Evidence map›Paper›PMID 21933389›Full record

ArticleImmunity & ageing : I & A2011

The "Alzheimer's disease signature": potential perspectives for novel biomarkers.

Sergio Davinelli, Mariano Intrieri, Claudio Russo, Alfonso Di Costanzo, Davide Zella, Paolo Bosco, Giovanni Scapagnini

Abstract read
In one paragraph

Article in Immunity & ageing : I & A, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Insight into the Molecular Imaging of Alzheimer's Disease.International journal of biomedical imaging · 2016
    Review
  4. Multiplex biomarkers in blood.Alzheimer's research & therapy · 2013
    Review
  5. Article
  6. Pleiotropic protective effects of phytochemicals in Alzheimer's disease.Oxidative medicine and cellular longevity · 2012
    Review
  7. Thyroid Hormone Enhances Neurite Outgrowth in Neuroscreen 1 Cells.International journal of biomedical investigation
    Article
  8. Article
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.

Sergio DavinelliDepartment of Health Sciences, University of Molise, Campobasso, Italy. g.scapagnini@gmail.com.
Mariano Intrieri
Claudio Russo
Alfonso Di Costanzo
Davide Zella
Paolo Bosco
Giovanni Scapagnini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is a progressive and neurodegenerative disorder which involves multiple molecular mechanisms. Intense research during the last years has accumulated a large body of data and the search for sensitive and specific biomarkers has undergone a rapid evolution. However, the diagnosis remains problematic and the current tests do not accurately detect the process leading to neurodegeneration. Biomarkers discovery and validation are considered the key aspects to support clinical diagnosis and provide discriminatory power between different stages of the disorder. A considerable challenge is to integrate different types of data from new potent approach to reach a common interpretation and replicate the findings across studies and populations. Furthermore, long-term clinical follow-up and combined analysis of several biomarkers are among the most promising perspectives to diagnose and manage the disease. The present review will focus on the recent published data providing an updated overview of the main achievements in the genetic and biochemical research of the Alzheimer's disease. We also discuss the latest and most significant results that will help to define a specific disease signature whose validity might be clinically relevant for future AD diagnosis.

Identifiers

PMID21933389
PMCPMC3192749

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Registered trials

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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.