Evidence map›Paper›PMID 23314060›Full record

Trial reportAlzheimer disease and associated disorders

Plasma proteomics for the identification of Alzheimer disease.

Liang-Hao Guo, Panagiotis Alexopoulos, Stefan Wagenpfeil, Alexander Kurz, Robert Perneczky, Alzheimer’s Disease Neuroimaging Initiative

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Alzheimer disease and associated disorders. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
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  11. Review
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  13. Article
  14. Review
  15. Review
  16. Plasma Biomarkers: Potent Screeners of Alzheimer's Disease.American journal of Alzheimer's disease and other dementias · 2019
    Review
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 2 countries.

Liang-Hao Guo*Department of Psychiatry and Psychotherapy †Institute for Medical Statistics and Epidemiology, Technische Universität München, Munich, Germany ‡Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology, and Medicine, London, UK.
Panagiotis Alexopoulos
Stefan Wagenpfeil
Alexander Kurz
Robert Perneczky
Alzheimer’s Disease Neuroimaging Initiative
Imperial College London · GBTechnical University of Munich · DE

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MEYER, OANH L · 1991 to 2020
$28.3M
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
NIA NIH HHS K01 AG030514NIA NIH HHS P30 AG010129NIA NIH HHS P30AG010129NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Less-invasive biomarkers for early Alzheimer disease (AD) are urgently needed. The present study aimed to establish a panel of plasma proteins that accurately distinguishes early AD from physiological aging and to compare the findings with previous reports. Fifty-eight healthy controls (CON) and 109 patients with AD dementia were randomly split into a training (40%) and a test (60%) sample. Significant proteins to differentiate between the CON and AD dementia groups were identified in a comprehensive panel of 107 plasma analytes in the training sample; the accuracy in differentiating these 2 groups was explored in the test sample. A set of 5 plasma proteins was identified, which differentiated between the CON group and the AD dementia group with a sensitivity of 89.36% and a specificity of 79.17%. A biological pathway analysis showed that 4 of 5 proteins belonged to a common network with amyloid precursor protein and tau. Apolipoprotein E was the only protein that was both significant in the present report and in a previous proteomic study. The study provides a piece of evidence in support of the feasibility of a blood-based biomarker approach in AD diagnostics; however, further research is required because of issues with replicability.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseApolipoproteins EBiomarkersBlood ProteinsCohort StudiesFemaleFollow-Up StudiesHumansMaleProteomicsReproducibility of ResultsApolipoproteins EBiomarkersBlood Proteins

Identifiers

PMID23314060
PMCPMC3626738
OpenAlexW2332741266

What OpenQuestion holds

Textmetadata
LicenceTDM
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.