Evidence map›Paper›PMID 32664352›Full record

ReviewJournal of personalized medicine2020

Molecular and Imaging Biomarkers in Alzheimer's Disease: A Focus on Recent Insights.

Chiara Villa, Marialuisa Lavitrano, Elena Salvatore, Romina Combi

Abstract 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 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Chiara VillaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-2730-5974
Marialuisa LavitranoSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-4852-1318
Elena SalvatoreDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, Federico II University, 80131 Naples, Italy.
Romina CombiSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-1742-6078

Funding

Italian Ministry for University and Scientific Research PON_ ARS01_00144
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease among the elderly, affecting millions of people worldwide and clinically characterized by a progressive and irreversible cognitive decline. The rapid increase in the incidence of AD highlights the need for an easy, efficient and accurate diagnosis of the disease in its initial stages in order to halt or delay the progression. The currently used diagnostic methods rely on measures of amyloid-β (Aβ), phosphorylated (p-tau) and total tau (t-tau) protein levels in the cerebrospinal fluid (CSF) aided by advanced neuroimaging techniques like positron emission tomography (PET) and magnetic resonance imaging (MRI). However, the invasiveness of these procedures and the high cost restrict their utilization. Hence, biomarkers from biological fluids obtained using non-invasive methods and novel neuroimaging approaches provide an attractive alternative for the early diagnosis of AD. Such biomarkers may also be helpful for better understanding of the molecular mechanisms underlying the disease, allowing differential diagnosis or at least prolonging the pre-symptomatic stage in patients suffering from AD. Herein, we discuss the advantages and limits of the conventional biomarkers as well as recent promising candidates from alternative body fluids and new imaging techniques.

Indexed as

Alzheimer’s diseaseamyloid betabiomarkercerebrospinal fluidneuroimaging

Identifiers

PMID32664352
PMCPMC7565667

What Socratic holds

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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.