Evidence map›Paper›PMID 31440335›Full record

ArticleJournal of graduate medical education2019

USMLE Step 2 CK: Best Predictor of Multimodal Performance in an Internal Medicine Residency.

Akshita Sharma, Daniel P Schauer, Matthew Kelleher, Benjamin Kinnear, Dana Sall, Eric Warm

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. A Generalizable Approach to Predicting Performance on USMLE Step 2 CK.Advances in medical education and practice · 2022
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  16. The Residency Match: Escaping the Prisoner's Dilemma.Journal of graduate medical education · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Akshita Sharma
Daniel P Schauer
Matthew Kelleher
Benjamin Kinnear
Dana Sall
Eric Warm

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternal medicine (IM) residency programs receive information about applicants via academic transcripts, but studies demonstrate wide variability in satisfaction with and usefulness of this information. In addition, many studies compare application materials to only 1 or 2 assessment metrics, usually standardized test scores and work-based observational faculty assessments.

objectiveWe sought to determine which application materials best predict performance across a broad array of residency assessment outcomes generated by standardized testing and a yearlong IM residency ambulatory long block.

methodsIn 2019, we analyzed available Electronic Residency Application Service data for 167 categorical IM residents, including advanced degree status, research experience, failures during medical school, undergraduate medical education award status, and United States Medical Licensing Examination (USMLE) scores. We compared these with post-match residency multimodal performance, including standardized test scores and faculty member, peer, allied health professional, and patient-level assessment measures.

resultsIn multivariate analyses, USMLE Step 2 Clinical Knowledge (CK) scores were most predictive of performance across all residency performance domains measured. Having an advanced degree was associated with higher patient-level assessments (eg, physician listens, physician explains, etc). USMLE Step 1 scores were associated with in-training examination scores only. None of the other measured application materials predicted performance.

conclusionsUSMLE Step 2 CK scores were the highest predictors of residency performance across a broad array of performance measurements generated by standardized testing and an IM residency ambulatory long block.

Indexed as

Internship and ResidencyClinical CompetenceEducational MeasurementEducation, Medical, GraduateHumansInternal MedicineLicensure, MedicalWork Performance

Identifiers

PMID31440335
PMCPMC6699543

What OpenQuestion holds

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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.