Evidence map›Paper›PMID 31997539›Full record

ArticleESC heart failure2019

Cost-effectiveness of a cardiac contractility modulation device in heart failure with normal QRS duration.

Klaus Witte, Gerd Hasenfuss, Axel Kloppe, Daniel Burkhoff, Michelle Green, Joe Moss, Alison Peel, Stuart Mealing, Isabelle Durand Zaleski, Martin R Cowie

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06973902 (Advanced Heart Failure), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 12% 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.

NCT06973902 recruitingnot on this mapstarted 2025, after this paper: background citation

Advanced Heart Failure: The Predictive Value of Dobutamine Echo-stress in the Clinical Response to Cardiac Contractility Modulation Therapy (CCM)

TypeobservationalSponsorQuovadis AssociazioneRan2025 to 2028Enrolled120ConditionsSymptomatic Congestive Heart FailureArmsCardiac Contractility Modulation (CCM) implant
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

10 authors at 8 institutions in 4 countries.

Klaus WitteLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Gerd HasenfussHeart Center of Göttingen, University Medical Center Göttingen, Göttingen, Germany.
Axel KloppeDepartment of Cardiology, Ruhr-Universität-Bochum, Bochum, Germany.
Daniel BurkhoffDivision of Cardiology, Department of Medicine, Columbia University Medical Center - New York Presbyterian, New York, NY, USA.
Michelle GreenYork Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK.
Joe MossYork Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK.
Alison PeelYork Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK.
Stuart MealingYork Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK.
Isabelle Durand ZaleskiP-HP, URCEco Ile de France, Hôpital de l'Hôtel-Dieu, Université Paris 12, Paris, France.
Martin R CowieDepartment of Cardiology, Imperial College London, Royal Brompton Hospital, London, UK.
Leeds and York Partnership NHS Foundation Trust · GBHôtel-Dieu de Paris · FRNewYork–Presbyterian Hospital · USRoyal Brompton Hospital · GBRuhr University Bochum · DEUniversitätsmedizin Göttingen · DEUniversity of Leeds · GBUniversity of York · GB

Funding

Impulse Dynamics
6 · The paper itself

Abstract

aimsThe objective of this paper is to assess whether cardiac contractility modulation (via the Optimizer System) plus standard of care (SoC) is a cost-effective treatment for people with heart failure [New York Heart Association (NYHA) III, left ventricular ejection fraction of 25-45%, and narrow QRS] compared against SoC alone from the perspective of the English National Health Service. METHODS AND

resultsWe developed a regression equation-based cost-effectiveness model, using individual patient data from three randomized control trials (FIX-HF-5 Phases 1 and 2, and FIX-HF-5C) to populate the majority of parameters. A series of regression equations predicted NYHA class over time, mortality, all-cause hospitalization rates, and health-related quality of life. We conducted the analysis in line with the National Institute for Health and Care Excellence reference case, modelling costs from an English National Health Service perspective, and considering outcomes in quality-adjusted life years (QALYs) over a patient lifetime perspective. Our base case analysis produced an incremental cost per additional QALY of GBP22 988 (€25 750) when comparing Optimizer + SoC to SoC alone. This result was not sensitive to parameter uncertainty but was sensitive to the time horizon over which costs and QALYs were captured and the duration over which a survival benefit with Optimizer + SoC can be assumed to apply.

conclusionsCardiac contractility modulation is likely to be cost-effective in people with heart failure with reduced ejection fraction, NYHA III, and narrow QRS, provided that the treatment benefit can be maintained beyond the duration of the existing clinical trial follow-up. This analysis supports the current recommendations of the European Society of Cardiology that this therapy may be considered for such patients.

Indexed as

Electric Stimulation TherapyHeart FailurePacemaker, ArtificialAgedCost-Benefit AnalysisElectrocardiographyFemaleHeartHospitalizationHumansMaleMiddle AgedQuality of LifeRandomized Controlled Trials as TopicCardiac contractility modulationCost-effectiveness analysisHeart failure

Identifiers

PMID31997539
PMCPMC6989288
OpenAlexW3004200056

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.