Evidence map›Paper›PMID 36942430›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

Should lethal arrhythmias in hypertrophic cardiomyopathy be predicted using non-electrophysiological methods?

Richard Saumarez, John Silberbauer, Jack Scannell, Mariusz Pytkowski, Elijah R Behr, Timothy Betts, Paulo Della Bella, Nicholas S Peters

Open access · hybridAbstract readComment
In one paragraph

Article in 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis.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
    Article
  5. Risk stratification of sudden cardiac death: a review.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 · 2023
    Review
  6. Predicting lethal ventricular arrhythmias in hypertrophic cardiomyopathy using non-electrophysiologic methods: Invasive EGM vs. non-invasive ECG analysis of fragmentation.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 · 2023
    Article
  7. Regarding the editorial by Sau and Ng. 'Hypertrophic cardiomyopathy risk stratification based on clinical or dynamic electrophysiological features: two sides of the same coin'.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 · 2023
    Article
  8. Hypertrophic cardiomyopathy risk stratification based on clinical or dynamic electrophysiological features: two sides of the same coin.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 · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Richard SaumarezRetired, Waterbeach, CB25 9HW, UK.ORCID 0000-0002-1711-4771
John SilberbauerDepartment Cardiology, Royal Sussex Hospital, Eastern Road, Brighton BN2 5BE, UK.ORCID 0000-0001-5215-3875
Jack ScannellThe Bayes Centre, University of Edinburgh, Edinburgh EH8 9BT, UK.ORCID 0000-0002-0480-4140
Mariusz PytkowskiDepartment of Cardiology, Narodowy Instytut Kardiologii, ul Alpejska 42, 04-628 Warsaw, Poland.ORCID 0000-0002-2343-4093
Elijah R BehrSt George's, Blackshaw Road, London SW17 ORE, UK.ORCID 0000-0002-8731-2853
Timothy BettsDepartment of Cardiology, John Radcliffe Hospital, Oxford OX3 9DU, UK.ORCID 0000-0001-9063-9905
Paulo Della BellaDepartment of Cardiology, San Raffaele Hospital, IT 20133, Milan, Italy.ORCID 0000-0001-8346-1387
Nicholas S PetersDepartment of Cardiology, Hammersmith Hospital, Imperial College, London W12 0HS, UK.ORCID 0000-0002-3581-8078
Hammersmith Hospital · GBInstitute of Cardiology · PLJohn Radcliffe Hospital · GBRoyal Sussex County Hospital · GBSt George's Hospital · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) is due to arrhythmias, the guidelines for prediction of SCD are based solely on non-electrophysiological methods. This study aims to stimulate thinking about whether the interests of patients with HCM are better served by using current, 'risk factor', methods of prediction or by further development of electrophysiological methods to determine arrhythmic risk. Five published predictive studies of SCD in HCM, which contain sufficient data to permit analysis, were analysed to compute receiver operating characteristics together with their confidence bounds to compare their formal prediction either by bootstrapping or Monte Carlo analysis. Four are based on clinical risk factors, one with additional MRI analysis, and were regarded as exemplars of the risk factor approach. The other used an electrophysiological method and directly compared this method to risk factors in the same patients. Prediction methods that use conventional clinical risk factors and MRI have low predictive capacities that will only detect 50-60% of patients at risk with a 15-30% false positive rate [area under the curve (AUC) = ∼0.7], while the electrophysiological method detects 90% of events with a 20% false positive rate (AUC = ∼0.89). Given improved understanding of complex arrhythmogenesis, arrhythmic SCD is likely to be more accurately predictable using electrophysiologically based approaches as opposed to current guidelines and should drive further development of electrophysiologically based methods.

Indexed as

Arrhythmias, CardiacCardiomyopathy, HypertrophicDeath, Sudden, CardiacHumansRisk FactorsROC CurveHypertrophic cardiomyopathyPredictionReceiver operating characteristicSudden death

Identifiers

PMID36942430
PMCPMC10227650
OpenAlexW4328047763

What OpenQuestion holds

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Registered trials

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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.