Evidence map›Paper›PMID 37470430›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

Manual vs. automatic assessment of the QT-interval and corrected QT.

Benjamin Neumann, A Suzanne Vink, Ben J M Hermans, Krystien V V Lieve, Didem Cömert, Britt-Maria Beckmann, Sally-Ann B Clur, Nico A Blom, Tammo Delhaas, Arthur A M Wilde and 3 more

Open access · hybridAbstract read
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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  11. QTcNet: a deep learning model for direct heart rate corrected QT interval estimation.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 · 2025
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  16. Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome.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

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

13 authors at 6 institutions in 2 countries.

Benjamin NeumannDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-5169-8053
A Suzanne VinkDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.ORCID 0000-0001-6571-7967
Ben J M HermansDepartment of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7780-4427
Krystien V V LieveDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.ORCID 0000-0003-3960-5552
Didem CömertDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.ORCID 0000-0002-9505-4380
Britt-Maria BeckmannDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.
Sally-Ann B ClurDepartment of Pediatric Cardiology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-5276-1475
Nico A BlomDepartment of Pediatric Cardiology, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4823-6974
Tammo DelhaasDepartment of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-6897-9700
Arthur A M WildeDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.ORCID 0000-0002-0528-0852
Stefan KääbDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-8824-3581
Pieter G PostemaDepartment of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.ORCID 0000-0003-2863-9159
Moritz F SinnerDepartment of Medicine I, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-6660-796X
Amsterdam University Medical Centers · NLLMU Klinikum · DEEmma Kinderziekenhuis · NLLeiden University Medical Center · NLMaastricht University · NLGoethe University Frankfurt · DE

Funding

Dutch Heart FoundationGerman Centre for Cardiovascular Research (DZHK)
6 · The paper itself

Abstract

aimsSudden cardiac death (SCD) is challenging to predict. Electrocardiogram (ECG)-derived heart rate-corrected QT-interval (QTc) is used for SCD-risk assessment. QTc is preferably determined manually, but vendor-provided automatic results from ECG recorders are convenient. Agreement between manual and automatic assessments is unclear for populations with aberrant QTc. We aimed to systematically assess pairwise agreement of automatic and manual QT-intervals and QTc. METHODS AND

resultsA multi-centre cohort enriching aberrant QTc comprised ECGs of healthy controls and long-QT syndrome (LQTS) patients. Manual QT-intervals and QTc were determined by the tangent and threshold methods and compared to automatically generated, vendor-provided values. We assessed agreement globally by intra-class correlation coefficients and pairwise by Bland-Altman analyses and 95% limits of agreement (LoA). Further, manual results were compared to a novel automatic QT-interval algorithm. ECGs of 1263 participants (720 LQTS patients; 543 controls) were available [median age 34 (inter-quartile range 35) years, 55% women]. Comparing cohort means, automatic and manual QT-intervals and QTc were similar. However, pairwise Bland-Altman-based agreement was highly discrepant. For QT-interval, LoAs spanned 95 (tangent) and 92 ms (threshold), respectively. For QTc, the spread was 108 and 105 ms, respectively. LQTS patients exhibited more pronounced differences. For automatic QTc results from 440-540 ms (tangent) and 430-530 ms (threshold), misassessment risk was highest. Novel automatic QT-interval algorithms may narrow this range.

conclusionPairwise vendor-provided automatic and manual QT-interval and QTc results can be highly discrepant. Novel automatic algorithms may improve agreement. Within the above ranges, automatic QT-interval and QTc results require manual confirmation, particularly if T-wave morphology is challenging.

Indexed as

ElectrocardiographyLong QT SyndromeAdultArrhythmias, CardiacDeath, Sudden, CardiacFemaleHumansMaleRisk AssessmentElectrocardiogramLong QT syndromeMisassessmentQTcQT-intervalSudden cardiac death

Identifiers

PMID37470430
PMCPMC10469369
OpenAlexW4384819695

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.