Evidence map›Paper›PMID 36329798›Full record

ArticleERJ open research2022

Baseline clusters and the response to positive airway pressure treatment in obstructive sleep apnoea patients: longitudinal data from the European Sleep Apnea Database cohort.

Ashraf Yassen, Katrin Coboeken, Sébastien Bailly, Rolf Burghaus, Jitka Buskova, Zoran Dogas, Marta Drummond, Haralampos Gouveris, Pavol Joppa, Joerg Lippert and 6 more

Abstract read
In one paragraph

Article in ERJ open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Approach the Patient With Obstructive Sleep Apnea and Obesity.The Journal of clinical endocrinology and metabolism · 2024
    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

16 authors.

Ashraf YassenPharmacometrics/Modeling and Simulation, Research and Development, Pharmaceuticals, Bayer AG, Leverkusen, Germany.
Katrin CoboekenPharmacometrics/Modeling and Simulation, Research and Development, Pharmaceuticals, Bayer AG, Leverkusen, Germany.
Sébastien BaillyUniversity Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble, France.ORCID https://orcid.org/0000-0002-2179-4650
Rolf BurghausPharmacometrics/Modeling and Simulation, Research and Development, Pharmaceuticals, Bayer AG, Leverkusen, Germany.ORCID https://orcid.org/0000-0001-7843-427X
Jitka BuskovaNational Institute of Mental Health, Klecany, Czech Republic.
Zoran DogasDepartment of Neuroscience, Sleep Medicine Center, University of Split School of Medicine, Split, Croatia.
Marta DrummondSleep and Non-Invasive Ventilation Unit of University Hospital São João, Medicine Faculty of Porto, Porto, Portugal.
Haralampos GouverisENT Department at Mainz University Hospital, Mainz, Germany.
Pavol JoppaDepartment of Respiratory Medicine and Tuberculosis, Faculty of Medicine, P.J. Safarik University and L. Pasteur University Hospital, Kosice, Slovakia.ORCID https://orcid.org/0000-0001-5055-0682
Joerg LippertPharmacometrics/Modeling and Simulation, Research and Development, Pharmaceuticals, Bayer AG, Leverkusen, Germany.ORCID https://orcid.org/0000-0002-0683-2874
Carolina LombardiIstituto Auxologico Italiano IRCCS, Sleep Disorders Center, San Luca Hospital, Milan, Italy.
Stefan MihaicutaCentre for Research and Innovation in Precision Medicine of Respiratory Diseases, Department of Pulmonology, "Victor Babes" University of Medicine and Pharmacy, CardioPrevent Foundation, Timisoara, Romania.ORCID https://orcid.org/0000-0001-8897-8342
Jean Louis PépinUniversity Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble, France.
Ding ZouDepartment of Internal Medicine and Clinical Nutrition, Center for Sleep and Wake Disorders, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-2057-8558
Jan HednerDepartment of Internal Medicine and Clinical Nutrition, Center for Sleep and Wake Disorders, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Ludger GroteDepartment of Internal Medicine and Clinical Nutrition, Center for Sleep and Wake Disorders, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-7405-1682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The European Sleep Apnea Database was used to identify distinguishable obstructive sleep apnoea (OSA) phenotypes and to investigate the clinical outcome during positive airway pressure (PAP) treatment. Method: Prospective OSA patient data were recruited from 35 sleep clinics in 21 European countries. Unsupervised cluster analysis (anthropometrics, clinical variables) was performed in a random sample (n=5000). Subsequently, all patients were assigned to the clusters using a conditional inference tree classifier. Responses to PAP treatment change in apnoea severity and Epworth sleepiness scale (ESS) were assessed in relation to baseline patient clusters and at short- and long-term follow-up. Results: At baseline, 20 164 patients were assigned (mean age 54.1±12.2 years, 73% male, median apnoea-hypopnoea index (AHI) 27.3 (interquartile range (IQR) 14.1-49.3) events·h Conclusion: OSA patients can be classified into clusters based on clinically identifiable features. Importantly, these clusters may be useful for prediction of both short- and long-term responses to PAP intervention.

Identifiers

PMID36329798
PMCPMC9619251

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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.