Evidence map›Paper›PMID 23634177›Full record

ArticleComputational and mathematical methods in medicine2013

Normality index of ventricular contraction based on a statistical model from FADS.

Luis Jiménez-Ángeles, Raquel Valdés-Cristerna, Enrique Vallejo, David Bialostozky, Verónica Medina-Bañuelos

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2013. 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
–field-weighted citation impact, top 94% 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, 3 citations in OpenAlex.

  1. 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.

Luis Jiménez-ÁngelesNuclear Cardiology Department, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano No. 1 Colonia Seccion XVI, Tlalpan, 14080 Mexico City, DF, Mexico. luis.jimenez@ieee.org
Raquel Valdés-Cristerna
Enrique Vallejo
David Bialostozky
Verónica Medina-Bañuelos
Instituto Nacional de Cardiología · MXUniversidad Autónoma Metropolitana · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radionuclide-based imaging is an alternative to evaluate ventricular function and synchrony and may be used as a tool for the identification of patients that could benefit from cardiac resynchronization therapy (CRT). In a previous work, we used Factor Analysis of Dynamic Structures (FADS) to analyze the contribution and spatial distribution of the 3 most significant factors (3-MSF) present in a dynamic series of equilibrium radionuclide angiography images. In this work, a probability density function model of the 3-MSF extracted from FADS for a control group is presented; also an index, based on the likelihood between the control group's contraction model and a sample of normal subjects is proposed. This normality index was compared with those computed for two cardiopathic populations, satisfying the clinical criteria to be considered as candidates for a CRT. The proposed normality index provides a measure, consistent with the phase analysis currently used in clinical environment, sensitive enough to show contraction differences between normal and abnormal groups, which suggests that it can be related to the degree of severity in the ventricular contraction dyssynchrony, and therefore shows promise as a follow-up procedure for patients under CRT.

Indexed as

AlgorithmsCardiac Resynchronization TherapyCardiomyopathy, DilatedComputational BiologyFactor Analysis, StatisticalFourier AnalysisGated Blood-Pool ImagingHeart FailureHumansModels, StatisticalMyocardial ContractionVentricular Dysfunction, LeftVentricular Function

Identifiers

PMID23634177
PMCPMC3619624
OpenAlexW1970885963

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.