Evidence map›Paper›PMID 33240101›Full record

ArticleFrontiers in physiology2020

Augmented Oscillations in QT Interval Duration Predict Mortality Post Myocardial Infarction Independent of Heart Rate.

Fatima J El-Hamad, Safa Y Bonabi, Alexander Müller, Alexander Steger, Georg Schmidt, Mathias Baumert

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00196274 (Autonomic Regulation Trial), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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.

NCT00196274 completednot on this map

Autonomic Regulation Trial (ART)

TypeobservationalSponsorDeutsches Herzzentrum MuenchenRan2000Enrolled1,000ConditionsInfarction, Myocardial
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 3 institutions in 2 countries.

Fatima J El-HamadSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Safa Y BonabiSchool of Electronic and Telecommunications Engineering, RMIT University, Melbourne, VIC, Australia.
Alexander MüllerInternal Medicine I Department, Technical University of Munich, Munich, Germany.
Alexander StegerInternal Medicine I Department, Technical University of Munich, Munich, Germany.
Georg SchmidtInternal Medicine I Department, Technical University of Munich, Munich, Germany.
Mathias BaumertSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Technical University of Munich · DEUniversity of Adelaide · AURMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study seeks to decompose QT variability (QTV) into physiological sources and assess their role for risk stratification in patients post myocardial infarction (MI). We hypothesize that the magnitude of QTV that cannot be explained by heart rate or respiration carries important prognostic information.

backgroundElevated beat-to-beat QTV is predictive of cardiac mortality, but the underlying mechanisms, and hence its interpretation, remain opaque.

methodsWe decomposed the QTV of 895 patients post MI into contributions by heart rate, respiration, and unexplained sources.

resultsCox proportional hazard analysis demonstrates that augmented oscillations in QTV and their level of dissociation from heart rate are associated with a higher 5-year mortality rate (18.4% vs. 4.7%,

conclusionAugmented oscillations in QTV and discordance from heart rate, possibly indicative of excessive sympathetic outflow to the ventricular myocardium, predict high risk in patients post MI independent from established risk markers. CLINICAL

trial registrationwww.ClinicalTrials.gov, identifier NCT00196274.

Indexed as

autoregressive modelcardiovascular diseasemyocardial infarctionrepolarization variabilityrisk stratificationsudden death

Identifiers

PMID33240101
PMCPMC7680963
OpenAlexW3102713170

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.