Evidence map›Paper›PMID 35169613›Full record

ArticleInternational journal of cardiology. Heart & vasculature2022

Echocardiographic predictors of ventricular arrhythmias in patients with non-ischemic cardiomyopathy.

Mehmet Harapoz, Matthew Zada, Jim Matthews, Saurabh Kumar, Liza Thomas

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Strain Imaging and Ventricular Arrhythmia.Diagnostics (Basel, Switzerland) · 2023
    Review
  4. 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 3 institutions in 1 country.

Mehmet HarapozDepartment of Cardiology, Westmead Hospital, Sydney, NSW, Australia.
Matthew ZadaDepartment of Cardiology, Westmead Hospital, Sydney, NSW, Australia.
Jim MatthewsSydney Informatics Hub, Core Research Facilities, University of Sydney, NSW, Australia.
Saurabh KumarDepartment of Cardiology, Westmead Hospital, Sydney, NSW, Australia.
Liza ThomasDepartment of Cardiology, Westmead Hospital, Sydney, NSW, Australia.
Westmead Hospital · AUThe University of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVentricular arrhythmias (VA) portend a poor prognosis in non-ischemic cardiomyopathy (NICM). In this meta-analysis we evaluated if left ventricular (LV) global longitudinal strain (GLS) and LV mechanical dispersion (LVMD) are associated with VA, specifically in NICM patients.

methodsA systematic review and meta-analysis was performed to determine the predictive value of LV GLS and LVMD for VA in NICM patients. VA endpoints were a composite of sudden cardiac death, VA events (including ventricular tachycardia or ventricular fibrillation), cardiac arrest and appropriate implantable cardioverter-defibrillator (ICD) therapy. Hazard or odds ratios for univariate models were extracted for the relationship between LV GLS and LVMD with VA endpoints.

resultsA total of 984 patients from 6 published studies were included; 231 patients (23.5%) experienced the composite endpoint. NICM patients who experienced VA endpoints had LV GLS impairment compared to those without (weighted mean difference -1.93%; 95% confidence interval (CI) -2.77 to -1.10; p < 0.001) and LV GLS was related to VA endpoints (hazard ratio: 1.12, 95% CI 1.07-1.17, p < 0.001; odds ratio: 1.22, 95% CI 1.08-1.38, p = 0.002). Four studies reported mean LVMD (weighted mean -10.05 ms; 95% CI -28.25 to 8.14; p = 0.28), with 3 reporting risk ratios (1 reported odds ratio and 2 hazard ratios). Only odds ratio demonstrated statistical significance (hazard ratio: 0.47, 95% CI 0.01-22.25, p = 0.70; odds ratio: 1.59, 95% CI 1.14-2.22, p = 0.007).

conclusionLV GLS impairment demonstrates value for predicting VA endpoints in NICM patients. Inclusion of LV GLS may be appropriate in the surveillance, screening, and clinical management of NICM patients.

Indexed as

CardiomyopathyEchocardiographyMyocardial Strain

Identifiers

PMID35169613
PMCPMC8829059
OpenAlexW4210389717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.