Evidence map›Paper›PMID 39896195›Full record

ArticleFrontiers in physiology2024

Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction.

Ralf J Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker

Abstract read
In one paragraph

Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ralf J DirschingerDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Alexander MüllerDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Petra BarthelDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Alexander StegerDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Michael DommaschEmergency Department, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Axel BauerClinical Division of Cardiology and Angiology, Innsbruck Medical University, Innsbruck, Tyrol, Austria.
Karl-Ludwig LaugwitzDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Georg SchmidtDepartment of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Daniel SinneckerMVZ Harz, Goslar, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Efficient use of preventive cardiac therapies is often limited by inefficient risk prediction, calling for new prediction tools. Ventricular premature complexes (VPCs) elicit electrocardiographic changes in the repolarization of the first post-extrasystolic normal beat. The aim of this study was to assess whether this Methods: PEST was calculated from 30-min ECGs obtained from 941 survivors of acute myocardial infarction (AMI) as mean difference between the sum of squared voltages from three orthogonal leads (XYZ) of the first (post-extrasystolic) and second (reference) beat after each VPC, in a time window between the limits ϕ Results: The area under the ROC curve for PEST was 0.72, with an optimum cutoff at ≤ -6.69 mV Conclusion: PEST is a strong independent predictor of all-cause mortality in AMI survivors and elderly subjects from the general population. While the pathophysiology of this association remains to be investigated, PEST may complement current risk prediction tools in various clinical settings.

Indexed as

ECG analysis algorithmmyocardial infarctionpestrepolarisationrisk predictionVPC

Identifiers

PMID39896195
PMCPMC11782248

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.