Evidence map›Paper›PMID 32174051›Full record

ReviewDementia and neurocognitive disorders2020

Alzheimer's Disease Diagnosis Using Misfolding Proteins in Blood.

HeeYang Lee, Daniella Ugay, Seungpyo Hong, YoungSoo Kim

Open access · diamondAbstract readReview
In one paragraph

Review in Dementia and neurocognitive disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 14 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

4 authors at 1 institution in 2 countries.

HeeYang LeeIntegrated Science Engineering Division, Yonsei University, Incheon, Korea.ORCID https://orcid.org/0000-0002-5935-7800
Daniella UgayIntegrated Science Engineering Division, Yonsei University, Incheon, Korea.ORCID https://orcid.org/0000-0001-9485-758X
Seungpyo HongDepartment of Pharmacy, Yonsei University, Incheon, Korea.ORCID https://orcid.org/0000-0001-9870-031X
YoungSoo KimIntegrated Science Engineering Division, Yonsei University, Incheon, Korea.ORCID https://orcid.org/0000-0001-5029-7082
Yonsei University · KR

Funding

Korea Health Industry Development Institute HI14C3319National Research Foundation of Korea NRF-2018M3C7A1021858National Research Foundation of Korea NRF-2018R1A6A1A03023718Yonsei University 2018-22-0022
6 · The paper itself

Abstract

Alzheimer's disease (AD) is pathologically characterized by a long progressive phase of neuronal changes, including accumulation of extracellular amyloid-β (Aβ) and intracellular neurofibrillary tangles, before the onset of observable symptoms. Many efforts have been made to develop a blood-based diagnostic method for AD by incorporating Aβ and tau as plasma biomarkers. As blood tests have the advantages of being highly accessible and low cost, clinical implementation of AD blood tests would provide preventative screening to presymptomatic individuals, facilitating early identification of AD patients and, thus, treatment development in clinical research. However, the low concentration of AD biomarkers in the plasma has posed difficulties for accurate detection, hindering the development of a reliable blood test. In this review, we introduce three AD blood test technologies emerging in South Korea, which have distinctive methods of heightening detection sensitivity of specific plasma biomarkers. We discuss in detail the multimer detection system, the self-standard analysis of Aβ biomarkers quantified by interdigitated microelectrodes, and a biomarker ratio analysis comprising Aβ and tau.

Indexed as

Alzheimer's DiseaseAmyloid-beta PeptidesBiomarkersDiagnostic Techniques and ProceduresPlasmatau Proteins

Identifiers

PMID32174051
PMCPMC7105719
OpenAlexW3011485854

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.