Evidence map›Paper›PMID 37998162›Full record

ReviewBiosensors2023

Alzheimer's Disease Biomarker Detection Using Field Effect Transistor-Based Biosensor.

Phan Gia Le, Seong Hye Choi, 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 23 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

3 authors at 2 institutions in 1 country.

Phan Gia LeDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.
Seong Hye ChoiDepartment of Neurology, College of Medicine, Inha University, Incheon 22332, Republic of Korea.
Sungbo ChoDepartment of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.ORCID 0000-0003-3839-6410
Gachon University · KRInha University · KR

Funding

Gachon University Research Fund of 2023 and Ministry of Science and ICT, Republic of Korea GCU-202303970001 and NRF-2020M3E5D2A01084721
6 · The paper itself

Abstract

Alzheimer's disease (AD) is closely related to neurodegeneration, leading to dementia and cognitive impairment, especially in people aged > 65 years old. The detection of biomarkers plays a pivotal role in the diagnosis and treatment of AD, particularly at the onset stage. Field-effect transistor (FET)-based sensors are emerging devices that have drawn considerable attention due to their crucial ability to recognize various biomarkers at ultra-low concentrations. Thus, FET is broadly manipulated for AD biomarker detection. In this review, an overview of typical FET features and their operational mechanisms is described in detail. In addition, a summary of AD biomarker detection and the applicability of FET biosensors in this research field are outlined and discussed. Furthermore, the trends and future prospects of FET devices in AD diagnostic applications are also discussed.

Indexed as

Alzheimer DiseaseBiosensing TechniquesCognitive DysfunctionAgedAmyloid beta-PeptidesBiomarkersHumanstau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseamyloid betabiomarkerselectrochemical sensorfield-effect transistor (FET)tau

Identifiers

PMID37998162
PMCPMC10669709
OpenAlexW4388760302

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.