Evidence map›Paper›PMID 33343876›Full record

ArticleInterface focus2021

The EurValve model execution environment.

M Bubak, K Czechowicz, T Gubała, D R Hose, M Kasztelnik, M Malawski, J Meizner, P Nowakowski, S Wood

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

Article in Interface focus, 2021. 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
1.8field-weighted citation impact, top 8% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

9 authors at 3 institutions in 2 countries.

M BubakDepartment of Computer Science, AGH University of Science and Technology, Kraków, Poland.
K CzechowiczDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
T GubałaACC Cyfronet AGH University of Science and Technology, Kraków, Poland.
D R HoseDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
M KasztelnikACC Cyfronet AGH University of Science and Technology, Kraków, Poland.
M MalawskiDepartment of Computer Science, AGH University of Science and Technology, Kraków, Poland.
J MeiznerACC Cyfronet AGH University of Science and Technology, Kraków, Poland.
P NowakowskiACC Cyfronet AGH University of Science and Technology, Kraków, Poland.ORCID 0000-0002-2369-3685
S WoodMedical Physics and Clinical Engineering, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Krakow Cardiovascular Research Institute · PLUniversity of Sheffield · GBSheffield Teaching Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this paper is to present a dedicated high-performance computing (HPC) infrastructure which is used in the development of a so-called reduced-order model (ROM) for simulating the outcomes of interventional procedures which are contemplated in the treatment of valvular heart conditions. Following a brief introduction to the problem, the paper presents the design of a model execution environment, in which representative cases can be simulated and the parameters of the ROM fine-tuned to enable subsequent deployment of a decision support system without further need for HPC. The presentation of the system is followed by information concerning its use in processing specific patient cases in the context of the EurValve international collaboration.

Indexed as

decision support systemsmedical ITpersonalized medicine

Identifiers

PMID33343876
PMCPMC7739915
OpenAlexW3111038094

What OpenQuestion holds

Textmetadata
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.