Evidence map›Paper›PMID 29205172›Full record

ArticlePhysiological measurement2018

A data-driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults.

Michael J Durka, Isaac H Wong, David F Kallmes, Dario Pasalic, Fernando Mut, Manoj Jagani, Pablo J Blanco, Juan R Cebral, Anne M Robertson

Open access · greenAbstract read
In one paragraph

Article in Physiological measurement, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.International journal for numerical methods in biomedical engineering · 2024
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  13. Hemodynamics in aneurysm blebs with different wall characteristics.Journal of neurointerventional surgery · 2021
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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

9 authors at 5 institutions in 2 countries.

Michael J DurkaDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Isaac H WongDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
David F KallmesDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Dario PasalicMD Anderson Cancer Center, Mayo Clinic School of Medicine, Houston, Texas, United States of America.
Fernando MutDepartment of Bioengineering, George Mason University, Fairfax, Virginia, United States of America.
Manoj JaganiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.
Pablo J BlancoNational Laboratory for Scientific Computing, (LNCC/MCTIC), Getúlio Vargas Avenue 333, Petrópolis, 25651-075, Brazil.
Juan R CebralDepartment of Bioengineering, George Mason University, Fairfax, Virginia, United States of America.
Anne M RobertsonDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-5063-4293
University of Pittsburgh · USGeorge Mason University · USMayo Clinic · USLaboratório Nacional de Computação Científica · BRThe University of Texas MD Anderson Cancer Center · US

Funding

Improving Cerebral Aneurysm Risk Assessment through Understanding Wall Vulnerability and Failure ModesR01NS097457 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CEBRAL, JUAN R, ROBERTSON, ANNE MARIE · 2016 to 2025
$6.0M
Translational, multimodality correlation between human and rabbit saccular aneurysmsR21NS088256 · NINDS · MAYO CLINIC ROCHESTER · PI KALLMES, DAVID F, ROBERTSON, ANNE MARIE · 2015 to 2016
$431k
NINDS NIH HHS R01 NS097457NINDS NIH HHS R21 NS088256
6 · The paper itself

Abstract

objectiveBlood flow waveforms-essential data for hemodynamic modeling-are often in practice unavailable to researchers. The objectives of this work were to assess the variability among the waveforms for a clinically relevant older population, and develop data-based methods for addressing the missing waveform data for hemodynamic studies. APPROACH: We analyzed 272 flow waveforms from the internal carotid arteries of older patients (73  ±  13 yr) with moderate cardiovascular disease, and used these data to develop methods to guide new approaches for hemodynamic studies. MAIN

resultsProfound variations in waveform parameters were found within the aged population that were not seen in published data for young subjects. Common features in the aged population relative to the young included a larger systole-to-diastole flow rate ratio, increased flow during late systole, and absence of a dicrotic notch. Eight waveforms were identified that collectively represent the range of waveforms in the older population. A relationship between waveform shape and flow rate was obtained that, in conjunction with equations relating flow rate to diameter, can be used to provide individualized waveforms for patient-specific geometries. The dependence of flow rate on diameter was statistically different between male and female patients. SIGNIFICANCE: It was shown that a single archetypal waveform cannot well-represent the diverse waveforms found within an aged population, although this approach is frequently used in studies of flow in the cerebral vasculature. Motivated by these results, we provided a set of eight waveforms that can be used to assess the hemodynamic uncertainty associated with the lack of patient-specific waveform data. We also provided a methodology for generating individualized waveforms when patient gender, age, and cardiovascular disease state are known. These data-driven approaches can be used to devise more relevant in vitro or in silico intra-cranial hemodynamic studies for older patients.

Indexed as

Cerebrovascular CirculationAgedAged, 80 and overCerebral ArteriesFemaleHumansMaleMiddle AgedSoftwareUltrasonography, Doppler

Identifiers

PMID29205172
PMCPMC5811231
OpenAlexW2774459793

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.