- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2261
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Predictors of positive response to cardiac resynchronization therapy ; volume:14 ; number:1 ; day:29 ; month:4 ; year:2014 ; pages:1-8 ; date:12.2014
BMC cardiovascular disorders ; 14, Heft 1 (29.4.2014), 1-8, 12.2014
- Creator
-
Rinkuniene, Diana
- Contributor
-
Bucyte, Silvija
Ceseviciute, Kristina
Abramavicius, Silvijus
Baronaite-Dudoniene, Kristina
Laukaitiene, Jolanta
Kazakevicius, Tomas
Zabiela, Vytautas
Sileikis, Vytautas
Puodziukynas, Aras
Jurkevicius, Renaldas
SpringerLink (Online service)
- DOI
-
10.1186/1471-2261-14-55
- URN
-
urn:nbn:de:1111-2016032615497
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rinkuniene, Diana
- Bucyte, Silvija
- Ceseviciute, Kristina
- Abramavicius, Silvijus
- Baronaite-Dudoniene, Kristina
- Laukaitiene, Jolanta
- Kazakevicius, Tomas
- Zabiela, Vytautas
- Sileikis, Vytautas
- Puodziukynas, Aras
- Jurkevicius, Renaldas
- SpringerLink (Online service)
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Predictors of response to cardiac resynchronization therapy on pre-implantation cardiovascular magnetic resonance imaging
Predictors of response to cardiac resynchronization therapy in patients with chronic right ventricular pacing
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Low fibrosis biomarker levels predict cardiac resynchronization therapy response
Circulating metabolite profiles to predict response to cardiac resynchronization therapy
Galectin-3 predicts response and outcomes after cardiac resynchronization therapy
Pulmonary perfusion and NYHA classification improve after cardiac resynchronization therapy
Cardiac Resynchronization Therapy in Women
Computational Modeling for Cardiac Resynchronization Therapy
Computer assisted optimization of cardiac resynchronization therapy
An unusual failure of cardiac resynchronization therapy
Computer assisted optimization of cardiac resynchronization therapy
Predictors of response to cardiac resynchronization therapy on pre-implantation cardiovascular magnetic resonance imaging
Predictors of response to cardiac resynchronization therapy in patients with chronic right ventricular pacing
Cardiac resynchronization therapy guided by cardiovascular magnetic resonance
Low fibrosis biomarker levels predict cardiac resynchronization therapy response
Circulating metabolite profiles to predict response to cardiac resynchronization therapy
Galectin-3 predicts response and outcomes after cardiac resynchronization therapy