Evidence map›Paper›PMID 25587348›Full record

ReviewComputational and mathematical methods in medicine2014

Human atrial cell models to analyse haemodialysis-related effects on cardiac electrophysiology: work in progress.

Elisa Passini, Simonetta Genovesi, Stefano Severi

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Elisa PassiniComputational Physiopathology Unit, Department of Electrical, Electronic, and Information Engineering, University of Bologna, Via Venezia 52, 47521 Cesena, Italy.ORCID 0000-0003-0116-6347
Simonetta GenovesiDepartment of Health Sciences, University of Milano Bicocca, Via Cadore 48, 20900 Monza, Italy.ORCID 0000-0002-4699-4149
Stefano SeveriComputational Physiopathology Unit, Department of Electrical, Electronic, and Information Engineering, University of Bologna, Via Venezia 52, 47521 Cesena, Italy.ORCID 0000-0003-4306-8294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During haemodialysis (HD) sessions, patients undergo alterations in the extracellular environment, mostly concerning plasma electrolyte concentrations, pH, and volume, together with a modification of sympathovagal balance. All these changes affect cardiac electrophysiology, possibly leading to an increased arrhythmic risk. Computational modeling may help to investigate the impact of HD-related changes on atrial electrophysiology. However, many different human atrial action potential (AP) models are currently available, all validated only with the standard electrolyte concentrations used in experiments. Therefore, they may respond in different ways to the same environmental changes. After an overview on how the computational approach has been used in the past to investigate the effect of HD therapy on cardiac electrophysiology, the aim of this work has been to assess the current state of the art in human atrial AP models, with respect to the HD context. All the published human atrial AP models have been considered and tested for electrolytes, volume changes, and different acetylcholine concentrations. Most of them proved to be reliable for single modifications, but all of them showed some drawbacks. Therefore, there is room for a new human atrial AP model, hopefully able to physiologically reproduce all the HD-related effects. At the moment, work is still in progress in this specific field.

Indexed as

Action PotentialsModels, CardiovascularAcetylcholineBiomarkersCalciumComputer SimulationElectrolytesHeart AtriaHumansHydrogen-Ion ConcentrationPotassiumRenal DialysisAcetylcholineBiomarkersCalciumElectrolytesPotassium

Identifiers

PMID25587348
PMCPMC4284940

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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.