Evidence map›Paper›PMID 37445543›Full record

ArticleJournal of clinical medicine2023

Visualization of the SyncAV

Philipp Spitaler, Bernhard Erich Pfeifer, Agnes Mayr, Rudolf Bachler, Valentin Bilgeri, Agne Adukauskaite, Axel Bauer, Markus Stühlinger, Fabian Barbieri, Wolfgang Dichtl

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 3 institutions in 2 countries.

Philipp SpitalerDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-5908-2923
Bernhard Erich PfeiferInstitute of Clinical Epidemiology, Tirol Kliniken, 6020 Innsbruck, Austria.ORCID 0000-0003-1507-1015
Agnes MayrDepartment of Radiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Rudolf BachlerAbbott Austria, Perfektastrasse 84a, 1230 Wien, Austria.
Valentin BilgeriDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Agne AdukauskaiteDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Axel BauerDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Markus StühlingerDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0003-1324-0815
Fabian BarbieriDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0003-4456-1822
Wolfgang DichtlDepartment of Internal Medicine III, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-0421-2110
Innsbruck Medical University · ATAbbott (Austria) · ATUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · AT

Funding

Abbott (Austria) unrestricted educational grant provided to the hospital
6 · The paper itself

Abstract

(1) Background: Periodic repetitive AV interval optimization using a device-based algorithm in cardiac resynchronization therapy (CRT) devices may improve clinical outcomes. There is an unmet need to successfully transform its application into clinical routine. (2) Methods: Non-invasive imaging of cardiac electrophysiology was performed in different device programming settings of the SyncAV

Indexed as

CRT optimizationdevice programmingdynamic AV delayfusion pacingleft bundle branch block

Identifiers

PMID37445543
PMCPMC10342787
OpenAlexW4383375942

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.