Evidence map›Paper›PMID 28733956›Full record

ReviewNeurology and therapy2017

Amyloid Beta and Tau as Alzheimer's Disease Blood Biomarkers: Promise From New Technologies.

Lih-Fen Lue, Andre Guerra, Douglas G Walker

Open access · goldAbstract readReview
In one paragraph

Review in Neurology and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 116 citations in OpenAlex.

  1. Blood-based biomarkers for Alzheimer's disease in Down syndrome: A systematic review and meta-analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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 1 institution in 1 country.

Lih-Fen LueBanner-ASU Neurodegenerative Disease Research Center, Biodesign Institute, Arizona State University, Tempe, AZ, USA. Lih-Fen.lue@asu.edu.
Andre GuerraBanner-ASU Neurodegenerative Disease Research Center, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Douglas G WalkerBanner-ASU Neurodegenerative Disease Research Center, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Arizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utility of the levels of amyloid beta (Aβ) peptide and tau in blood for diagnosis, drug development, and assessment of clinical trials for Alzheimer's disease (AD) has not been established. The lack of availability of ultra-sensitive assays is one critical issue that has impeded progress. The levels of Aβ species and tau in plasma and serum are much lower than levels in cerebrospinal fluid. Furthermore, plasma or serum contain high levels of assay-interfering factors, resulting in difficulties in the commonly used singulex or multiplex ELISA platforms. In this review, we focus on two modern immune-complex-based technologies that show promise to advance this field. These innovative technologies are immunomagnetic reduction technology and single molecule array technology. We describe the technologies and discuss the published studies using these technologies. Currently, the potential of utilizing these technologies to advance Aβ and tau as blood-based biomarkers for AD requires further validation using already collected large sets of samples, as well as new cohorts and population-based longitudinal studies.

Indexed as

Alzheimer’s diseaseAmyloid betaBlood biomarkersPlasmaTauUltra-sensitive technology

Identifiers

PMID28733956
PMCPMC5520820
OpenAlexW2736708071

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.