Evidence map›Paper›PMID 33942208›Full record

ArticleSleep & breathing = Schlaf & Atmung2022

Comorbidity clusters in patients with moderate-to-severe OSA.

Dries Testelmans, M A Spruit, B Vrijsen, M Sastry, C Belge, A Kalkanis, S Gaffron, E F M Wouters, B Buyse

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Research progress on the clinical subtyping of obstructive sleep apnea hypopnea syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Dries TestelmansDepartment of Pulmonology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium. dries.testelmans@uzleuven.be.ORCID 0000-0001-7303-9799
M A SpruitDepartment of Research and Education, CIRO, Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
B VrijsenDepartment of Pulmonology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
M SastryAcademic Sleep Centre, CIRO, Horn, The Netherlands.
C BelgeDepartment of Pulmonology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
A KalkanisDepartment of Pulmonology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
S GaffronAnalytics, Viscovery Software GmbH, Vienna, Austria.
E F M WoutersDepartment of Research and Education, CIRO, Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands.
B BuyseDepartment of Pulmonology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObstructive sleep apnea (OSA) is a prevalent and multifaceted disease. To date, the presence and severity of objectively identified comorbidities and their association with specific OSA phenotypes, CPAP adherence, and survival remain to be elucidated. The aim of this study is to cluster patients with OSA based on 10 clinically important objectively identified comorbidities, and to characterize the comorbidity clusters in terms of clinical and polysomnographic characteristics, CPAP adherence, and survival. STUDY DESIGN AND

methodsSeven hundred ten consecutive patients starting CPAP for moderate-to-severe OSA were included. Comorbidities were based on generally accepted cutoffs identified in the peer-reviewed literature. Self-organizing maps were used to order patients based on presence and severity of their comorbidities and to generate clusters.

resultsThe majority of patients were men (80%). They were generally middle-aged (52 years) and obese (BMI: 31.5 kg/m

conclusionComorbidity prevalence in patients with OSA is high, and different comorbidity clusters, demonstrating differences in cardiovascular risk, CPAP adherence, and survival, can be identified. These results further substantiate the need for a comprehensive assessment of patients with OSA beyond the AHI.

Indexed as

Continuous Positive Airway PressureFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexSleep Apnea, ObstructiveSurvival RateCluster analysisComorbidityCPAPSleep apnea

Identifiers

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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.