Evidence map›Paper›PMID 37503114›Full record

ArticleResearch square2023

Multichannel Resonant Acoustic Rheometry System for Rapid and Efficient Quantification of Human Plasma Coagulation.

Christina Hendren, Weiping Li, Jan P Stegemann, Timothy L Hall, Cheri X Deng

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Christina HendrenDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Weiping LiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Jan P StegemannDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Timothy L HallDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-4867-2856
Cheri X DengDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-5445-1056

Funding

Microscale Mechanobiology for Musculoskeletal Tissue Engineering using Advanced Ultrasound TechniquesR01DE026630 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DENG, CHERI X, STEGEMANN, JAN P. · 2017 to 2021
$1.8M
NIDCR NIH HHS R01 DE026630
6 · The paper itself

Abstract

Resonant Acoustic Rheometry (RAR), a newly developed ultrasound-based technique for non-contact characterization of soft viscoelastic materials, has shown promise for quantitative assessment of plasma coagulation by monitoring the entire dynamic process in real time. Here, we report the development of a multichannel RAR (mRAR) system for simultaneous monitoring of the coagulation of multiple small-volume plasma samples, a capability that is critical to efficiently provide improved assessment of coagulation. The mRAR system was constructed using an array of 4 custom-designed ultrasound transducers at 5.0 MHz and an electronic driving system that controlled the generation of synchronized ultrasound pulses for real time monitoring of multiple samples simultaneously. The mRAR system was tested using Coumadin-treated plasma samples with a range of International Normalized Ratio (INR) values, as well as normal pooled plasma samples. Tracking of dynamic changes in clotting of plasma samples triggered by either kaolin or tissue factor was performed for the entire duration of coagulation. The mRAR system captured distinct changes in the samples and identified parameters including clotting time, clotting speed, and the mechanical properties of the clots that were consistent with Coumadin dose and INR levels Data from this study demonstrate the feasibility of the mRAR system for the rapid, efficient, and accurate characterization of plasma coagulation.

Indexed as

Coumadin monitoringHemostasisplasma coagulationResonant acoustic rheometryThromboelastography

Identifiers

PMID37503114
PMCPMC10371129

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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.