Evidence map›Paper›PMID 39702502›Full record

ArticleScientific reports2024

Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population.

Alexander Steger, Petra Barthel, Alexander Müller, Ina-Maria Rückert-Eheberg, Birgit Linkohr, Julia Allescher, Melanie Maier, Alexander Hapfelmeier, Eimo Martens, Helene Hildegard Heidegger and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Correlation Analysis of 24-h Minimum Heart Rate Levels and Deceleration Capacity of Heart Rate in Patients With Type 2 Diabetes Mellitus Complicated With Essential Hypertension.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  2. Review
  3. Review
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

18 authors.

Alexander Steger *Department of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. alexander.steger@tum.de.
Petra BarthelDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Alexander MüllerDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Ina-Maria Rückert-EhebergInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Birgit LinkohrGerman Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Julia AllescherDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Melanie MaierDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Alexander HapfelmeierInstitute of AI and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Eimo MartensDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Helene Hildegard HeideggerDepartment of Obstetrics and Gynecology, LMU University Hospital, LMU Munich, Munich, Germany.
Arne Michael MüllerDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Konstantinos D RizasGerman Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Stefan KääbGerman Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Moritz F SinnerGerman Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Daniel SinneckerMVZ Harz, Goslar, Germany.
Karl-Ludwig LaugwitzDepartment of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Annette Peters *German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
Georg Schmidt *Department of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In contemporary healthcare, effective risk stratification in the general population is vital amidst rising chronic disease rates and an ageing demographic. Deceleration Capacity of the heart rate (DC), derived from 24-hour Holter electrocardiograms, holds promise in risk stratification for cardiac patients. However, the potential of short-term electrocardiograms of five minutes duration for population screening has not been fully explored. Our study aims to investigate the utility of Deceleration Capacity derived from short-term electrocardiograms as a scalable, fully-automated screening tool for predicting long-term mortality risk in the general population. Within a cohort of a representative population-based survey in Germany (KORA-KMC-study), 823 participants with sinus rhythm aged 27 to 76 years at enrollment (females 47.4%) were followed for a median of 13.4 years (IQR 13.1-13.6). All-cause mortality was defined as the primary endpoint and observed in 159 participants. Deceleration Capacity was calculated from 5-minute 12-lead electrocardiograms by a fully automated approach. Participants were divided into three predefined risk categories: DC

Indexed as

ElectrocardiographyHeart RateAdultAgedDecelerationElectrocardiography, AmbulatoryFemaleGermanyHumansMaleMiddle AgedRisk AssessmentRisk FactorsAutonomic regulationDeceleration capacity of the heart rateElectrocardiogramFully automated biosignal analysisGeneral population screeningNon-invasive long-term risk stratification

Identifiers

PMID39702502
PMCPMC11659320

What OpenQuestion holds

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LicenceCC BY
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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.