Evidence map›Paper›PMID 34819964›Full record

ArticlePostepy w kardiologii interwencyjnej = Advances in interventional cardiology2021

Correlation between electromechanical parameters (NOGA XP) and changes of myocardial ischemia in patients with refractory angina.

Radosław Kurzelowski, Kamil Barański, Guido Caluori, Wojciech Szot, Krzysztof Grabowski, Aleksandra Michalewska-Włudarczyk, Marcin Syzdół, Wacław Kuczmik, Anna Błach, Beata Ochała and 7 more

Open access · goldAbstract read
In one paragraph

Article in Postepy w kardiologii interwencyjnej = Advances in interventional cardiology, 2021. 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
0.1field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

17 authors at 5 institutions in 3 countries.

Radosław KurzelowskiDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Kamil BarańskiDepartment of Epidemiology, Medical University of Silesia, Katowice, Poland.
Guido CaluoriIHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Pessac, France.
Wojciech SzotDepartment of Nuclear Medicine, John Paul II Hospital, Jagiellonian University Medical College, Krakow, Poland.
Krzysztof GrabowskiDepartment of Robotics and Mechatronics, AGH University of Science and Technology, Krakow, Poland.
Aleksandra Michalewska-WłudarczykDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Marcin SyzdółDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Wacław KuczmikDepartment of General and Vascular Surgery, Medical University of Silesia, Katowice, Poland.
Anna BłachDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Beata OchałaDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Damian HudziakDepartment of Cardiac Surgery, Medical University of Silesia, Katowice, Poland.
Jacek WilczekDepartment of Electrocardiology and Heart Failure, Medical University of Silesia, Katowice, Poland.
Krzysztof S GołbaDepartment of Electrocardiology and Heart Failure, Medical University of Silesia, Katowice, Poland.
Zdenek StarekInterventional Cardiac Electrophysiology Group, International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
Michał TenderaDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Wojciech WojakowskiDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Tomasz JadczykDepartment of Cardiology and Structural Heart Disease, Medical University of Silesia, Katowice, Poland.
Medical University of Silesia · PLAGH University of Krakow · PLJagiellonian University · PLUniversité de Bordeaux · FRUniversity Hospital Brno · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCell therapy has the potential to improve symptoms and clinical outcomes in refractory angina (RFA). Further analyses are needed to evaluate factors influencing its therapeutic effectiveness.

aimAssessment of electromechanical (EM) parameters of the left ventricle (LV) and investigation of correlation between EM parameters of the myocardium and response to CD133+ cell therapy. MATERIAL AND

methodsThirty patients with RFA (16 active and 14 placebo individuals) enrolled in the REGENT-VSEL trial underwent EM evaluation of the LV with intracardiac mapping system. The following parameters were analyzed: unipolar voltage (UV), bipolar voltage (BV), local linear shortening (LLS). Myocardial ischemia was evaluated with single-photon emission computed tomography (SPECT). The median value of each EM parameter was used for intra-group comparisons.

resultsGlobal EM parameters (UV, BV, LLS) of LV in active and placebo groups were 11.28 mV, 3.58 mV, 11.12%, respectively; 13.00 mV, 3.81 mV, 11.32%, respectively. EM characteristics analyzed at global and segmental levels did not predict response to CD133+ cell therapy in patients with RFA (Global UV, BV and LLS at rest

conclusionsElectromechanical characteristics of the left ventricle do not predict changes of myocardial perfusion by SPECT after cell therapy. Baseline SPECT results are only predictors of changes of myocardial ischemia observed at 4-month follow-up.

Indexed as

CD133+cell therapyelectromechanical mappingNOGA XPrefractory angina

Identifiers

PMID34819964
PMCPMC8596713
OpenAlexW3201176621

What OpenQuestion holds

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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.