improving csf biomarkers’ performance for predicting progression from mild cognitive impairment to alzheimer’s disease: a meta-analysis
Clicks: 296
ID: 227307
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
296 views
56 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #108 of 234 articles by views in Frontiers in chemistry
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 234 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Background: CSF biomarkers’ performance for predicting conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD) is still suboptimal. Objective: By considering several confounding factors we aimed to identify in which situations these CSF biomarkers can be useful. Data sources: A systematic review was conducted on MEDLINE, PreMedline, EMBASE, PsycInfo, CINAHL, Cochrane, and CRD (1990-2013). Eligibility criteria: 1) prospective studies of CSF biomarkers’ performance for predicting conversion from MCI to AD/dementia; 2) inclusion of Aß42 and T-tau and/or p-tau. Several meta-analyses were performed. Results: Aß42/p-tau ratio had high capacity to predict conversion to AD in MCI patients younger than 70 years. P-tau had high capacity to identify MCI cases converting to AD in ≤24 months. Conclusions: Explaining how different confounding factors influence CSF biomarkers’ predictive performance is mandatory to elaborate a definitive map of situations where these CSF biomarkers are useful both in clinics and research.
| Reference Key |
eferreira2014frontiersimproving
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Daniel eFerreira;Amado eRivero-Santana;Lilisbeth ePerestelo-Perez;Eric eWestman;Lars-Olof eWahlund;Antonio eSarria-Santamera;Pedro Guillermo Serrano-Aguilar |
| Journal | Frontiers in chemistry |
| Year | 2014 |
| DOI |
10.3389/fnagi.2014.00287
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.