Evidence map›Paper›PMID 40390199›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Beyond binary classification: Comparing three region-based multi-phase Aβ staging systems.

Liang Cui, Zhen Zhang, Chu-Chung Huang, Cheng-Yi Yuan, You-Yi Tu, Min Wang, Yi-Hui Guan, Yue-Hua Li, Fang Xie, Qi-Hao Guo

Abstract readComparative Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Beyond binary classification: Comparing three region-based multi-phase Aβ staging systems.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. 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.

Liang CuiDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhen ZhangDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chu-Chung HuangShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Cheng-Yi YuanShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
You-Yi TuDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min WangSchool of Life Sciences, Shanghai University, Shanghai, China.
Yi-Hui GuanDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Yue-Hua LiDepartment of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fang XieDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Qi-Hao GuoDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

National Natural Science Foundation of China 62303295National Natural Science Foundation of China 82171198Shanghai Municipal Health Commission 202140042Shanghai Municipal Science and Technology Major Project 2018SHZDZX01
6 · The paper itself

Abstract

introductionThis study aims to establish a multi-phase visual staging system based on amyloid-beta (Aβ) deposition to more precisely assess the stages of Aβ accumulation in Alzheimer's disease (AD), and to validate the cognitive function, neurodegeneration, and blood biomarker characteristics at different stages.

methodsA total of 1002 participants from the Chinese Preclinical Alzheimer's Disease Study (C-PAS) cohort were included. Aβ deposition was assessed using positron emission tomography (PET) imaging, and three multi-phase Aβ deposition grading systems were established. Participants underwent neuropsychological testing, peripheral blood biomarker collection, and multimodal neuroimaging data acquisition.

resultsCognitive function, peripheral blood biomarkers, default mode network (DMN) function, and hippocampal volumes showed stage-dependent changes across different Aβ deposition stages. Different grading systems revealed varying clinical manifestations and biomarker sensitivity. DISCUSSION: Region-based multi-phase Aβ deposition systems demonstrate practical utility in detecting early pathological changes, understanding disease progression, and informing early diagnosis and intervention strategies for AD. HIGHLIGHTS: Developed and validated visual multi-phase Aβ deposition staging systems for AD progression. Revealed stage-specific cognitive, neurodegenerative, and biomarker characteristics in AD. Demonstrated the sensitivity of visual methods to detect early, regional Aβ deposition. Highlighted differential strengths of Villeneuve, Grothe, and Mattsson staging systems. Proposed multi-phase systems as tools for personalized AD diagnosis and intervention strategies.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBrainAgedBiomarkersCohort StudiesDisease ProgressionFemaleHumansMaleMiddle AgedNeuropsychological TestsPositron-Emission TomographyAmyloid beta-PeptidesBiomarkersAlzheimer's diseaseamyloid‐betacognitive functiondefault mode networkdeposition stagehippocampusneurodegenerationplasma biomarkers

Identifiers

PMID40390199
PMCPMC12089080

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.