Evidence map›Paper›PMID 35494759›Full record

ArticleRSC advances2021

A label-free graphene-based impedimetric biosensor for real-time tracing of the cytokine storm in blood serum; suitable for screening COVID-19 patients.

Mohammad Ali Khayamian, Mohammad Salemizadeh Parizi, Mohammadreza Ghaderinia, Hamed Abadijoo, Shohreh Vanaei, Hossein Simaee, Saeed Abdolhosseini, Shahriar Shalileh, Mahsa Faramarzpour, Vahid Fadaei Naeini and 4 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. 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
1.1field-weighted citation impact, top 22% 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.

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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

14 authors at 4 institutions in 2 countries.

Mohammad Ali KhayamianNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.ORCID https://orcid.org/0000-0002-6825-0247
Mohammad Salemizadeh PariziNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Mohammadreza GhaderiniaNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Hamed AbadijooNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.ORCID https://orcid.org/0000-0001-8165-2737
Shohreh VanaeiNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Hossein SimaeeNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Saeed AbdolhosseiniNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Shahriar ShalilehNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Mahsa FaramarzpourNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
Vahid Fadaei NaeiniSchool of Mechanical Engineering, College of Engineering, University of Tehran Tehran 11155-4563 Iran.
Parisa HoseinpourSEPAS Pathology Lab P. O. Box 1991945391 Tehran Iran.
Fatemeh ShojaeianImam Hossein Clinical Research Development Center, Imam Hossein Hospital, Shahid Beheshti University of Medical Science Tehran Iran.
Fereshteh AbbasvandiATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR P. O. Box 15179/64311 Tehran Iran.
Mohammad AbdolahadNano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran P. O. Box 14395/515 Tehran Iran m.abdolahad@ut.ac.ir abdolahad@tums.ac.ir.
University of Tehran · IRAcademic Center for Education, Culture and Research · IRImam Hossein Hospital · IRLuleå University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concurrent with the pandemic announcement of SARS-CoV-2 infection by the WHO, a variety of reports were published confirming the cytokine storm as the most mortal effect of the virus on the infected patients. Hence, cytokine storm as an evidenced consequence in most of the COVID-19 patients could offer a promising opportunity to use blood as a disease progression marker. Here, we have developed a rapid electrochemical impedance spectroscopy (EIS) sensor for quantifying the overall immune activity of the patients. Since during the cytokine storm many types of cytokines are elevated in the blood, there is no need for specific detection of a single type of cytokine and the collective behavior is just measured without any electrode functionalization. The sensor includes a monolayer graphene on a copper substrate as the working electrode (WE) which is able to distinguish between the early and severe stage of the infected patients. The charge transfer resistance (

Identifiers

PMID35494759
PMCPMC9042719
OpenAlexW3209314141

What OpenQuestion holds

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LicenceCC BY-NC
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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.