Evidence map›Paper›PMID 40197774›Full record

Trial reportAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2025

Predicting Ventricular Tachyarrhythmias in Patients With Left Ventricular Ejection Fraction Improvement Following Cardiac Resynchronization Therapy.

Adam Visca, Saadia Sherazi, Ilan Goldenberg, Scott McNitt, Nikhila Rao, Nilesh Rao, Ahmed Shah, Mehmet Aktas, Valentina Kutyifa, Wojciech Zareba and 1 more

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Adam ViscaDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.ORCID 0009-0009-7957-1546
Saadia SheraziDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Ilan GoldenbergDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Scott McNittDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Nikhila RaoDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Nilesh RaoDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Ahmed ShahDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Mehmet AktasDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-9003-9384
Valentina KutyifaDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-0016-289X
Wojciech ZarebaDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Krishna RaoDivision of Cardiology, Clinical Cardiovascular Research Center, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients undergoing cardiac resynchronization therapy with a defibrillator (CRT-D) often experience improvements in the left ventricular ejection fraction (LVEF). This study aimed to identify predictors of ventricular tachyarrhythmias (VTA) in patients with CRT-D devices and LVEF improvement beyond guideline recommendations for a defibrillator.

methodsPatients randomized to the CRT-D arm of the Multicenter Automatic Defibrillator Implantation Trial With Cardiac Resynchronization Therapy trial who improved their LVEF to > 35% at 12 months following CRT-D implant were included in this analysis (N = 651). Predictors of an appropriate implantable cardioverter defibrillator (ICD) Rx VTA were evaluated by Cox proportional hazards regression modeling.

resultsWe identified three predictors of VTA among patients treated with CRT-D subsequent to LVEF improvement > 35%: Lower range improvement in LVEF 36%-40% versus improvement to > 40% (HR, 1.97; 95% CI, 1.21-3.20; p = 0.006); Baseline non-LBBB ECG morphology (hazard ratio [HR], 1.93; 95% confidence interval [CI], 1.23-3.04; p = 0.004); Occurrence of VTA during the first year post-CRT-D (HR, 4.91; 95% CI, 2.99-8.07; p < 0.001).

conclusionsWe identified a sub-group of patients with risk factors who remain at high risk of VTA despite improvement in LVEF following CRT implant. These patients require close monitoring despite improvement in LVEF beyond guideline recommendations for an ICD.

Indexed as

Cardiac Resynchronization TherapyHeart FailureStroke VolumeTachycardia, VentricularAgedDefibrillators, ImplantableElectrocardiographyFemaleHumansMaleMiddle AgedTreatment Outcomecardiac resynchronizationheart failureventricular arrhythmias

Identifiers

PMID40197774
PMCPMC11976875

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.