Evidence map›Paper›PMID 30386480›Full record

ArticleJournal of graduate medical education2018

Association Between Performance on COMLEX-USA and the American College of Osteopathic Family Physicians In-Service Examination.

Kimberly M Hudson, Gail Feinberg, Laura Hempstead, Christopher Zipp, John R Gimpel, Yi Wang

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Establishing the Validity of Licensing Examination Scores.Journal of graduate medical education · 2019
    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

6 authors.

Kimberly M Hudson
Gail Feinberg
Laura Hempstead
Christopher Zipp
John R Gimpel
Yi Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe primary goal of residency programs is to select and educate qualified candidates to become competent physicians. Program directors often use performance on licensure examinations to evaluate the ability of candidates during the resident application process. The American College of Osteopathic Family Physicians (ACOFP) administers an in-service examination (ISE) to residents annually. There are few prior studies of the relationship between the Comprehensive Osteopathic Medical Licensing Examination of the United States of America (COMLEX-USA) series and formative assessments of residents in training.

objectiveWe explored the relationship between performance on COMLEX-USA and the ACOFP in-service examination to offer support on the use of licensing examinations in resident selection.

methodsIn 2016, performance data from the COMLEX-USA and the ISE were matched for 3 resident cohorts (2011-2013, inclusive; N = 1384). Correlations were calculated to examine the relationship between COMLEX-USA and ISE scores. Multiple linear regression models were used to determine if performance on COMLEX-USA significantly predicted third-year ISE (ISE-3) scores.

resultsFindings indicated that correlations among performance on COMLEX-USA and ISE were statistically significant (all

conclusionsThe results support using COMLEX-USA as a part of resident selection in family medicine. Additionally, program directors may use performance on COMLEX-USA to predict success on the ISE-3.

Indexed as

Clinical CompetenceLicensure, MedicalEducational MeasurementFamily PracticeHumansInternship and ResidencyOsteopathic MedicineOsteopathic PhysiciansUnited States

Identifiers

PMID30386480
PMCPMC6194890

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.