Evidence map›Paper›PMID 28922391›Full record

ArticlePloS one2017

Impedance biosensor for real-time monitoring and prediction of thrombotic individual profile in flowing blood.

Denise De Zanet, Monica Battiston, Elisabetta Lombardi, Ruben Specogna, Francesco Trevisan, Luigi De Marco, Antonio Affanni, Mario Mazzucato

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Denise De ZanetPolytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy.
Monica BattistonDepartment of Translational Research, Stem Cells Unit, National Cancer Institute CRO - IRCCS, Aviano, Pordenone, Italy.
Elisabetta LombardiDepartment of Translational Research, Stem Cells Unit, National Cancer Institute CRO - IRCCS, Aviano, Pordenone, Italy.
Ruben SpecognaPolytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy.
Francesco TrevisanPolytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy.
Luigi De MarcoDepartment of Translational Research, Stem Cells Unit, National Cancer Institute CRO - IRCCS, Aviano, Pordenone, Italy.
Antonio AffanniPolytechnic Department of Engineering and Architecture, University of Udine, Udine, Italy.
Mario MazzucatoDepartment of Translational Research, Stem Cells Unit, National Cancer Institute CRO - IRCCS, Aviano, Pordenone, Italy.ORCID http://orcid.org/0000-0001-8319-053X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new biosensor for the real-time analysis of thrombus formation is reported. The fast and accurate monitoring of the individual thrombotic risk represents a challenge in cardiovascular diagnostics and in treatment of hemostatic diseases. Thrombus volume, as representative index of the related thrombotic status, is usually estimated with confocal microscope at the end of each in vitro experiment, without providing a useful behavioral information of the biological sample such as platelets adhesion and aggregation in flowing blood. Our device has been developed to work either independently or integrated with the microscopy system; thus, images of the fluorescently labeled platelets are acquired in real-time during the whole blood perfusion, while the global electrical impedance of the blood sample is simultaneously monitored between a pair of specifically designed gold microelectrodes. Fusing optical and electrical data with a novel technique, the dynamic of thrombus formation events in flowing blood can be reconstructed in real-time, allowing an accurate extrapolation of the three-dimensional shape and the spatial distribution of platelet thrombi forming and growing within artificial capillaries. This biosensor is accurate and it has been used to discriminate different hemostatic conditions and to identify weakening and detaching platelet aggregates. The results obtained appear compatible with those quantified with the traditional optical method. With advantages in terms of small size, user-friendliness and promptness of response, it is a promising device for the fast and automatic individual health monitoring at the Point of Care (POC).

Indexed as

Biosensing TechniquesMonitoring, PhysiologicPoint-of-Care SystemsBlood PlateletsCold TemperatureElectric ImpedanceFemaleHumansMaleMicroelectrodesThrombosis

Identifiers

PMID28922391
PMCPMC5602635

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Registered trials

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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.