Evidence map›Paper›PMID 36741938›Full record

ArticleAdvances in medical education and practice2023

Student Performance on Course Objectives in a First-Year Medical School Foundational Science Course Correlate with USMLE Step 1 Scores.

Rhea E Mathew, Molly Riehs, Anna V Blenda, Renee J Chosed, William S Wright

Open access · goldAbstract read
In one paragraph

Article in Advances in medical education and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Rhea E MathewSchool of Medicine, University of South Carolina School of Medicine Greenville, Greenville, SC, USA.
Molly RiehsSchool of Medicine, University of South Carolina School of Medicine Greenville, Greenville, SC, USA.
Anna V BlendaDepartment of Biomedical Sciences; University of South Carolina School of Medicine Greenville, Greenville, SC, USA.
Renee J ChosedDepartment of Biomedical Sciences; University of South Carolina School of Medicine Greenville, Greenville, SC, USA.ORCID 0000-0002-0442-0833
William S WrightDepartment of Biomedical Sciences; University of South Carolina School of Medicine Greenville, Greenville, SC, USA.ORCID 0000-0002-8460-5204
University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early identification of students at risk for poor United States Medical Licensing Examination Methods: This was a retrospective cohort study analyzing data for students matriculating to the University of South Carolina School of Medicine Greenville in 2018 and 2019. Linear regression analysis was conducted to assess the correlation between pre-matriculation metrics, performance in the FDNS course, performance on FDNS objectives, and USMLE Step 1 performance. Adjusted R-squared (adjusted r Results: The FDNS course grade correlated with pre-matriculation metrics of science undergraduate grade point average (uGPA), total uGPA, and the Medical College Admission Test (MCAT), adjusted r Conclusion: The FDNS course grade and performance on specific course objectives could serve as a predictor for USMLE Step 1 performance and provides a more targeted and concise approach to identification of low-performing students and subsequent intervention.

Indexed as

course modificationscourse objectivesmedical school curriculummedical school performanceUSMLE step 1

Identifiers

PMID36741938
PMCPMC9891064
OpenAlexW4319294886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.