Evidence map›Paper›PMID 42591921›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Quantification of global gray matter amyloid-β plaque from

Adam Farag, Seyed Ali Mirshahvalad, Claudia Ortega, Carmela Tartaglia, Patrick Veit-Haibach, Ur Metser

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Adam FaragUniversity Medical Imaging Toronto, Toronto Joint Dept. Medical Imaging University Health Network Mount Sinai Hospital and Women's College Hospital University of Toronto Toronto Ontario Canada.ORCID https://orcid.org/0000-0002-8439-9498
Seyed Ali MirshahvaladUniversity Medical Imaging Toronto, Toronto Joint Dept. Medical Imaging University Health Network Mount Sinai Hospital and Women's College Hospital University of Toronto Toronto Ontario Canada.
Claudia OrtegaUniversity Medical Imaging Toronto, Toronto Joint Dept. Medical Imaging University Health Network Mount Sinai Hospital and Women's College Hospital University of Toronto Toronto Ontario Canada.
Carmela TartagliaMemory Clinic - Krembil Brain Institute University Health Network; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto Toronto Ontario Canada.
Patrick Veit-HaibachUniversity Medical Imaging Toronto, Toronto Joint Dept. Medical Imaging University Health Network Mount Sinai Hospital and Women's College Hospital University of Toronto Toronto Ontario Canada.
Ur MetserUniversity Medical Imaging Toronto, Toronto Joint Dept. Medical Imaging University Health Network Mount Sinai Hospital and Women's College Hospital University of Toronto Toronto Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple standardized uptake value ratio (SUVR) and Centiloid (CL) thresholds exist for amyloid‑β (Aβ) positron emission tomography (PET) to classify scans as negative or positive, yet none reliably stratify brain amyloid plaque load (BAPL). This study proposes a global gray matter-based SUVR/CL model to determine amyloid status and quantitatively differentiate BAPL scores.

methodsTwo

resultsGlobal gray-to-white matter CL best stratified amyloid status and BAPL scores, yielding CL thresholds of < 21 and > 38 and high diagnostic accuracy. DISCUSSION: The integrated global CL-BAPL model reliably stratified amyloid positivity and BAPL level, suggesting that it could serve as a complementary tool to visual assessment.

Indexed as

18F‐FlorbetabenAlzheimer's diseasebrain β‐amyloid plaque loadCentiloidPET/MRI

Identifiers

PMID42591921
PMCPMC13463316

What Socratic 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 Socratic graph.