Evidence map›Paper›PMID 24108247›Full record

ArticleScientific reports2013

Serum multivalent cationic pattern: speculation on the efficient approach for detection of Alzheimer's disease.

Morteza Azhdarzadeh, Maryam Noroozian, Haniyeh Aghaverdi, Seyed Mostafa Akbari, Larry Baum, Morteza Mahmoudi

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Early Diagnosis of Alzheimer's Disease with Blood Test; Tempting but Challenging.International journal of molecular and cellular medicine · 2023
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Nanostructures: a platform for brain repair and augmentation.Frontiers in systems neuroscience · 2014
    Review
  8. Article
  9. Review
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

6 authors.

Morteza AzhdarzadehNanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Maryam Noroozian
Haniyeh Aghaverdi
Seyed Mostafa Akbari
Larry Baum
Morteza Mahmoudi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is increasingly becoming one of the greatest medical challenges. Due to the social and financial burden of AD, detection of AD in its early stages is a topic of major research interest. Thus, emergence of well-validated screening methods for fast detection of AD in the early stages would be of great importance. It is now recognized that the homeostasis and serum bioavailability of multivalent cations (e.g. zinc, copper, and iron) are disturbed in AD. Using a standard chemometric approach (hierarchical clustering analysis), we find that the serum concentrations of an array of such multivalent cations can be a fingerprint for identification of AD patients. This may pave the way for a reliable, efficient, and inexpensive method for early detection and treatment of AD.

Indexed as

Alzheimer DiseaseBiomarkersCase-Control StudiesChinaCluster AnalysisCopperFemaleHumansIranIronMaleMass SpectrometryPrincipal Component AnalysisZincBiomarkersCopperIronZinc

Identifiers

PMID24108247
PMCPMC3794368

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.