Evidence map›Paper›PMID 39917592›Full record

ArticleEuropean journal of anaesthesiology and intensive care2023

Variability of expert assessments of ECG time domain parameters.

Carl Böck, Christoph Mörtl, Christoph Mahringer, Mario Huemer, Jens Meier

Abstract read
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Article in European journal of anaesthesiology and intensive care, 2023. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Carl BöckFrom the JKU LIT SAL eSPML Lab, Institute of Signal Processing, Johannes Kepler University Linz, Linz, Austria (CB, MH), University Clinic of Anesthesiology and Critical Care Medicine, Johannes Kepler University Linz, Linz, Austria (CMö, JM), Department for Medical Engineering, Kepler University Hospital, Linz, Austria (CM).
Christoph MörtlFrom the JKU LIT SAL eSPML Lab, Institute of Signal Processing, Johannes Kepler University Linz, Linz, Austria (CB, MH), University Clinic of Anesthesiology and Critical Care Medicine, Johannes Kepler University Linz, Linz, Austria (CMö, JM), Department for Medical Engineering, Kepler University Hospital, Linz, Austria (CM).
Christoph MahringerFrom the JKU LIT SAL eSPML Lab, Institute of Signal Processing, Johannes Kepler University Linz, Linz, Austria (CB, MH), University Clinic of Anesthesiology and Critical Care Medicine, Johannes Kepler University Linz, Linz, Austria (CMö, JM), Department for Medical Engineering, Kepler University Hospital, Linz, Austria (CM).
Mario HuemerFrom the JKU LIT SAL eSPML Lab, Institute of Signal Processing, Johannes Kepler University Linz, Linz, Austria (CB, MH), University Clinic of Anesthesiology and Critical Care Medicine, Johannes Kepler University Linz, Linz, Austria (CMö, JM), Department for Medical Engineering, Kepler University Hospital, Linz, Austria (CM).
Jens MeierFrom the JKU LIT SAL eSPML Lab, Institute of Signal Processing, Johannes Kepler University Linz, Linz, Austria (CB, MH), University Clinic of Anesthesiology and Critical Care Medicine, Johannes Kepler University Linz, Linz, Austria (CMö, JM), Department for Medical Engineering, Kepler University Hospital, Linz, Austria (CM).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn anaesthesiology, time domain parameters of the ECG are frequently used for long QT diagnosis, determination of branch blocks and for identifying atrioventricular blocks. However, this analysis depends on several factors and therefore the time domain parameters are prone to variability.

objectiveTo determine the variability of expert assessments of ECG time domain parameters in daily clinical practice.

designIn an observational study 18 physicians labelled the onset, peak and end of the waves (P-QRS-T) for 26 preselected, distinctive beats. Based on this, clinically important durations and intervals were derived: the duration of the P wave, T wave and QRS complex, as well as the length of the PQ and QT interval. These parameters were subsequently analysed with respect to inter-expert variability (for all experts and discipline-based subgroups) and, additionally, were compared with computer-aided analysis.

settingECG recordings from participating patients were recorded in March 2015 during standard examination in the hospital and stored in the local ECG database. PATIENTS: We did not define inclusion or exclusion criteria for the patients themselves; the ECG beats were selected by a medical expert with respect to their shapes and abnormalities.

main outcome measuresVariability of clinically relevant ECG wave durations and intervals quantified were expressed as the interquartile range and the Q

resultsThe resulting wave durations (P

conclusionThe observed, inter-investigator variability of assessing the PQ and QT intervals, as well as the wave durations, might result in important variance regarding ECG-associated diagnoses. Whether these variances play a major role in typical clinical situations would have to be demonstrated with further clinical observational studies.

Identifiers

PMID39917592
PMCPMC11783672

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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.