Evidence map›Paper›PMID 36345173›Full record

SynthesisAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2023

The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review.

Daniel T Tardo, Matthew Peck, Rajesh N Subbiah, Jamie I Vandenberg, Adam P Hill

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Daniel T TardoCardiac Electrophysiology Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.ORCID 0000-0002-2770-1574
Matthew PeckCardiac Electrophysiology Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.
Rajesh N SubbiahCardiac Electrophysiology Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.
Jamie I VandenbergCardiac Electrophysiology Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.ORCID 0000-0002-3859-3716
Adam P HillCardiac Electrophysiology Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.

Funding

NHMRC Principal Research FellowshipNHMRC Project GrantNSW Government Cardiovascular Capacity Building Senior Scientist Grant
6 · The paper itself

Abstract

introductionQTc prolongation is key in diagnosing long QT syndrome (LQTS), however 25%-50% with congenital LQTS (cLQTS) demonstrate a normal resting QTc. T wave morphology (TWM) can distinguish cLQTS subtypes but its role in acquired LQTS (aLQTS) is unclear.

methodsElectronic databases were searched using the terms "LQTS," "long QT syndrome," "QTc prolongation," "prolonged QT," and "T wave," "T wave morphology," "T wave pattern," "T wave biomarkers." Whole text articles assessing TWM, independent of QTc, were included.

resultsSeventeen studies met criteria. TWM measurements included T-wave amplitude, duration, magnitude, Tpeak-Tend, QTpeak, left and right slope, center of gravity (COG), sigmoidal and polynomial classifiers, repolarizing integral, morphology combination score (MCS) and principal component analysis (PCA); and vectorcardiographic biomarkers. cLQTS were distinguished from controls by sigmoidal and polynomial classifiers, MCS, QTpeak, Tpeak-Tend, left slope; and COG x axis. MCS detected aLQTS more significantly than QTc. Flatness, asymmetry and notching, J-Tpeak; and Tpeak-Tend correlated with QTc in aLQTS. Multichannel block in aLQTS was identified by early repolarization (ERD

conclusionNumerous TWM biomarkers which supplement QTc assessment were identified. Their diagnostic capabilities include differentiation of genotypes, identification of concealed LQTS, differentiating aLQTS from cLQTS; and determining multichannel versus hERG channel blockade.

Indexed as

ElectrocardiographyLong QT SyndromeBiomarkersGenotypeHumansBiomarkersacquired long QT syndromecongenital long QT syndromeECG biomarkersLQTSsudden cardiac deathT wave morphology

Identifiers

PMID36345173
PMCPMC9833360

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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.