Evidence map›Paper›PMID 39275969›Full record

ArticleEuropean journal of neurology2024

Difference in trajectories according to early amyloid accumulation in cognitively unimpaired elderly.

Young Ju Kim, Jihwan Yun, Sang Won Seo, Jun Pyo Kim, Hyemin Jang, Hee Jin Kim, Duk L Na, Sookyoung Woo, Min Young Chun, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Young Ju KimDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jihwan YunDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0002-2436-4947
Sang Won SeoDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jun Pyo KimDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Hyemin JangDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-3152-1274
Hee Jin KimDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0002-3186-9441
Duk L NaDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sookyoung WooBiostatistics Team, Samsung Biomedical Research Institute, Seoul, South Korea.
Min Young ChunDepartment of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-3731-6132
Alzheimer's Disease Neuroimaging Initiative

Funding

Korea government NRF-2019R1A5A2027340Korea government RS-2021-II212068"Korea National Institute of Health" research project 2024-ER1003-00Ministry of Health & Welfare and Ministry of Science and ICT Republic of Korea RS-2020-KH106434Ministry of Health & Welfare and Ministry of Science and ICT Republic of Korea RS-2022-KH127756Samsung Medical Center #SMX1240561Yonsei University College of Medicine 6-2023-0145
6 · The paper itself

Abstract

background and purposeAmyloid β (Aβ), a major biomarker of Alzheimer's disease, leads to tau accumulation, neurodegeneration and cognitive decline. Modelling the trajectory of Aβ accumulation in cognitively unimpaired (CU) individuals is crucial, as treatments targeting Aβ are anticipated. The evolution of Aβ levels was investigated to determine whether it could lead to classification into different groups by studying longitudinal Aβ changes in older CU individuals, and differences between the groups were compared.

methodsA total of 297 CU participants were included from the Alzheimer's Disease Neuroimaging Initiative database, and these participants underwent apolipoprotein E (APOE) genotyping, neuropsychological testing, brain magnetic resonance imaging, and an average of 3.03 follow-up

resultsThe optimal model consisted of three classes, with a high entropy value of 0.947. The classes were designated as follows: class 1, non-accumulation group (n  = 197); class 2, late accumulation group (n  = 70); and class 3, early accumulation group (n  = 30). The late accumulation and early accumulation groups had more APOE ε4 carriers than the non-accumulation group. The longitudinal analysis of cognitive performance revealed that the early accumulation group showed the steepest decline (modified Preclinical Alzheimer's Cognitive Composite with digit symbol substitution [mPACCdigit], p < 0.001; modified Preclinical Alzheimer's Cognitive Composite with trails B [mPACCtrailsB], p < 0.001) and the late accumulation group showed a steeper decline (mPACCdigit, p = 0.014; mPACCtrailsB, p = 0.007) compared to the non-accumulation group.

conclusionsOur study showed the heterogeneity of Aβ accumulation trajectories in CU older individuals. The prognoses for cognitive decline differ according to the Aβ trajectory patterns.

Indexed as

Amyloid beta-PeptidesPositron-Emission TomographyAgedAged, 80 and overAlzheimer DiseaseAniline CompoundsApolipoproteins EBrainCognitionCognitive DysfunctionDisease ProgressionEthylene GlycolsFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingAmyloid beta-PeptidesAniline CompoundsApolipoproteins EEthylene GlycolsflorbetapirAlzheimer's diseaseamyloidcognitionlatent class growth analysislongitudinal studypositron emission tomographytrajectory

Identifiers

PMID39275969
PMCPMC11555158

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.