Evidence map›Paper›PMID 42548392›Full record

ArticleCHEST pulmonary2026

Incidence, Characteristics, and Management Pathways of Obstructive Sleep Apnea in England: A 10-Year Retrospective Cohort Study.

Asad Ali, Melike Deger, Ankit Ghildiyal, Naomi Alpert, Fatemeh Saberi Hosnijeh, Stephen Boult

Abstract read
In one paragraph

Article in CHEST pulmonary, 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

6 authors.

Asad AliUniversity Hospital Coventry & Warwickshire NHS Trust, Coventry, England.
Melike DegerResMed Science Center, ResMed, Martinsried/Didcot/San Diego, Germany/UK/USA.
Ankit GhildiyalResMed Science Center, ResMed, Martinsried/Didcot/San Diego, Germany/UK/USA.
Naomi AlpertResMed Science Center, ResMed, Martinsried/Didcot/San Diego, Germany/UK/USA.
Fatemeh Saberi HosnijehOPEN Health, Rotterdam, The Netherlands.
Stephen BoultOPEN Health, London, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: OSA is common and can be effectively treated with CPAP. Up-to-date English epidemiologic data to inform care are scarce. Research Question: What are the incidence of OSA, patient characteristics, comorbidities, diagnostic methods, treatment pathways, and waiting times in England? Study Design and Methods: This retrospective cohort study used the Clinical Practice Research Datalink and linked Hospital Episode Statistics databases from January 1, 2010, to December 30, 2020. Included adults had ≥ 1 OSA code and ≥ 12 months' medical records before/after OSA diagnosis. Participant subgroups were defined by age and diagnosis/treatment (OSA + CPAP, OSA without CPAP, and no OSA). The OSA incidence was determined, and baseline sociodemographic characteristics/comorbidities, diagnosis/treatment pathways, and patient waiting times were recorded. The primary analysis population included data from 2010 to 2019 (to exclude the health effects of the COVID-19 pandemic); sensitivity analysis determined the OSA incidence rate for the full data set. Results: The primary analysis population included 69,155 individuals (nearly 70% male; mean age, 53.4 ± 13.2 years; mean BMI, 36.0 ± 8.5 kg/m Interpretation: These data highlight the increasing burden of OSA in England and underscore the need for improved diagnostic/treatment frameworks to expedite OSA management.

Indexed as

burden of diseaseCPAPfacility and services utilizationOSAquality of health care

Identifiers

PMID42548392
PMCPMC13419131

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.