Evidence map›Paper›PMID 35455054›Full record

ArticleLife (Basel, Switzerland)2022

Validation of Intrinsic Left Ventricular Assist Device Data Tracking Algorithm for Early Recognition of Centrifugal Flow Pump Thrombosis.

Christoph Gross, Kamen Dimitrov, Julia Riebandt, Dominik Wiedemann, Günther Laufer, Heinrich Schima, Francesco Moscato, Michael C Brown, Abhijit Kadrolkar, Robert W Stadler and 2 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. 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
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.

  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

12 authors.

Christoph GrossDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1583-5783
Kamen DimitrovDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-5887-294X
Julia RiebandtDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8601-9989
Dominik WiedemannDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-2055-8293
Günther LauferDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Heinrich SchimaDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.
Francesco MoscatoLudwig Boltzmann Institute for Cardiovascular Research, 1020 Vienna, Austria.
Michael C BrownMedtronic Inc., Minneapolis, MN 55432, USA.ORCID 0000-0002-2763-915X
Abhijit KadrolkarMedtronic Inc., Minneapolis, MN 55432, USA.
Robert W StadlerMedtronic Inc., Minneapolis, MN 55432, USA.
Daniel ZimpferDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-2185-4895
Thomas SchlöglhoferDepartment of Cardiac Surgery, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-4354-4860

Funding

Medtronic (USA) ERP-2020-12273
6 · The paper itself

Abstract

Advanced stage heart failure patients can benefit from the unloading effects of an implantable left ventricular assist device. Despite best clinical practice, LVADs are associated with adverse events, such as pump thrombosis (PT). An adaptive algorithm alerting when an individual's appropriate levels in pump power uptake are exceeded, such as in the case of PT, can improve therapy of patients implanted with a centrifugal LVAD. We retrospectively studied 75 patients implanted with a centrifugal LVAD in a single center. A previously optimized adaptive pump power-tracking algorithm was compared to clinical best practice and clinically available constant threshold algorithms. Algorithm performances were analyzed in a PT group (

Indexed as

left ventricular assist devicesmechanical circulatory supportpatient monitoringpump thrombosis

Identifiers

PMID35455054
PMCPMC9027619

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.