Evidence map›Paper›PMID 42337927›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Tau positron emission tomography analysis methods for the quantification of tau spread in preclinical and early Alzheimer's disease.

Janice Wong, Tina Wang, Ritobrato Datta, Rouhollah O Abdollahi, Jingwei Li, Christopher C Rowe, David Henley, Hartmuth C Kolb, Ziad S Saad, Alzheimer's Disease Neuroimaging Initiative

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In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

10 authors.

Janice WongJohnson & Johnson, Cambridge, Massachusetts, USA.
Tina WangJohnson & Johnson, La Jolla, California, USA.
Ritobrato DattaJohnson & Johnson, La Jolla, California, USA.
Rouhollah O AbdollahiJohnson & Johnson, Leiden, The Netherlands.
Jingwei LiJohnson & Johnson, Neuss, Germany.
Christopher C RoweDepartment of Molecular Imaging & Therapy, Austin Health, Heidelberg, Victoria, Australia.
David HenleyJohnson & Johnson, Titusville, New Jersey, USA.
Hartmuth C KolbJohnson & Johnson, La Jolla, California, USA.
Ziad S SaadJohnson & Johnson, La Jolla, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative (ADNI)Johnson & Johnson
6 · The paper itself

Abstract

introductionInhibition of pathological tau spread may slow cognitive decline in Alzheimer's disease. Here, we evaluate two tau positron emission tomography (PET) analysis methods designed for detecting tau spread.

methodsSpatial progression of tauopathy (SPOT) and tau-naïve anatomical region of interest (tau-naïve ROI) methods were assessed in two large observational cohorts in amyloid-positive (A+) cognitively unimpaired (CU) or mildly cognitively impaired (MCI) participants versus CU amyloid-negative (A-) participants.

resultsSPOT and tau-naïve ROI demonstrated measurable annualized change in CU A+ and MCI A+ participants versus CU A- participants. These spread estimates produced effect sizes comparable to standardized uptake value ratio (SUVR) change measures in anatomically defined ROIs. Effect sizes were increased when evaluating the subset of tau positive CU A+ and MCI A+ participants. DISCUSSION: SPOT and tau-naïve ROI methods are designed to measure tau spread and may be used in addition to traditional SUVR measures to evaluate tau progression in AD.

Indexed as

Alzheimer DiseaseBrainPositron-Emission Tomographytau ProteinsAgedAged, 80 and overCognitive DysfunctionDisease ProgressionFemaleHumansMaletau ProteinsAlzheimer's diseasebiomarkerflortaucipirmild cognitive impairmentMK‐6240 (florquinitau)preclinical Alzheimer's diseaseregion of interestspatial progression of tauopathystandardized uptake value ratiotau PETtau positron emission tomography

Identifiers

PMID42337927
PMCPMC13290639

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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.