Evidence map›Paper›PMID 37622895›Full record

ReviewBiosensors2023

SAM-Support-Based Electrochemical Sensor for Aβ Biomarker Detection of Alzheimer's Disease.

Phan Gia Le, Hien T Ngoc Le, Hee-Eun Kim, Sungbo Cho

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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

4 authors at 1 institution in 1 country.

Phan Gia LeDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.
Hien T Ngoc LeDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.
Hee-Eun KimDepartment of Dental Hygiene, Gachon University, Incheon 21936, Republic of Korea.
Sungbo ChoDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.ORCID 0000-0003-3839-6410
Gachon University · KR

Funding

Gachon University GCU-202002710001, GCU-202303970001
6 · The paper itself

Abstract

Alzheimer's disease has taken the spotlight as a neurodegenerative disease which has caused crucial issues to both society and the economy. Specifically, aging populations in developed countries face an increasingly serious problem due to the increasing budget for patient care and an inadequate labor force, and therefore a solution is urgently needed. Recently, diverse techniques for the detection of Alzheimer's biomarkers have been researched and developed to support early diagnosis and treatment. Among them, electrochemical biosensors and electrode modification proved their effectiveness in the detection of the Aβ biomarker at appropriately low concentrations for practice and point-of-care application. This review discusses the production and detection ability of amyloid beta, an Alzheimer's biomarker, by electrochemical biosensors with SAM support for antibody conjugation. In addition, future perspectives on SAM for the improvement of electrochemical biosensors are also proposed and discussed.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesAmyloid beta-PeptidesAntibodiesBiomarkersHumansAmyloid beta-PeptidesAntibodiesBiomarkersAlzheimer’s diseaseelectrochemical detectionnanomaterialsself-assembled monolayer

Identifiers

PMID37622895
PMCPMC10452698
OpenAlexW4385758620

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.