Evidence map›Paper›PMID 42494511›Full record

ReviewAnnals of thoracic medicine

Analysis of the training pathway in sleep medicine: Training capacity versus demand in the United States.

Jason Silvestre, Robert J Ferdon, Andrea M Rinn, Robert A Ravinsky

Abstract readReview
In one paragraph

Review in Annals of thoracic medicine. 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

4 authors.

Jason SilvestreMedical University of South Carolina, Charleston, SC, USA.
Robert J FerdonMedical University of South Carolina, Charleston, SC, USA.
Andrea M RinnMedical University of South Carolina, Charleston, SC, USA.
Robert A RavinskyMedical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have described an emerging deficiency of sleep medicine physicians in the United States (US). This study defines the training pipeline for sleep medicine physicians, including the annual number of applicants, training positions, and unfilled training positions. This was a cross-sectional analysis of all applicants for sleep medicine fellowship training in the US from 2012 to 2025. Annual match outcomes were calculated and trends analyzed with linear regression. From 2012 to 2025, growth in the annual number of applicants (103-249, 142% increase, P < 0.001) exceeded growth in the number of training positions (99-218, 120% increase, P < 0.001) for sleep medicine fellowship training. Accordingly, the annual applicant-to-training position ratio increased (1.04-1.14, P = 0.003) and the annual rate of unfilled training positions decreased (12.1% to 5.0%, P = 0.004) over the study period. The annual representation of US allopathic medical school graduates increased among incoming sleep medicine fellows (31.0% to 41.1%) while the annual representation of non-US allopathic medical school graduates decreased (69.0% to 58.9%), although this trend was not significant (P = 0.056). Match rates for US allopathic medical school graduates exceeded those for non-US allopathic medical school graduates (93.1% vs. 85.8%, P < 0.001). Growth in applicants for sleep medicine fellowship training has exceeded growth in training capacity, resulting in an increasing annual applicant-to-training position ratio. While interest appears to be increasing, surveillance of future match outcomes is warranted given anticipated deficiencies in the sleep medicine physician workforce.

Indexed as

Fellowshipmatchphysicianshortagesleepworkforce

Identifiers

PMID42494511
PMCPMC13395225

What OpenQuestion holds

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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.