Evidence map›Paper›PMID 36975407›Full record

ArticleAnnals of clinical and translational neurology2023

Independent study demonstrates amyloid probability score accurately indicates amyloid pathology.

Ilana Fogelman, Tim West, Joel B Braunstein, Philip B Verghese, Kristopher M Kirmess, Matthew R Meyer, John H Contois, Eli Shobin, Kyle L Ferber, Jake Gagnon and 8 more

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  6. Plasma biomarkers distinguish Boston Criteria 2.0 cerebral amyloid angiopathy from healthy controls.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. 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
  8. Visual-somatosensory integration as a novel behavioral marker of amyloid pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Article
  10. Article
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  12. Article
  13. Plasma biomarkers for Alzheimer's and related dementias: A review and outlook for clinical neuropsychology.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
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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

18 authors.

Ilana FogelmanC2N Diagnostics, St. Louis, Missouri, USA.ORCID 0000-0001-8550-7625
Tim WestC2N Diagnostics, St. Louis, Missouri, USA.
Joel B BraunsteinC2N Diagnostics, St. Louis, Missouri, USA.
Philip B VergheseC2N Diagnostics, St. Louis, Missouri, USA.
Kristopher M KirmessC2N Diagnostics, St. Louis, Missouri, USA.
Matthew R MeyerC2N Diagnostics, St. Louis, Missouri, USA.
John H ContoisC2N Diagnostics, St. Louis, Missouri, USA.
Eli ShobinBiogen, Cambridge, Massachusetts, USA.
Kyle L FerberBiogen, Cambridge, Massachusetts, USA.
Jake GagnonBiogen, Cambridge, Massachusetts, USA.
Carrie E RubelBiogen, Cambridge, Massachusetts, USA.
Danielle GrahamBiogen, Cambridge, Massachusetts, USA.
Randall J BatemanDept. of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Tracey Family SILQ Center, Washington University School of Medicine, St. Louis, Missouri, USA.
David M HoltzmanDept. of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Tracey Family SILQ Center, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-3400-0856
Shuguang HuangStat4ward, Pittsburgh, Pennsylvania, USA.
Joanne YuStat4ward, Pittsburgh, Pennsylvania, USA.
Sha YangStat4ward, Pittsburgh, Pennsylvania, USA.
Kevin E YarasheskiC2N Diagnostics, St. Louis, Missouri, USA.ORCID 0000-0001-5436-2451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe amyloid probability score (APS) is the model read-out of the analytically validated mass spectrometry-based PrecivityAD PURPOSE: This study aimed to provide additional independent evidence that the pre-established APS algorithm, along with its cutoff values, discriminates between amyloid positive and negative individuals.

methodsThe diagnostic performance of the PrecivityAD test was analyzed in a cohort of 200 nonrandomly selected Australian Imaging, Biomarker & Lifestyle Flagship Study of Aging (AIBL) study participants, who were either cognitively impaired or healthy controls, and for whom a blood sample and amyloid PET imaging were available.

resultsIn a subset of the dataset aligned with the Intended Use population (patients aged 60 and older with CDR ≥0.5), the pre-established APS algorithm predicted amyloid PET with a sensitivity of 84.9% (CI: 72.9-92.1%) and specificity of 96% (CI: 80.5-99.3%), exclusive of 13 individuals for whom the test was inconclusive.

interpretationThe study shows individuals with a high APS are more likely than those with a low APS to have abnormal amounts of amyloid plaques and be on an amyloid accumulation trajectory, a dynamic and evolving process characteristic of progressive AD pathology. Exploratory data suggest APS retains its diagnostic performance in healthy individuals, supporting further screening studies in the cognitively unimpaired.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAgedAgingAmyloidAustraliaHumansMiddle AgedPlaque, AmyloidAmyloidAmyloid beta-Peptides

Identifiers

PMID36975407
PMCPMC10187729

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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.