (GPS=377), favoring inclusivity. A midpoint cutoff (GPS=435) balanced stringency and access.

conclusionThe NMAT GPS is a more stable and equitable predictor of licensure performance than percentile rank. Its use may improve the fairness and consistency of medical school admissions and better align selection with long-term academic outcomes.

Indexed as

College Admission TestEducational MeasurementSchool Admission CriteriaSchools, MedicalStudents, MedicalAcademic PerformanceHumansLicensure, MedicalLogistic ModelsPhilippinesReproducibility of ResultsRetrospective StudiesROC CurveAdmission testsLogistic regressionMedical educationPredictive value of testsROC curve

Identifiers

PMID41802349
PMCPMC12971137

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.