Evidence map›Paper›PMID 35934777›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Using Alzheimer's disease blood tests to accelerate clinical trial enrollment.

Suzanne E Schindler, Yan Li, Melody Li, Alyssa Despotis, Ethan Park, Liberty Vittert, Barton H Hamilton, Kyle B Womack, Benjamin Saef, David M Holtzman and 3 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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. Substituting blood-based biomarkers for imaging measures in Alzheimer's disease studies: implications for sample size and bias.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. Review
  3. An automated plasma-based proteotyping immunoassay for APOE ε4 zygosity classification in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Falls predict faster progression to Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  12. Accuracy of plasma biomarkers to detect Alzheimer's disease proteinopathy prior to dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  13. Article
  14. Correlations between plasma markers and brain Aβ deposition across the AD continuum: Evidence from SILCODE.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  15. Review
  16. Article
  17. Plasma pTau217 predicts continuous brain amyloid levels in preclinical and early Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  18. Racial and ethnic differences in plasma biomarker eligibility for a preclinical Alzheimer's disease trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

13 authors.

Suzanne E SchindlerDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-1680-1465
Yan LiDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Melody LiDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Alyssa DespotisOlin Business School, Washington University, St. Louis, Missouri, USA.
Ethan ParkDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Liberty VittertOlin Business School, Washington University, St. Louis, Missouri, USA.
Barton H HamiltonOlin Business School, Washington University, St. Louis, Missouri, USA.
Kyle B WomackDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Benjamin SaefDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
David M HoltzmanDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
John C MorrisDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Randall J BatemanDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Mahendra R GuptaOlin Business School, Washington University, St. Louis, Missouri, USA.

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Paul S. Aisen · 2016 to 2026
$226.7M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Blood amyloid-beta relationship with amyloid plaques and CSF amyloid-betaRF1AG061900 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2019 to 2020
$6.9M
Staging Alzheimer disease with blood-based biomarkersR01AG070941 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2021 to 2025
$4.3M
Blood amyloid-beta relationship with amyloid plaques and CSF amyloid-betaR56AG061900 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2018 to 2018
$1.4M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG070941NIA NIH HHS R56 AG061900NIA NIH HHS RF1 AG061900NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG032438
6 · The paper itself

Abstract

introductionScreening potential participants in Alzheimer's disease (AD) clinical trials with amyloid positron emission tomography (PET) is often time consuming and expensive.

methodsA web-based application was developed to model the time and financial cost of screening for AD clinical trials. Four screening approaches were compared; three approaches included an AD blood test at different stages of the screening process.

resultsThe traditional screening approach using only amyloid PET was the most time consuming and expensive. Incorporating an AD blood test at any point in the screening process decreased both the time and financial cost of trial enrollment. Improvements in AD blood test accuracy over currently available tests only marginally increased savings. Use of a high specificity cut-off may improve the feasibility of screening with only an AD blood test. DISCUSSION: Incorporating AD blood tests into screening for AD clinical trials may reduce the time and financial cost of enrollment. HIGHLIGHTS: The time and cost of enrolling participants in Alzheimer's disease (AD) clinical trials were modeled. A web-based application was developed to enable evaluation of key parameters. AD blood tests may decrease the time and financial cost of clinical trial enrollment. Improvements in AD blood test accuracy only marginally increased savings. Use of a high specificity cut-off may enable screening with only an AD blood test.

Indexed as

Alzheimer DiseaseAmyloidAmyloid beta-PeptidesBiomarkersHematologic TestsHumansPositron-Emission TomographyAmyloidAmyloid beta-PeptidesBiomarkersamyloid positron emission tomographyblood-based biomarkersblood testsclinical trialscosteconomicsfalse negativefalse positivemodelingscreeningscreening approachesShiny apptime of enrollment

Identifiers

PMID35934777
PMCPMC9902574

What OpenQuestion holds

Textmetadata
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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.