Evidence map›Paper›PMID 38332808›Full record

ArticleFrontiers in aging neuroscience2023

Cerebrospinal fluid level of proNGF as potential diagnostic biomarker in patients with frontotemporal dementia.

Francesca Malerba, Rita Florio, Ivan Arisi, Chiara Zecca, Maria Teresa Dell'Abate, Giancarlo Logroscino, Antonino Cattaneo

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
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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.

Francesca MalerbaFondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy.
Rita FlorioFondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy.
Ivan ArisiFondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy.
Chiara ZeccaCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy.
Maria Teresa Dell'AbateCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy.
Giancarlo LogroscinoCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology of the University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy.
Antonino CattaneoFondazione European Brain Research Institute (EBRI) Rita Levi-Montalcini, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Frontotemporal dementia (FTD) is an extremely heterogeneous and complex neurodegenerative disease, exhibiting different phenotypes, genetic backgrounds, and pathological states. Due to these characteristics, and to the fact that clinical symptoms overlap with those of other neurodegenerative diseases or psychiatric disorders, the diagnosis based only on the clinical evaluation is very difficult. The currently used biomarkers help in the clinical diagnosis, but are insufficient and do not cover all the clinical needs. Methods: By the means of a new immunoassay, we have measured and analyzed the proNGF levels in 43 cerebrospinal fluids (CSF) from FTD patients, and compared the results to those obtained in CSF from 84 Alzheimer's disease (AD), 15 subjective memory complaints (SMC) and 13 control subjects. Results: A statistically significant difference between proNGF levels in FTD compared to AD, SMC and controls subjects was found. The statistical models reveal that proNGF determination increases the accuracy of FTD diagnosis, if added to the clinically validated CSF biomarkers. Discussion: These results suggest that proNGF could be included in a panel of biomarkers to improve the FTD diagnosis.

Indexed as

biomarkerdiagnosisfrontotemporal dementiaimmunoassayneurodegenerative diseaseNGF dysmetabolismproNGFtauopathy

Identifiers

PMID38332808
PMCPMC10850263

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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.