Evidence map›Paper›PMID 31869399›Full record

Observational studyPloS one2019

Health-related quality of life in patients with atrial fibrillation: The role of symptoms, comorbidities, and the type of atrial fibrillation.

Fabienne Witassek, Anne Springer, Luise Adam, Stefanie Aeschbacher, Jürg H Beer, Steffen Blum, Leo H Bonati, David Conen, Richard Kobza, Michael Kühne and 7 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05333380 (Study on the Effectiveness of Atrial Fibrillation Analysis Software in Atrial Fibrillation Rhythm Monitoring), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.7field-weighted citation impact, top 6% 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.

NCT05333380 unknown statusnot on this mapstarted 2022, after this paper: background citation

Study on the Effectiveness of Atrial Fibrillation Analysis Software in Atrial Fibrillation Rhythm Monitoring

TypeobservationalSponsorBeijing Anzhen HospitalRan2022 to 2023Enrolled266ConditionsAtrial Fibrillation, Atrial Fibrillation ParoxysmalArmsECG/PPG monitoring
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 57 citations in OpenAlex.

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  4. Clinician-assessed NYHA and EHRA symptom classifications only moderately reflect patient-reported quality of life in heart failure and atrial fibrillation.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
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  6. Quality of life, care needs and priorities in atrial fibrillation: the impact of number and patterns of comorbidities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  13. Health-related quality of life and healthcare costs of symptoms and cardiovascular disease events in patients with atrial fibrillation: a longitudinal analysis of 27 countries from the EURObservational Research Programme on Atrial Fibrillation general long-term registry.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
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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

17 authors at 9 institutions in 2 countries.

Fabienne WitassekEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Anne SpringerCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Luise AdamDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Stefanie AeschbacherCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Jürg H BeerDepartment of Medicine, Cantonal Hospital of Baden, Baden, and Molecular Cardiology, University Hospital of Zurich, Zurich, Switzerland.
Steffen BlumCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Leo H BonatiNeurology Division and Stroke Centre, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
David ConenCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Richard KobzaDepartment of Cardiology, Luzerner Kantonsspital, Lucerne, Switzerland.
Michael KühneCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Giorgio MoschovitisDivision of Cardiology, Ente Ospedaliero Cantonale, Ospedale Regionale di Lugano, Ticino, Lugano, Switzerland.
Stefan OsswaldCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Nicolas RodondiDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Christian SticherlingCardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland.
Thomas SzucsInstitute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland.
Matthias SchwenkglenksEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Swiss-AF study investigators
University Hospital of Basel · CHUniversity of Basel · CHLuzerner Kantonsspital · CHOspedale regionale di Lugano · CHPopulation Health Research Institute · CAUniversity Hospital of Bern · CHUniversity Hospital of Zurich · CHUniversity of Bern · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to analyse health related quality of life (HRQoL) for patients with different atrial fibrillation (AF) types and to identify patient characteristics, symptoms and comorbidities that influence HRQoL.

methodsWe used baseline data from the Swiss Atrial Fibrillation (Swiss-AF) study, a prospective multicentre observational cohort study conducted in 13 clinical centres in Switzerland. Between April 2014 and August 2017, 2415 AF patients were recruited. Patients were included in this analysis if they had baseline HRQoL data as assessed with EQ-5D-based utilities and visual analogue scale (VAS) scores. Patient characteristics and HRQoL were described stratified by AF type. The impact of symptoms, comorbidities and socio-economic factors on HRQoL was analysed using multivariable regression analysis.

resultsBased on 2412 patients with available baseline HRQoL data, the lowest unadjusted mean HRQoL was found in patients with permanent AF regardless of whether measured with utilities (paroxysmal: 0.83, persistent: 0.84, permanent: 0.80, p<0.001) or VAS score (paroxysmal: 73.6, persistent: 72.8, permanent: 69.2, p<0.001). In multivariable analysis of utilities and VAS scores, higher European Heart Rhythm Association (EHRA) score, recurrent falls and several comorbidities showed a strong negative impact on HRQoL while AF type was no longer associated with HRQoL.

conclusionsMultiple factors turned out to influence HRQoL in AF patients. After controlling for several comorbidities, the EHRA score was one of the strongest predictors independent of AF type. The results may be valuable for better patient assessment and provide a reference point for further QoL and health economic analyses in AF populations.

Indexed as

Quality of LifeAgedAged, 80 and overAtrial FibrillationFemaleHumansMaleProspective StudiesSwitzerland

Identifiers

PMID31869399
PMCPMC6927649
OpenAlexW2996580570

What OpenQuestion holds

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LicenceCC BY
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.