Evidence map›Paper›PMID 37887872›Full record

ReviewJournal of cardiovascular development and disease2023

Useful Electrocardiographic Signs to Support the Prediction of Favorable Response to Cardiac Resynchronization Therapy.

Andras Simon, David Pilecky, Loretta Zsuzsa Kiss, Mate Vamos

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Andras SimonDepartment of Cardiology, Szent Imre University Teaching Hospital, 1115 Budapest, Hungary.ORCID 0000-0003-1114-6462
David PileckyGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Loretta Zsuzsa KissHeart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary.ORCID 0000-0002-9209-3552
Mate VamosCardiac Electrophysiology Division, Department of Internal Medicine, University of Szeged, 6725 Szeged, Hungary.ORCID 0000-0003-1611-4443
University of Szeged · HUSemmelweis University · HUSzent Imre Egyetemi Oktatókórház · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac resynchronization therapy (CRT) is a cornerstone therapeutic opportunity for selected patients with heart failure. For optimal patient selection, no other method has been proven to be more effective than the 12-lead ECG, and hence ECG characteristics are extensively researched. The evaluation of particular ECG signs before the implantation may improve selection and, consequently, clinical outcomes. The definition of a true left bundle branch block (LBBB) seems to be the best starting point with which to select patients for CRT. Although there are no universally accepted definitions of LBBB, using the classical LBBB criteria, some ECG parameters are associated with CRT response. In patients with non-true LBBB or non-LBBB, further ECG predictors of response and non-response could be analyzed, such as QRS fractionation, signs of residual left bundle branch conduction, S-waves in V6, intrinsicoid deflection, or non-invasive estimates of Q-LV which are described in newer publications. The most important and recent study results of the topic are summarized and discussed in this current review.

Indexed as

cardiac resynchronization therapyCRTECGLBBBleft bundle branch blockpredictionresponse

Identifiers

PMID37887872
PMCPMC10607456
OpenAlexW4387638453

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.