Evidence map›Paper›PMID 30171350›Full record

ArticleEuropean journal of applied physiology2018

A multiscale model for the simulation of cerebral and extracerebral blood flows and pressures in humans.

Giacomo Gadda, Marcin Majka, Piotr Zieliński, Mauro Gambaccini, Angelo Taibi

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In one paragraph

Article in European journal of applied physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Effects of Venous Angioplasty on Cerebral Lesions in Multiple Sclerosis: Expanded Analysis of the Brave Dreams Double-Blind, Sham-Controlled Randomized Trial.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2020
    Trial
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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

5 authors at 2 institutions in 2 countries.

Giacomo GaddaDepartment of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 1, 44122, Ferrara, Italy.
Marcin MajkaInstitute of Nuclear Physics, Polish Academy of Sciences, Radzikowskiego 152, 31342, Kraków, Poland.
Piotr ZielińskiInstitute of Nuclear Physics, Polish Academy of Sciences, Radzikowskiego 152, 31342, Kraków, Poland.
Mauro GambacciniDepartment of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 1, 44122, Ferrara, Italy.
Angelo TaibiDepartment of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 1, 44122, Ferrara, Italy. taibi@fe.infn.it.
University of Ferrara · ITInstitute of Nuclear Physics, Polish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBrain hemodynamics is fundamental for the functioning of the human being. Many biophysical factors affect brain circulation, so that a satisfactory understanding of its behavior is challenging. We developed a mathematical model to simulate cerebral and extracerebral flows and pressures in humans.

methodsThe model is composed of an anatomically informed 1-D arterial network, and two 0-D networks of the cerebral circulation and brain drainage, respectively. It takes into account the pulse-wave transmission properties of the 55 main arteries and the main hydraulic and autoregulation mechanisms ensuring blood supply and drainage to the brain. Proper pressure outputs from the arterial 1-D model are used as input to the 0-D models, together with the contribution to venous pressure due to breathing that simulates the drainage effect of the thoracic pump.

resultsThe model we developed is able to link the arterial tree with the venous pathways devoted to the brain drainage, and to simulate important factors affecting cerebral circulation both for physiological and pathological conditions, such as breathing and hypo/hypercapnia. Finally, the average value of simulated flows and pressures is in agreement with the available experimental data.

conclusionsThe model has the potential to predict important clinical parameters before and after physiological and/or pathological changes.

Indexed as

Models, CardiovascularArteriesBlood PressureCerebrovascular CirculationComputer SimulationHemodynamicsHumansBreathingCerebral and extracerebral parametersCirculationMathematical modelingpressure change

Identifiers

PMID30171350
OpenAlexW2889171001

What Socratic 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 Socratic graph.