Evidence map›Paper›PMID 35005792›Full record

SynthesisClinical cardiology2022

Ventricular repolarization heterogeneity in patients with COVID-19: Original data, systematic review, and meta-analysis.

Elham Mahmoudi, Reza Mollazadeh, Pejman Mansouri, Mohammad Keykhaei, Shayan Mirshafiee, Behnam Hedayat, Mojtaba Salarifar, Matthew F Yuyun, Hirad Yarmohammadi

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Arrhythmia and COVID-19 in children.Clinical and experimental pediatrics · 2023
    Article
  8. Review
  9. Article
  10. 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

9 authors at 5 institutions in 2 countries.

Elham MahmoudiGerash Amir-al-Momenin Medical and Educational Center, Gerash University of Medical Sciences, Gerash, Iran.ORCID http://orcid.org/0000-0001-5160-0506
Reza MollazadehDepartment of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-2131-0409
Pejman MansouriTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad KeykhaeiNon-Communicable Diseases Research Center (NCDRC), Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shayan MirshafieeDepartment of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Behnam HedayatTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Mojtaba SalarifarTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Matthew F YuyunVA Boston Healthcare System & Harvard Medical School, Boston, Massachusetts, USA.
Hirad YarmohammadiDivision of Cardiology, Columbia University, New York, New York, USA.
Imam Khomeini Hospital · IRTehran University of Medical Sciences · IRColumbia University · USHarvard University · USIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) has been associated with an increased risk of acute cardiac events. However, the effect of COVID-19 on repolarization heterogeneity is not yet established. In this study, we evaluated electrocardiogram (ECG) markers of repolarization heterogeneity in patients hospitalized with COVID-19. In addition, we performed a systematic review and meta-analysis of the published studies.

methodsQT dispersion (QTd), the interval between T wave peak to T wave end (TpTe), TpTe/QT (with and without correction), QRS width, and the index of cardio-electrophysiological balance (iCEB) were calculated in 101 hospitalized COVID-19 patients and it was compared with 101 non-COVID-19 matched controls. A systematic review was performed in four databases and meta-analysis was conducted using Stata software.

resultsTp-Te, TpTe/QT, QRS width, and iCEB were significantly increased in COVID-19 patients compared with controls (TpTe = 82.89 vs. 75.33 ms (ms), p-value = .005; TpTe/QT = 0.217 vs. 0.203 ms, p-value = .026). After a meta-analysis of 679 COVID-19 cases and 526 controls from 9 studies, TpTe interval, TpTe/QT, and TpTe/QTc ratios were significantly increased in COVID-19 patients. Meta-regression analysis moderated by age, gender, diabetes mellitus, hypertension, and smoking reduced the heterogeneity. QTd showed no significant correlation with COVID-19.

conclusionCOVID-19 adversely influences the ECG markers of transmural heterogeneity of repolarization. Studies evaluating the predictive value of these ECG markers are warranted to determine their clinical utility.

Indexed as

COVID-19Arrhythmias, CardiacElectrocardiographyHumansSARS-CoV-2COVID-19electrocardiographyQT dispersionrepolarization disparityrepolarization heterogeneitysudden cardiac deathT-peak to T-end

Identifiers

PMID35005792
PMCPMC8799060
OpenAlexW4205437068

What OpenQuestion holds

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LicenceCC BY
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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.