Evidence map›Paper›PMID 23082203›Full record

ArticlePloS one2012

Enrichment and stratification for predementia Alzheimer disease clinical trials.

Dominic Holland, Linda K McEvoy, Rahul S Desikan, Anders M Dale, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Neuroimaging Biomarkers for Alzheimer's Disease.Molecular neurodegeneration · 2019
    Review
  15. Predicting long-term clinical stability in amyloid-positive subjects by FDG-PET.Annals of clinical and translational neurology · 2019
    Article
  16. The Yale journal of biology and medicine · 2018
    Review
  17. Amyloid and tau signatures of brain metabolic decline in preclinical Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2018
    Article
  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

5 authors at 1 institution in 1 country.

Dominic HollandDepartment of Neurosciences, University of California San Diego, La Jolla, California, USA. dominic.holland@gmail.com
Linda K McEvoy
Rahul S Desikan
Anders M Dale
Alzheimer’s Disease Neuroimaging Initiative
University of California, San Diego · US

Funding

The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
VARIANTS OF FOCAL BRAIN INJURYP50NS022343 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TRAUNER, DORIS A · 1985 to 2012
$15.1M
TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
Structural & Metabolic Neuroimaging Biomarkers in Early Alzheimer's DiseaseR01AG031224 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2008 to 2012
$1.9M
Structure and Functional Imaging of Age-Related Changes in Working MemoryK01AG029218 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCEVOY, LINDA KATHLEEN · 2007 to 2011
$558k
NIA NIH HHS K01 AG029218NIA NIH HHS K01AG029218NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG031224NIA NIH HHS R01AG031224NIA NIH HHS R01AG22381NIBIB NIH HHS T32 EB005970NIMH NIH HHS P50 MH081755NIMH NIH HHS P50MH081755NINDS NIH HHS P50 NS022343NINDS NIH HHS P50NS22343NINDS NIH HHS U54 NS056883NINDS NIH HHS U54NS056883
6 · The paper itself

Abstract

The tau and amyloid pathobiological processes underlying Alzheimer disease (AD) progresses slowly over periods of decades before clinical manifestation as mild cognitive impairment (MCI), then more rapidly to dementia, and eventually to end-stage organ failure. The failure of clinical trials of candidate disease modifying therapies to slow disease progression in patients already diagnosed with early AD has led to increased interest in exploring the possibility of early intervention and prevention trials, targeting MCI and cognitively healthy (HC) populations. Here, we stratify MCI individuals based on cerebrospinal fluid (CSF) biomarkers and structural atrophy risk factors for the disease. We also stratify HC individuals into risk groups on the basis of CSF biomarkers for the two hallmark AD pathologies. Results show that the broad category of MCI can be decomposed into subsets of individuals with significantly different average regional atrophy rates. By thus selectively identifying individuals, combinations of these biomarkers and risk factors could enable significant reductions in sample size requirements for clinical trials of investigational AD-modifying therapies, and provide stratification mechanisms to more finely assess response to therapy. Power is sufficiently high that detecting efficacy in MCI cohorts should not be a limiting factor in AD therapeutics research. In contrast, we show that sample size estimates for clinical trials aimed at the preclinical stage of the disorder (HCs with evidence of AD pathology) are prohibitively large. Longer natural history studies are needed to inform design of trials aimed at the presymptomatic stage.

Indexed as

Clinical Trials as TopicAgedAlzheimer DiseaseAtrophyCase-Control StudiesCognitionCognitive DysfunctionConfidence IntervalsDementiaDemographyFemaleHealthHumansMagnetic Resonance ImagingMaleSample Size

Identifiers

PMID23082203
PMCPMC3474753
OpenAlexW2008826521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.