Evidence map›Paper›PMID 31223333›Full record

ArticleComputational and mathematical methods in medicine2019

Model-Based Quantification of Left Ventricular Diastolic Function in Critically Ill Patients with Atrial Fibrillation from Routine Data: A Feasibility Study.

Nicholas Kiefer, Maximilian J Oremek, Andreas Hoeft, Sven Zenker

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. 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
0.2field-weighted citation impact, top 46% 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

4 authors at 1 institution in 1 country.

Nicholas KieferDepartment of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.
Maximilian J OremekApplied Mathematical Physiology (AMP) Lab, Department of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.ORCID 0000-0001-5959-7735
Andreas HoeftDepartment of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.ORCID 0000-0001-5568-4604
Sven ZenkerDepartment of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.ORCID 0000-0003-0774-0725
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLeft ventricular diastolic dysfunction (LVDD) and atrial fibrillation (AF) are connected by pathophysiology and prevalence. LVDD remains underdiagnosed in critically ill patients despite potentially significant therapeutic implications since direct measurement cannot be performed in routine care at the bedside, and echocardiographic assessment of LVDD in AF is impaired. We propose a novel approach that allows us to infer the diastolic stiffness,

methodsBy employing a global optimization algorithm,

resultsEstimation was successful in 15 of 17 AF patients, while in the 3 SR patients, no reliable estimation was possible. For both models, the inferred

conclusionThe proposed approach successfully inferred

Indexed as

Critical IllnessDiastoleSignal Processing, Computer-AssistedVentricular Function, LeftAdolescentAdultAgedAlgorithmsAtrial FibrillationChildEchocardiographyElectrocardiographyFeasibility StudiesHumansInternetLikelihood Functions

Identifiers

PMID31223333
PMCPMC6541946
OpenAlexW2944844106

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.