Evidence map›Paper›PMID 27403290›Full record

ArticleArrhythmia & electrophysiology review2016

Post-extrasystolic Blood Pressure Potentiation as a Risk Predictor in Cardiac Patients.

Alexander Steger, Daniel Sinnecker, Petra Barthel, Alexander Müller, Josef Gebhardt, Georg Schmidt

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Arrhythmia & electrophysiology review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03631303 (Post-Extrasystolic Potentiation as a Predictor of Ventricular Arrhythmias), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 30% 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.

NCT03631303 unknown statusnot on this mapstarted 2018, after this paper: background citation

Post-Extrasystolic Potentiation as a Predictor of Ventricular Arrhythmias

TypeobservationalSponsorAmsterdam UMC, location VUmcRan2018 to 2020Enrolled30ConditionsPost-extrasystolic Potentiation (PESP), Ventricular TachycardiaArmsCardiac stimulation through the device leads
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Wearable Photoplethysmography for Cardiovascular Monitoring.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    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

6 authors at 1 institution in 1 country.

Alexander Steger1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Daniel Sinnecker1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Petra Barthel1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Alexander Müller1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Josef Gebhardt1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Georg Schmidt1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Klinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For more than 100 years physicians have observed that heartbeats following extrasystolic beats are characterised by augmented myocardial contractility. This phenomenon was termed post-extrasystolic potentiation (PESP). In the 1970s it was first noted that PESP measured at the blood pressure level is typically pronounced in heart failure patients. Only recently, it was shown that PESP measured non-invasively as post-extrasystolic blood pressure potentiation was a strong and independent predictor of death in survivors of myocardial infarction and in patients with chronic heart failure. A similar parameter (PESPAfib) can be also assessed in patients with atrial fibrillation. PESP and PESPAfib can be understood as non-invasive parameters that indicate myocardial dysfunction. They have the potential to improve risk stratification strategies for cardiac patients.

Indexed as

myocardial infarctionPost-extrasystolic potentiationrisk prediction

Identifiers

PMID27403290
PMCPMC4939308
OpenAlexW2399464813

What OpenQuestion holds

Textmetadata
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.