Evidence map›Paper›PMID 33187336›Full record

ReviewJournal of personalized medicine2020

Fluid Candidate Biomarkers for Alzheimer's Disease: A Precision Medicine Approach.

Eleonora Del Prete, Maria Francesca Beatino, Nicole Campese, Linda Giampietri, Gabriele Siciliano, Roberto Ceravolo, Filippo Baldacci

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Therapeutic Potential ofJournal of inflammation research · 2026
    Review
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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

7 authors at 1 institution in 1 country.

Eleonora Del PreteNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Maria Francesca BeatinoNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Nicole CampeseNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Linda GiampietriNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Gabriele SicilianoNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Roberto CeravoloNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.
Filippo BaldacciNeurology Unit, Clinical and Experimental Medicine Department, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-8752-0556
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A plethora of dynamic pathophysiological mechanisms underpins highly heterogeneous phenotypes in the field of dementia, particularly in Alzheimer's disease (AD). In such a faceted scenario, a biomarker-guided approach, through the implementation of specific fluid biomarkers individually reflecting distinct molecular pathways in the brain, may help establish a proper clinical diagnosis, even in its preclinical stages. Recently, ultrasensitive assays may detect different neurodegenerative mechanisms in blood earlier. ß-amyloid (Aß) peptides, phosphorylated-tau (p-tau), and neurofilament light chain (NFL) measured in blood are gaining momentum as candidate biomarkers for AD. P-tau is currently the more convincing plasma biomarker for the diagnostic workup of AD. The clinical role of plasma Aβ peptides should be better elucidated with further studies that also compare the accuracy of the different ultrasensitive techniques. Blood NFL is promising as a proxy of neurodegeneration process

Indexed as

Alzheimer’s diseasebiomarkerscerebrospinal fluidmild cognitive impairmentneurodegenerationneurofilament light chainneuroinflammationsynaptic biomarkers

Identifiers

PMID33187336
PMCPMC7712586
OpenAlexW3101748646

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.