Evidence map›Paper›PMID 42205642›Full record

ArticleCureus2026

Dermatology Match Trends From 2022-2025 Using the Texas Seeking Transparency in Application to Residency Database.

Aya Salem, Adam Ali, Layla Ali, Hannah Wolfson, Ahmed Salem, Sydney Hou, Angela Mihalic, Michael S Wong

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aya SalemMedicine, California Northstate University College of Medicine, Elk Grove, USA.
Adam AliMedicine, California Northstate University College of Medicine, Elk Grove, USA.
Layla AliMedicine, California Northstate University College of Medicine, Elk Grove, USA.
Hannah WolfsonMedicine, California Northstate University College of Medicine, Elk Grove, USA.
Ahmed SalemOtolaryngology, California Northstate University College of Medicine, Elk Grove, USA.
Sydney HouMedicine, California Northstate University College of Medicine, Elk Grove, USA.
Angela MihalicPediatrics, University of Texas Southwestern Medical Center, Dallas, USA.
Michael S WongSurgery/Plastic Surgery, California Northstate University College of Medicine, Elk Grove, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDermatology is one of the most competitive residency specialties in the United States. In 2022, the United States Medical Licensing Examination (USMLE) Step 1 transitioned from numerical scoring to pass/fail. Additional changes, including preference signaling and interview caps, were introduced during this period. This study analyzes dermatology residency application trends from 2022-2025 using the Texas Seeking Transparency in Application to Residency (STAR) database.

methodsA retrospective database analysis was conducted using the Texas STAR dataset, a national, multi-institutional repository of self-reported residency application metrics. Dermatology applicants from participating U.S. medical schools between 2018 and 2025 were included, with particular focus on the 2022-2025 application cycles surrounding the transition of the USMLE Step 1 to pass/fail scoring. Applicant characteristics were analyzed across multiple domains, including the number of programs applied to, USMLE Step 2 Clinical Knowledge (CK) scores, research experiences, peer-reviewed publications, leadership activities, clerkship honors, and participation in a dedicated research year. Descriptive statistics were used to summarize these variables. Comparisons across application cycles were performed to assess changes over time. Continuous variables were analyzed using Wilcoxon rank-sum tests, while categorical variables were compared using chi-square tests. Statistical significance was defined as a p-value less than 0.05.

resultsApplications per applicant declined substantially after 2023, with mean applications decreasing from approximately 82 in 2022-2023 to 45 in 2024 and 29 in 2025 (p < 0.01). Step 2 CK scores remained stable across all cycles with no significant differences (p = 0.62). Research productivity showed a modest decline following 2023. Mean peer-reviewed publications decreased from 7.77 in 2023 to 5.55 in 2024 (p < 0.01), and leadership experiences declined from 5.57 to 3.69 during the same period (p < 0.01). Research year participation remained stable across cycles (p = 0.76). Clerkship honors showed no significant differences between years (p = 0.52).

conclusionRecent dermatology applicants appear to be submitting fewer applications and reporting fewer research and leadership experiences while maintaining stable academic performance. These trends likely reflect structural changes in the residency application process, including preference signaling and efforts to reduce application inflation following the Step 1 pass/fail transition. Despite these shifts, core academic metrics such as Step 2 CK scores and clerkship honors remain consistent, suggesting continued emphasis on academic performance in dermatology residency selection.

Indexed as

dermatologymatch trendsnrmpstep 2texas star database

Identifiers

PMID42205642
PMCPMC13208424

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LicenceCC BY
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Registered trials

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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.