Evidence map›Paper›PMID 35453843›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Fluid Biomarkers in Alzheimer's Disease and Other Neurodegenerative Disorders: Toward Integrative Diagnostic Frameworks and Tailored Treatments.

Linda Giampietri, Elisabetta Belli, Maria Francesca Beatino, Sara Giannoni, Giovanni Palermo, Nicole Campese, Gloria Tognoni, Gabriele Siciliano, Roberto Ceravolo, Ciro De Luca and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. 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
2.4field-weighted citation impact, top 11% 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, 21 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

11 authors at 3 institutions in 1 country.

Linda GiampietriNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1384-2691
Elisabetta BelliNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Maria Francesca BeatinoPsychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Sara GiannoniNeurology Unit, Ospedale San Giuseppe, 50053 Empoli, Italy.ORCID 0000-0003-0538-0412
Giovanni PalermoNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-9193-3150
Nicole CampeseNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Gloria TognoniNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Gabriele SicilianoNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Roberto CeravoloNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Ciro De LucaLaboratory of Morphology of Neuronal Network and Systems Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Napoli, Italy.ORCID 0000-0002-8146-5736
Filippo BaldacciNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-8752-0556
University of Pisa · ITOspedale San Giuseppe · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of neurodegenerative diseases (NDDs) represents an increasing social burden, with the unsolved issue of disease-modifying therapies (DMTs). The failure of clinical trials treating Alzheimer's Disease (AD) so far highlighted the need for a different approach in drug design and patient selection. Identifying subjects in the prodromal or early symptomatic phase is critical to slow down neurodegeneration, but the implementation of screening programs with this aim will have an ethical and social aftermath. Novel minimally invasive candidate biomarkers (derived from blood, saliva, olfactory brush) or classical cerebrospinal fluid (CSF) biomarkers have been developed in research settings to stratify patients with NDDs. Misfolded protein accumulation, neuroinflammation, and synaptic loss are the pathophysiological hallmarks detected by these biomarkers to refine diagnosis, prognosis, and target engagement of drugs in clinical trials. We reviewed fluid biomarkers of NDDs, considering their potential role as screening, diagnostic, or prognostic tool, and their present-day use in clinical trials (phase II and III). A special focus will be dedicated to novel techniques for the detection of misfolded proteins. Eventually, an applicative diagnostic algorithm will be proposed to translate the research data in clinical practice and select prodromal or early patients to be enrolled in the appropriate DMTs trials for NDDs.

Indexed as

alternative matricesclinical applicationdiagnostic algorithmliquid biomarkersneurodegenerationprecision medicineprotein misfolding amplification assays

Identifiers

PMID35453843
PMCPMC9029739
OpenAlexW4220973767

What Socratic 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 Socratic graph.