Evidence map›Paper›PMID 32998305›Full record

ReviewMicromachines2020

Lab-on-a-Chip for Cardiovascular Physiology and Pathology.

Sean Beverung, Jingwen Wu, Robert Steward

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Mechanical Stimulation: A Crucial Element of Organ-on-Chip Models.Frontiers in bioengineering and biotechnology · 2020
    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

3 authors at 1 institution in 1 country.

Sean BeverungDepartment of Mechanical and Aerospace Engineering, Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32816, USA.
Jingwen WuDepartment of Mechanical and Aerospace Engineering, Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32816, USA.
Robert StewardDepartment of Mechanical and Aerospace Engineering, Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL 32816, USA.
University of Central Florida · US

Funding

Endothelial Cell Mechanical Dysfunction in Early Stage AtherosclerosisK25HL132098 · NHLBI · UNIVERSITY OF CENTRAL FLORIDA · PI STEWARD, ROBERT · 2016 to 2020
$737k
NHLBI NIH HHS K25HL132098
6 · The paper itself

Abstract

Lab-on-a-chip technologies have allowed researchers to acquire a flexible, yet relatively inexpensive testbed to study one of the leading causes of death worldwide, cardiovascular disease. Cardiovascular diseases, such as peripheral artery disease, arteriosclerosis, and aortic stenosis, for example, have all been studied by lab-on-a-chip technologies. These technologies allow for the integration of mammalian cells into functional structures that mimic vital organs with geometries comparable to those found in vivo. For this review, we focus on microdevices that have been developed to study cardiovascular physiology and pathology. With these technologies, researchers can better understand the electrical-biomechanical properties unique to cardiomyocytes and better stimulate and understand the influence of blood flow on the human vasculature. Such studies have helped increase our understanding of many cardiovascular diseases in general; as such, we present here a review of the current state of the field and potential for the future.

Indexed as

cardiovascular diseasecell culturelab-on-a-chipmicrofluidics

Identifiers

PMID32998305
PMCPMC7600691
OpenAlexW3088168322

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.