Evidence map›Paper›PMID 34584812›Full record

ArticleCureus2021

Predicting United States Medical Licensing Examination Step 2 Clinical Knowledge Scores from Previous Academic Performance Measures within a Longitudinal Interleaved Curriculum.

Rachel A Kracaw, Wynona Dizon, Sabrina Antonio, Edward Simanton

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Impact of a USMLE Step 2 Prediction Model on Medical Student Motivations.Journal of medical education and curricular development
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rachel A KracawMedical Education, University of Nevada, Las Vegas School of Medicine, Las Vegas, USA.
Wynona DizonMedical Education, University of Nevada, Las Vegas School of Medicine, Las Vegas, USA.
Sabrina AntonioMedical Education, University of Nevada, Las Vegas School of Medicine, Las Vegas, USA.
Edward SimantonMedical Education, University of Nevada, Las Vegas School of Medicine, Las Vegas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background United States Medical Licensing Examination (USMLE) Step 1 is a common metric looked at by residency programs to determine invitations for candidates to interview. However, USMLE Step 2 Clinical Knowledge (CK) has also been an important factor for selecting applicants to interview and plays a significant role during applicant selection. This study aims to identify academic performance measures that correlate with USMLE Step 2 CK scores and to develop a model to predict USMLE Step 2 CK scores using previous academic measures from the first two cohorts in the longitudinal interleaved clerkship (LInC) at the Kirk Kerkorian School of Medicine at the University of Nevada, Las Vegas (KSOM). Setting The KSOM is a newly accredited US allopathic medical school that accepted its first class in 2017. At KSOM, a LInC model is used in the primary clinical year. In this model, rotations are two weeks in duration before moving on to the next specialty. Students complete the National Board of Medical Examiners (NBME) subject examinations in all six specialties in one week at the midpoint and the end of the LInC. Students who passed an exam at the midpoint can opt out of that exam at the end as the higher of the two exam scores is recorded. However, most students choose to take all the exams again to improve their scores and prepare for USMLE Step 2 CK. Methodology Academic performance measures were gathered from the class of 2021 and 2022 (n = 101) including undergraduate grade point average (GPA), undergraduate science GPA, medical college admission test score, USMLE Step 1 score, NBME clinical subject exam scores, and USMLE Step 2 CK scores. Pearson correlations were run between the performance variables and USMLE Step 2 CK scores to measure influence variables individually, then a regression model measured impacts of variables together. Results All variables except undergraduate science GPA significantly correlated with USMLE Step 2 CK score. USMLE Step 1 had the strongest correlation (r = 0.752, p < 0.001). The regression model had an R of 0.859 with the internal medicine subject exam showing the highest beta coefficient (0.327, p < 0.001). Conclusions This study determined that USMLE Step 2 CK scores can be effectively predicted using available performance measures. With USMLE Step 1 becoming pass/fail in January 2022, the importance of USMLE Step 2 CK as a screening tool in the residency application process will likely increase. This study was conducted within a LInC curriculum and may have limited value in the prediction of scores within other clinical year curricula.

Indexed as

pass/fail usmle step 1predicting usmle step 2prediction modelusmle step 2usmle step 2 correlations

Identifiers

PMID34584812
PMCPMC8457316

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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.