Evidence map›Paper›PMID 31029057›Full record

ArticleAging2019

Diagnostic performance of new and classic CSF biomarkers in age-related dementias.

Francesca Marchegiani, Giulia Matacchione, Deborah Ramini, Fiorella Marcheselli, Rina Recchioni, Tiziana Casoli, Elisa Mercuri, Marco Lazzarini, Belinda Giorgetti, Valentina Cameriere and 10 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 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

20 authors at 5 institutions in 2 countries.

Francesca MarchegianiCenter of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.
Giulia MatacchioneDepartment of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.
Deborah RaminiDepartment of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.
Fiorella MarcheselliCenter of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.
Rina RecchioniCenter of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.
Tiziana CasoliCenter for Neurobiology of Aging, IRCCS INRCA, Ancona, Italy.
Elisa MercuriDepartment of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.
Marco LazzariniDepartment of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy.
Belinda GiorgettiCenter for Neurobiology of Aging, IRCCS INRCA, Ancona, Italy.
Valentina CameriereNeurology Unit, IRCCS INRCA, Ancona, Italy.
Susy PaoliniNeurology Unit, IRCCS INRCA, Ancona, Italy.
Lucia PaciaroniNeurology Unit, IRCCS INRCA, Ancona, Italy.
Tommaso RossiNeurology Unit, IRCCS INRCA, Ancona, Italy.
Roberta GaleazziClinical Laboratory and Molecular Diagnostics, IRCCS INRCA, Ancona, Italy.
Rosamaria LisaScientific Direction, IRCCS INRCA, Ancona, Italy.
Anna Rita BonfigliScientific Direction, IRCCS INRCA, Ancona, Italy.
Antonio Domenico ProcopioCenter of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.
Maria De LucaDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Giuseppe Pelliccioni *Neurology Unit, IRCCS INRCA, Ancona, Italy.
Fabiola Olivieri *Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.
Istituto Nazionale di Riposo e Cura per Anziani · ITMarche Polytechnic University · ITInnova (Italy) · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of diagnostic-prognostic biomarkers of dementia has become a global priority due to the prevalence of neurodegenerative diseases in aging populations. The objective of this study was to assess the diagnostic performance of cerebrospinal fluid (CSF) biomarkers across patients affected by either Alzheimer's disease (AD), tauopathies other than AD (TP), or vascular dementia (VD), and cognitively normal subjects (CNS). One hundred fifty-three patients were recruited and tested for classical AD CSF biomarkers- Amyloid-ß42 and tau proteins - and novel candidate biomarkers - neurofilament (NF-) light and microRNA (miR) -21, -125b, -146a, and -222.All dementia patients had significantly higher concentrations of NF-light compared to CNS, with the TP group displaying the highest NF-light values. A significant inverse correlation was also observed between NF-light and cognitive impairment. Of the four miRNAs analyzed, miR-222 levels were significantly increased in VD patients compared to both CNS and AD. In addition, while NF-light showed a better diagnostic performance than miR-222 and classical AD biomarkers in differentiating TP and VD from CNS, classical AD biomarkers revealed higher performance in discriminating AD from non-AD disorders.Overall, our results suggest that CSF NF-light and miR-222 are promising biomarkers that may help to diagnose non-AD disorders.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersDementia, VascularFemaleHumansMaleMiddle AgedNeurofilament ProteinsPeptide FragmentsTauopathiestau ProteinsAmyloid beta-PeptidesBiomarkersNeurofilament ProteinsPeptide Fragmentstau Proteinsage-related dementiasCSFmicroRNAsneurofilament-light

Identifiers

PMID31029057
PMCPMC6520009
OpenAlexW2942228401

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.