Evidence map›Paper›PMID 40016250›Full record

ArticleScientific reports2025

Comparison of accumulation rates of beta-amyloid tracers and their relationship with cognitive changes.

Soo Hyun Cho, Heekyoung Kang, Hongki Ham, Seung Hwan Moon, Hyemin Jang, Jihwan Yun, Eun Hye Lee, Daeun Shin, Sohyun Yim, Byeong Chae Kim and 4 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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. Review
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

14 authors.

Soo Hyun Cho *Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
Heekyoung Kang *Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hongki HamNeuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.
Seung Hwan MoonDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyemin JangDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jihwan YunDepartment of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon-si, Republic of Korea.
Eun Hye LeeDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Daeun ShinDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sohyun YimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Byeong Chae KimDepartment of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
Hee Jin KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Duk L NaDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang Won Seo *Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sangwonseo@empal.com.
Jun Pyo Kim *Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. torch0703@gmail.com.

Funding

Artificial Intelligence Innovation Hub); Future Medicine 20*30 Project of the Samsung Medical Center #SMX1240561Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) No.RS-2021-II212068Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare and Ministry of science and ICT, Republic of Korea RS-2022-KH127756the "Korea National Institute of Health" research project 2024-ER1003-00the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) NRF-2019R1A5A2027340
6 · The paper itself

Abstract

We aimed to compare amyloid-β (Aβ) accumulation rates between different tracers and investigate whether the relationship between changes in Aβ uptake and cognitive decline varies depending on tracer type. Two cohorts were analyzed: (1) a head-to-head longitudinal cohort using

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesCognitionCognitive DysfunctionAgedAged, 80 and overAniline CompoundsBenzothiazolesBrainFemaleHumansLongitudinal StudiesMaleMiddle AgedPositron-Emission TomographyRadiopharmaceuticals4-(N-methylamino)-4'-(2-(2-(2-fluoroethoxy)ethoxy)ethoxy)stilbeneAmyloid beta-PeptidesAniline CompoundsBenzothiazolesflutemetamolRadiopharmaceuticalsStilbenesAccumulation ratesAmyloid tracersCognitive changesHead-to-head comparison

Identifiers

PMID40016250
PMCPMC11868567

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.