Evidence map›Paper›PMID 31840080›Full record

ArticleJournal of medical education and curricular development

Are Standardized Letters of Recommendation in Residency Applications Correlated With Objective Data?

Alice L Tang, Javier J M Howard, Eshita Singh, Meredith E Tabangin, James C Wang, Charles M Myer, Mekibib Altaye, Sarah L Rohde

Abstract read
In one paragraph

Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Linguistic Biases in Letters of Recommendation for Radiation Oncology Residency Applicants from 2015 to 2019.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    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

8 authors.

Alice L TangDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Javier J M HowardDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Eshita SinghDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0003-0033-736X
Meredith E TabanginDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
James C WangDepartment of Otolaryngology-Head and Neck Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Charles M MyerDepartment of Otolaryngology-Head and Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati OH, USA.
Mekibib AltayeDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Sarah L RohdeDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate whether the standardized letter of recommendation (SLOR), commonly used for medical students applying to otolaryngology residency, correlates with objective data in the application.

backgroundStandardized letters of recommendation using Likert-type scales for different attributes are commonly used by evaluators because of their high interrater reliability and efficiency in preparation and interpretation. Given that these are subjectively scored, it is unknown how well these correlate with objective data.

methodsApplications to the University of Cincinnati otolaryngology residency were evaluated in the academic cycle of 2017-2018. Standardized letters of recommendation were scored to determine whether certain attributes were correlated with objective data (United States Medical Licensing Examination [USMLE] scores and number of presentations/publications) provided in their application. Spearman correlations were used to evaluate the strength of the relationship between the subjective score in certain attributes with objective data.

resultsThere were 217 applications to the University of Cincinnati that contained SLORs. Of these applications, 474 standardized letters were scored in categories of medical knowledge, research, and commitment to academic medicine. Total publications and presentations were weakly correlated with commitment to academic medicine (0.35,

conclusionsSubjective research and commitment to academic medicine rating scores were weakly correlated with greater academic productivity. Similarly, medical knowledge scores were weakly correlated with Step 1/2 scores. Further research may be needed to assess how to interpret SLOR scores in addition to the information available in an otolaryngology application. LEVEL OF EVIDENCE: 4.

Indexed as

LORotolaryngology residencyStandardized letters of recommendations

Identifiers

PMID31840080
PMCPMC6902389

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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.