Evidence map›Paper›PMID 31799426›Full record

ArticleCommunications biology2019

Evaluation of human obstructive sleep apnea using computational fluid dynamics.

Shahab Taherian, Hamid Rahai, Samuel Lopez, Jamie Shin, Behrouz Jafari

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2019. 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
1.2field-weighted citation impact, top 21% 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, 38 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

5 authors at 2 institutions in 1 country.

Shahab Taherian1Center for Energy and Environmental Research and Services, California State University Long Beach, Long Beach, CA USA.
Hamid Rahai1Center for Energy and Environmental Research and Services, California State University Long Beach, Long Beach, CA USA.
Samuel Lopez1Center for Energy and Environmental Research and Services, California State University Long Beach, Long Beach, CA USA.
Jamie Shin1Center for Energy and Environmental Research and Services, California State University Long Beach, Long Beach, CA USA.
Behrouz Jafari2Department of Internal Medicine, University of California Irvine School of Medicine, Irvine, CA USA.
California State University, Long Beach · USUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) severity might be correlated to the flow characteristics of the upper airways. We aimed to investigate the severity of OSA based on 3D models constructed from CT scans coupled with computational fluid dynamics (CFD) simulations. The CT scans of seven adult patients diagnosed with OSA were used to reconstruct the 3D models of the upper airways and CFD modeling and analyses were performed. Results from the fluid simulations were compared with the apnea-hypopnea index. Here we show a correlation between a CFD-based parameter, the adjusted pressure coefficient (Cp*), and the respective apnea-hypopnea index (Pearson's r = 0.91, p = 0.004), which suggests that the anatomical-based model coupled with CFD could provide functional and localized information for different regions of the upper airways.

Indexed as

BiomarkersModels, BiologicalAlgorithmsHumansImaging, Three-DimensionalPolysomnographySeverity of Illness IndexSleep Apnea, ObstructiveTomography, X-Ray ComputedTranslational Research, BiomedicalWorkflowBiomarkersComputational modelsDiagnostic markersTranslational research

Identifiers

PMID31799426
PMCPMC6872714
OpenAlexW2990552326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.