Evidence map›Paper›PMID 22188635›Full record

ArticleMolecular diagnosis & therapy2011

Use of biomarkers in clinical trials of Alzheimer disease: from concept to application.

Liyong Wu, Pedro Rosa-Neto, Serge Gauthier

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diagnosis & therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Diagnostic performance of plasma p-tau217 and Aβ42/40 biomarkers in the outpatient memory clinic.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Article
  5. Review
  6. Prevention strategies for Alzheimer's disease.Translational neurodegeneration · 2012
    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

3 authors at 2 institutions in 3 countries.

Liyong WuMcGill Centre for Studies in Aging (MCSA), McGill University, Montreal, QC, Canada.
Pedro Rosa-Neto
Serge Gauthier
McGill University · CADouglas Mental Health University Institute · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Research progress during the last decades has resulted in an unprecedented accumulation of knowledge regarding the molecular pathogenesis of Alzheimer disease (AD). These important achievements toward clarifying the mechanistic processes underlying AD are being translated into ongoing development of biomarkers and their use in clinical trials. AD biomarkers are biochemical and anatomical variables (e.g. cerebrospinal fluid, positron emission tomography, and structural MRI) that measure AD-related pathologic features (i.e. amyloid deposition and neurodegeneration) in vivo. Biomarkers are utilized as 'diagnostic biomarkers' and/or 'endpoint biomarkers' in symptomatic or disease-modifying clinical trials. Diagnostic biomarkers play an important role in population enrichment by refining selection criteria, stratifying populations, and increasing the statistical power of trials. Endpoint biomarkers may be used as outcome measures to monitor the rate of disease progression and detect treatment effects. AD biomarkers do not reach abnormal levels or peak simultaneously, but do so in a time-dependent order. The choice of biomarkers for a clinical trial must take into consideration the type of therapeutic intervention, the clinical stage of AD, and the time dependence of biomarker changes during disease progression. The combination of amyloid and neurodegeneration biomarkers is highly desirable since they capture different aspects of the disease. Clinical trials for every clinical stage of AD would benefit from quantification and standardization of biomarkers. However, this is still a work in progress.

Indexed as

Alzheimer DiseaseBiomarkersClinical Trials as TopicDisease ProgressionHumansMagnetic Resonance ImagingPositron-Emission TomographyBiomarkers

Identifiers

PMID22188635
OpenAlexW176409249

What OpenQuestion holds

Textmetadata
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.