Evidence map›Paper›PMID 32863779›Full record

ArticleIEEE sensors journal2019

Flow Rate and Raspberry Pi-based Paper Microfluidic Blood Coagulation Assay Device.

Robin E Sweeney, Vina Nguyen, Benjamin Alouidor, Elizabeth Budiman, Raymond K Wong, Jeong-Yeol Yoon

Abstract read
In one paragraph

Article in IEEE sensors journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  3. Review
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  6. Review
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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.

Robin E SweeneyDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA; Unchained Labs, Pleasanton, CA, USA.
Vina NguyenPerfusion Sciences Graduate Program, Department of Medical Pharmacology, The University of Arizona College of Medicine, Tucson, AZ 85721, USA; Pacific Life Lines, San Carlos, CA, USA.
Benjamin AlouidorPerfusion Sciences Graduate Program, Department of Medical Pharmacology, The University of Arizona College of Medicine, Tucson, AZ 85721, USA; Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Elizabeth BudimanDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA.
Raymond K WongPerfusion Sciences Graduate Program, Department of Medical Pharmacology, The University of Arizona College of Medicine, Tucson, AZ 85721, USA.
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA`.

Funding

Cardiovascular Biomedical Engineering Training GrantT32HL007955 · NHLBI · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2001 to 2020
$5.1M
NHLBI NIH HHS T32 HL007955
6 · The paper itself

Abstract

Monitoring blood coagulation in response to an anticoagulant (heparin) and its reversal agent (protamine) is essential during and after surgery, especially with cardiopulmonary bypass (CPB). A current clinical standard is the use of activated clotting time (ACT), where the mechanical movement of a plunger through a whole blood-filled channel is monitored to evaluate the endpoint time of coagulation. As a rapid, simple, low-volume, and cost-effective alternative, we have developed a paper microfluidic assay and Raspberry Pi-based device with the aim of quantifying the extent of blood coagulation in response to varying doses of heparin and protamine. The flow rate of blood through the paper microfluidic channel is automatically monitored using Python-coded edge detection algorithm. For each set of assay, 8

Indexed as

blood coagulationheparinpaper microfluidicsprotamineRaspberry Pi

Identifiers

PMID32863779
PMCPMC7450985

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.