Evidence map›Paper›PMID 26334569›Full record

ArticleHeart rhythm2016

"QT clock" to improve detection of QT prolongation in long QT syndrome patients.

Alex Page, Mehmet K Aktas, Tolga Soyata, Wojciech Zareba, Jean-Philippe Couderc

Open access · bronzeAbstract read
In one paragraph

Article in Heart rhythm, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.2field-weighted citation impact, top 5% 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.

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

14 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Burning mouth syndrome: updates on pathogenesis and diagnostic algorithms.Journal of oral & facial pain and headache · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Differential diagnosis between LQT1 and LQT2 by QT/RR relationships using 24-hour Holter monitoring: A multicenter cross-sectional study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    Article
  8. Diurnal QT analysis in patients with sotalol after cardioversion of atrial fibrillation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Assessment of the QT Interval in Athletes: Red Flags and Pitfalls.Current treatment options in cardiovascular medicine · 2018
    Review
  13. Article
  14. 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

5 authors at 2 institutions in 1 country.

Alex PageElectrical and Computer Engineering Department, University of Rochester, Rochester, New York.
Mehmet K AktasCardiology Department, University of Rochester Medical Center, Rochester, New York.
Tolga SoyataElectrical and Computer Engineering Department, University of Rochester, Rochester, New York.
Wojciech ZarebaHeart Research Follow Up Program, Rochester, New York.
Jean-Philippe CoudercElectrical and Computer Engineering Department, University of Rochester, Rochester, New York; Heart Research Follow Up Program, Rochester, New York. Electronic address: Jean-Philippe.Couderc@heart.rochester.edu.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

Center for Quantitative Electrocardiography and Cardiac SafetyU24HL096556 · NHLBI · UNIVERSITY OF ROCHESTER · PI COUDERC, JEAN-PHILIPPE Y · 2009 to 2011
$2.1M
QTRR Dynamic Coupling in Patients with the Long QT SyndromeR01HL114944 · NHLBI · UNIVERSITY OF ROCHESTER · PI COUDERC, JEAN-PHILIPPE Y · 2013 to 2016
$1.7M
NHLBI NIH HHS R01 HL114944NHLBI NIH HHS R01HL114944NHLBI NIH HHS U24 HL096556NHLBI NIH HHS U24HL096556
6 · The paper itself

Abstract

backgroundThe QT interval is a risk marker for cardiac events such as torsades de pointes. However, QT measurements obtained from a 12-lead ECG during clinic hours may not capture the full extent of a patient's daily QT range.

objectiveThe purpose of this study was to evaluate the utility of 24-hour Holter ECG recording in patients with long QT syndrome (LQTS) to identify dynamic changes in the heart rate-corrected QT interval and to investigate methods of visualizing the resulting datasets.

methodsBeat-to-beat QTc (Bazett) intervals were automatically measured across 24-hour Holter recordings from 202 LQTS type 1, 89 type 2, and 14 type 3 genotyped patients and a reference group of 200 healthy individuals. We measured the percentage of beats with QTc greater than the gender-specific threshold (QTc ≥470 ms in women and QTc ≥450 ms in men). The percentage of beats with QTc prolongation was determined across the 24-hour recordings.

resultsBased on the median percentage of heartbeats per patient with QTc prolongation, LQTS type 1 patients showed more frequent QTc prolongation during the day (~3 PM) than they did at night (~3 AM): 97% vs 48%, P ~10(-4) for men, and 68% vs 30%, P ~10(-5) for women. LQTS type 2 patients showed less frequent QTc prolongation during the day compared to nighttime: 87% vs 100%, P ~10(-4) for men, and 62% vs 100%, P ~10(-3) for women.

conclusionIn patients with genotype-positive LQTS, significant differences exist in the degree of daytime and nocturnal QTc prolongation. Holter monitoring using the "QT clock" concept may provide an easy, fast, and accurate method for assessing the true personalized burden of QTc prolongation.

Indexed as

Long QT SyndromeRomano-Ward SyndromeAdolescentAdrenergic beta-AntagonistsAdultChildChild, PreschoolElectrocardiography, AmbulatoryERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsFemaleHeart RateHumansKCNQ1 Potassium ChannelMaleReproducibility of ResultsAdrenergic beta-AntagonistsERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsKCNQ1 Potassium ChannelKCNQ1 protein, humanCardiac monitoringDiagnosticElectrocardiographyLong QT syndrome

Identifiers

PMID26334569
PMCPMC4698188
OpenAlexW1427032236

What OpenQuestion holds

Textmetadata
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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.