Evidence map›Paper›PMID 25360114›Full record

ReviewFrontiers in aging neuroscience2014

Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis.

Daniel Ferreira, Amado Rivero-Santana, Lilisbeth Perestelo-Pérez, Eric Westman, Lars-Olof Wahlund, Antonio Sarría, Pedro Serrano-Aguilar

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Association of APOE gene with longitudinal changes of CSF amyloid beta and tau levels in Alzheimer's disease: racial differences.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Alzheimer's disease: Newer biomarkers.Industrial psychiatry journal · 2021
    Article
  7. Article
  8. Observational
  9. Article
  10. CSF p-tau/AβEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  11. Review
  12. Article
  13. Frontiers in neuroscience · 2020
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. CSF AβNeuromolecular medicine · 2018
    Article
  19. Review
  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

7 authors.

Daniel FerreiraDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet , Stockholm , Sweden.
Amado Rivero-SantanaCanarian Foundation of Health and Research (FUNCIS) , Las Palmas de Gran Canaria , Spain ; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC) , Santa Cruz de Tenerife , Spain.
Lilisbeth Perestelo-PérezRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC) , Santa Cruz de Tenerife , Spain ; Evaluation Unit of the Canary Islands Health Service (SESCS) , Santa Cruz de Tenerife , Spain ; Center for Biomedical Research of the Canary Islands (CIBICAN), University of La Laguna , Tenerife , Spain.
Eric WestmanDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet , Stockholm , Sweden.
Lars-Olof WahlundDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet , Stockholm , Sweden.
Antonio SarríaRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC) , Santa Cruz de Tenerife , Spain ; Agency for Health Technology Assessment (AETS), Institute of Health Carlos III , Madrid , Spain.
Pedro Serrano-AguilarRed de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC) , Santa Cruz de Tenerife , Spain ; Evaluation Unit of the Canary Islands Health Service (SESCS) , Santa Cruz de Tenerife , Spain ; Center for Biomedical Research of the Canary Islands (CIBICAN), University of La Laguna , Tenerife , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebrospinal fluid (CSF) biomarkers' performance for predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is still suboptimal.

objectiveBy 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 Aβ42 and T-tau and/or p-tau. Several meta-analyses were performed.

resultsAβ42/p-tau ratio had high capacity to predict conversion to AD in MCI patients younger than 70 years. The p-tau had high capacity to identify MCI cases converting to AD in ≤24 months.

conclusionsExplaining 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.

Indexed as

Alzheimer’s diseaseconfounding factorsCSF biomarkersmeta-analysismild cognitive impairmentsystematic review

Identifiers

PMID25360114
PMCPMC4199277

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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.