Evidence map›Paper›PMID 37077553›Full record

ArticleERJ open research2023

Registry on the Treatment of Central and Complex Sleep-Disordered Breathing with Adaptive Servo-Ventilation (READ-ASV): protocol and cohort profile.

Michael Arzt, Oliver Munt, Jean-Louis Pépin, Raphael Heinzer, Raphaela Kübeck, Ulrike von Hehn, Daniela Ehrsam-Tosi, Adam Benjafield, Holger Woehrle

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in ERJ open research, 2023. 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Highlights of the Sleep and Breathing Conference 2025.Breathe (Sheffield, England) · 2025
    Article
  2. Respiratory center function in patients under adaptive servoventilation: etiology and outcome.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  3. Treatment of sleep-disordered breathing in opioid users with adaptive servo-ventilation: a subgroup analysis of the European READ-ASV registry.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  4. Review
  5. Central sleep apnoea: not just one phenotype.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  6. 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 at 6 institutions in 4 countries.

Michael ArztDepartment of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.
Oliver MuntResMed Science Centre, Martinsried, Germany.
Jean-Louis PépinUniversité Grenoble Alpes, Laboratoire HP2, U1300 Inserm, CHU Grenoble Alpes, Grenoble, France.
Raphael HeinzerCentre d'Investigation et de Recherche sur le Sommeil, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Raphaela KübeckThe Clinical Research Institute, Munich, Germany.
Ulrike von Hehnmedistat GmbH, Krummwisch, Germany.
Daniela Ehrsam-TosiResMed Science Centre, Basil, Switzerland.
Adam BenjafieldResMed Science Center, Sydney, NSW, Australia.
Holger WoehrleSleep and Ventilation Center Blaubeuren, Ulm, Germany.
Inserm · FRInstitute of Clinical Cancer Research · DEResMed (Australia) · AUResMed (Germany) · DEUniversity Hospital of Lausanne · CHUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although adaptive servo-ventilation (ASV) effectively supresses central sleep apnoea (CSA), little is known about real-world indications of ASV therapy and its effects on quality of life (QoL). Methods: This report details the design, baseline characteristics, indications for ASV and symptom burden in patients enrolled in the Registry on the Treatment of Central and Complex Sleep-Disordered Breathing with Adaptive Servo-Ventilation (READ-ASV). This multicentre, European, non-interventional trial enrolled participants prescribed ASV in clinical practice between September 2017 and March 2021. An expert review board assigned participants to ASV indications using a guideline-based semi-automated algorithm. The primary end-point was change in disease-specific QoL based on the Functional Outcomes of Sleep Questionnaire (FOSQ) from baseline to 12-month follow-up. Results: The registry population includes 801 participants (age 67±12 years, 14% female). Indications for ASV were treatment-emergent or persistent CSA (56%), CSA in cardiovascular disease (31%), unclassified CSA (2%), coexisting obstructive sleep apnoea and CSA (4%), obstructive sleep apnoea (3%), CSA in stroke (2%) and opioid-induced CSA (1%). Baseline mean apnoea--hypopnoea index was 48±23 events·h Conclusion: The most common indications for ASV were treatment-emergent or persistent CSA or CSA in cardiovascular disease (excluding systolic heart failure). Patients using ASV in clinical practice had severe sleep-disordered breathing and were often symptomatic. One-year follow-up will provide data on the effects of ASV on QoL, respiratory parameters and clinical outcomes in these patients.

Identifiers

PMID37077553
PMCPMC10107058
OpenAlexW4318070526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.