Evidence map›Paper›PMID 32007361›Full record

ArticleMedical engineering & physics2020

A canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertension.

Senol Piskin, Sourav S Patnaik, David Han, Alifer D Bordones, Srinivas Murali, Ender A Finol

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

Article in Medical engineering & physics, 2020. 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
0.5field-weighted citation impact, top 32% 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, 7 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Senol PiskinDepartment of Mechanical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA; Department of Mechanical Engineering, Istinye University, Zeytinburnu, Istanbul 34010, Turkey.
Sourav S PatnaikDepartment of Mechanical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA. Electronic address: sourav.patnaik@utsa.edu.
David HanDepartment of Management Science and Statistics, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA. Electronic address: david.han@utsa.edu.
Alifer D BordonesDepartment of Biomedical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA. Electronic address: alifer.bordonesgonzalez@utsa.edu.
Srinivas MuraliDepartment of Radiology and Department of Cardiology, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA 15212, USA. Electronic address: srinivas.murali@ahn.org.
Ender A FinolDepartment of Mechanical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA. Electronic address: ender.finol@utsa.edu.
The University of Texas at San Antonio · USAllegheny Health Network · USIstinye University · TR

Funding

Geometric Surrogates for Clinical Management of Abdominal Aortic AneurysmsR01HL121293 · NHLBI · UNIVERSITY OF TEXAS SAN ANTONIO · PI FINOL, ENDER A · 2015 to 2018
$1.8M
NHLBI NIH HHS R01 HL121293
6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a progressive disease affecting approximately 10-52 cases per million, with a higher incidence in women, and with a high mortality associated with right ventricle (RV) failure. In this work, we explore the relationship between hemodynamic indices, calculated from in silico models of the pulmonary circulation, and clinical attributes of RV workload and pathological traits. Thirty-four patient-specific pulmonary arterial tree geometries were reconstructed from computed tomography angiography images and used for volume meshing for subsequent computational fluid dynamics (CFD) simulations. Data obtained from the CFD simulations were post-processed resulting in hemodynamic indices representative of the blood flow dynamics. A retrospective review of medical records was performed to collect the clinical variables measured or calculated from standard hospital examinations. Statistical analyses and canonical correlation analysis (CCA) were performed for the clinical variables and hemodynamic indices. Systolic pulmonary artery pressure (sPAP), diastolic pulmonary artery pressure (dPAP), cardiac output (CO), and stroke volume (SV) were moderately correlated with spatially averaged wall shear stress (0.60 ≤ R

Indexed as

HemodynamicsPatient-Specific ModelingAdultComputer SimulationDisease ProgressionHumansHypertension, PulmonaryImage Processing, Computer-AssistedTomography, X-Ray ComputedBlood damageComputational fluid dynamicsPulmonary compliancePulmonary vascular resistanceWall shear stress

Identifiers

PMID32007361
PMCPMC7069525
OpenAlexW3003798091

What OpenQuestion holds

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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.