Evidence map›Paper›PMID 37374847›Full record

ArticleMicromachines2023

SiC Electrochemical Sensor Validation for Alzheimer Aβ

Brayan Montero-Arevalo, Bianca I Seufert, Mohammad S Hossain, Evans Bernardin, Arash Takshi, Stephen E Saddow, Norelli Schettini

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 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
1.2field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 2 countries.

Brayan Montero-ArevaloDepartment of Electrical and Electronic Engineering, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-8617-6685
Bianca I SeufertDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA.
Mohammad S HossainDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA.
Evans BernardinDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA.
Arash TakshiDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0002-4582-8077
Stephen E SaddowDepartment of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0001-7141-8146
Norelli SchettiniDepartment of Electrical and Electronic Engineering, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-6725-4959
University of South Florida · USUniversidad del Norte · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease with only late-stage detection; thus, diagnosis is made when it is no longer possible to treat the disease, only its symptoms. Consequently, this often leads to caregivers who are the patient's relatives, which adversely impacts the workforce along with severely diminishing the quality of life for all involved. It is, therefore, highly desirable to develop a fast, effective and reliable sensor to enable early-stage detection in an attempt to reverse disease progression. This research validates the detection of amyloid-beta 42 (Aβ

Indexed as

Alzheimer sensorAβ-42 detectionbiosensorCyclic Voltammetry (CV)Electrochemical Impedance Spectroscopy (EIS)electrochemical sensorgold electrodeSilicon-Carbide (SiC) electrode

Identifiers

PMID37374847
PMCPMC10301620
OpenAlexW4380988102

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.