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Record W4417166900 · doi:10.1093/jsxmed/qdaf320.419

(425) Assessment of Obstructive Sleep Apnea Risk and Primary Care Involvement in a Men’s Health Clinic Population

2025· article· en· W4417166900 on OpenAlexaffabout
Jay Shah, Harpreet S. Dhillon, Avinash Sarcar, Maximilian Fidel, Carla Roque, Young Hyeh Ko, Kristin Reynolds, Saeed Marzban, Pragnesh Patel

Bibliographic record

VenueThe Journal of Sexual Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsManitoba HealthUniversity of Manitoba
Fundersnot available
KeywordsObstructive sleep apneaPrimary carePopulationSleep apneaAmbulatoryDescriptive statisticsRisk assessmentHealth care

Abstract

fetched live from OpenAlex

Abstract Introduction Obstructive Sleep Apnea (OSA) is a prevalent condition affecting up to 38% of the general population, with higher rates observed among men and older individuals. Despite its association with significant cardiometabolic morbidity, OSA remains underdiagnosed, particularly in populations with limited access to primary care. In recent years, men’s health clinics have emerged as potential access points for addressing broader health concerns beyond urologic complaints. Emerging evidence suggests that individuals presenting to these clinics may be at increased risk for OSA, both diagnosed and undiagnosed. Objective This study aims to evaluate the prevalence of OSA risk factors among men attending a dedicated men’s health clinic and to assess opportunities for targeted screening and referral. Methods Starting in September 2024, all men aged 18 and older presenting to a Canadian ambulatory men’s health clinic were invited to anonymously complete a survey at check-in. The survey gathered data on age, BMI, comorbidities, STOP-BANG questionnaire responses, and primary care provider (PCP) status. Collected responses were analyzed using descriptive statistics to stratify participants by OSA risk level and assess their prior engagement with a PCP regarding OSA-related concerns, when applicable. Results Among 59 men who have completed the survey, the average age was 59.5 years. Based on STOP-BANG scores, 35.6% (n = 21) were classified as low risk for OSA (score 0–2), 47.4% (n = 28) as moderate risk (score 3–4), and 16.9% (n = 10) as high risk (score ≥5). Among all participants, five reported a prior diagnosis of OSA-two in the moderate-risk group and three in the high-risk group. While all individuals in the moderate and high-risk categories reported having a family physician, only 18.6% (n = 11) had discussed OSA with their primary care provider. Conclusions Our findings demonstrate that a substantial proportion of men attending the Canadian men’s health clinic are at moderate to high risk for Obstructive Sleep Apnea (OSA), yet many have not engaged in discussions about OSA with their primary care providers. Notably, a considerable number of at-risk individuals reported having a family physician, suggesting that OSA remains undiagnosed and undertreated despite access to primary care. This highlights a critical gap in screening and awareness within this population. Incorporating routine OSA risk assessments into men’s health clinic workflows may represent an effective strategy to enhance early identification, facilitate timely referral, and improve long-term outcomes through earlier intervention and management. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Boston Scientific

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.382
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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