Evidence map›Paper›PMID 40135691›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025

Treatment of sleep-disordered breathing in opioid users with adaptive servo-ventilation: a subgroup analysis of the European READ-ASV registry.

Jean-Louis Pepin, Adam V Benjafield, Oliver Munt, Holger Woehrle, Raphael Heinzer, Michael Arzt, READ-ASV Investigators

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03032029 (Registry on the Treatment of Central and Complex Sleep-Disordered Breathing With Adaptive Servo-Ventilation), which is not on this 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.

NCT03032029 completednot on this map

Registry on the Treatment of Central and Complex Sleep-Disordered Breathing With Adaptive Servo-Ventilation

Typeobservational_patient_registrySponsorResMedRan2017 to 2022Enrolled847ConditionsCentral Sleep Apnea, Complex Sleep Apnea, Obstructive Sleep Apnea, Mixed Sleep ApneaArmsAdaptive Servo-Ventilation
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
  2. When invalid data becomes the dominant evidence in ChatGPT.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  3. 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

7 authors.

Jean-Louis PepinUniversity Grenoble Alpes, INSERM U1300, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France.
Adam V BenjafieldResMed Science Center, Sydney, New South Wales, Australia.
Oliver MuntResMed Science Center, Munich, Germany.
Holger WoehrleSleep and Ventilation Center Blaubeuren, Lung Center Ulm, Ulm, Germany.
Raphael HeinzerCentre d`Investigation et de Recherche sur le Sommeil, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Michael ArztDepartment of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.
READ-ASV Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesCentral sleep-disordered breathing (SDB) is associated with negative health outcomes. Intake of opioids influences stability of breathing and can cause central apneas. Screening for and treatment of SDB is recommended for individuals who use opioids. This subanalysis of the READ-ASV (Registry on the Treatment of Central and Complex Sleep-Disordered Breathing with Adaptive Servo-Ventilation) investigated the effects of adaptive servo-ventilation therapy (ASV) on SDB symptoms in people using opioids.

methodsPatients initiated on ASV who reported intake of opioids at baseline were included in this analysis of real-world registry data. Patients were prospectively followed-up for 12 months. Disease-specific quality of life was assessed with the Functional Outcomes of Sleep Questionnaire. Sleepiness was measured with the Epworth Sleepiness Scale. Symptomatic patients were defined as having a Functional Outcomes of Sleep Questionnaire score of < 17.9 and an Epworth Sleepiness Scale score of > 10.

resultsEighty-six patients who reported opioid use were included. The population had severe SDB (median apnea-hypopnea index: 55 events/h), the majority (n = 75 [87%]) had comorbidities, and 81.6% (40/49 with follow-up available questionnaires) were symptomatic at baseline. ASV effectively treated SDB (residual median apnea-hypopnea index from device data [apnea-hypopnea index flow]: 1.5 events/h). The Functional Outcomes of Sleep Questionnaire (+1.4 points;

conclusionsASV treatment of central breathing disorders in individuals using opioids resolved SDB and was associated with significant improvements in disease-specific quality of life and sleepiness. ASV treatment may therefore be an actionable intervention to counteract the negative effects of opioids on SDB and quality of life. CLINICAL

trial registrationRegistry: ClinicalTrials.gov; Name: Registry on the Treatment of Central and Complex Sleep-Disordered Breathing With Adaptive Servo-Ventilation (READ-ASV); URL: https://www.clinicaltrials.gov/study/NCT03032029; Identifier: NCT03032029. CITATION: Pepin J-L, Benjafield AV, Munt O, Woehrle H, Heinzer R, Arzt M; for the READ-ASV Investigators. Treatment of sleep-disordered breathing in opioid users with adaptive servo-ventilation: a subgroup analysis of the European READ-ASV registry.

Indexed as

Analgesics, OpioidSleep Apnea SyndromesAdultEuropeFemaleHumansMaleMiddle AgedProspective StudiesQuality of LifeRegistriesSurveys and QuestionnairesTreatment OutcomeAnalgesics, Opioidadaptive servo-ventilationcentral sleep apneaopioidsquality of lifesymptomatic

Identifiers

PMID40135691
PMCPMC12225274

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.