Evidence map›Paper›PMID 41622252›Full record

ArticleNature communications2026

Biomarker-integrated prognostic stagings for Alzheimer's Disease.

Daeun Shin, Sungjoo Lee, Jun Pyo Kim, Hyemin Jang, Jihwan Yun, Min Young Chun, Jehyun Ahn, Seongmi Kim, Kyoungmin Kim, Soyeon Yoon and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

23 authors.

Daeun Shin *Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sungjoo Lee *Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0003-3564-4220
Jun Pyo KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-4376-3107
Hyemin JangDepartment of Neurology, Asan Medical Center, Ulsan University School of Medicine, Seoul, Republic of Korea.
Jihwan YunDepartment of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea.
Min Young ChunDepartment of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jehyun AhnDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Seongmi KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyoungmin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0009-0000-4161-3573
Soyeon YoonDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hee Jin KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Heekyoung KangDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sohyun YimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-9357-768X
Hee Kyung ParkDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Seonghyeon KimDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Duk L NaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0098-7592
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID 0000-0003-3930-4354
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID 0000-0002-1890-4193
Fernando Gonzalez-OrtizDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID 0000-0001-7897-9456
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID 0000-0002-3579-8804
Michael W WeinerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. sangwonseo@empas.com.ORCID 0000-0002-8747-0122
Kyunga KimBiomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea. kyunga.j.kim@gmail.com.ORCID 0000-0002-0865-2236

Funding

Korea governmentMinistry of Health & Welfare and Ministry of Science and ICT, Republic of KoreaMinistry of Health & Welfare, Republic of Korea
6 · The paper itself

Abstract

Accurately predicting disease progression remains a major challenge in Alzheimer's disease (AD). Here we show that a biomarker-integrated prognostic staging system can stratify progression risk across the disease course by jointly incorporating cognitive status, established risk factors, plasma biomarkers, and neuroimaging measures. In the K-ROAD cohort (N = 1,263), the dominant prognostic contributors varied by clinical context-GFAP in cognitively unimpaired individuals, hippocampal volume in mild cognitive impairment, and age in dementia-while plasma phosphorylated tau-217 provided consistent secondary prognostic information across stages. Outcome-specific staging captured clinically meaningful gradients of progression risk and informed construction of a unified six-stage framework (Stage 0-IVB) with distinct inflection points of accelerated decline. External validation in the ADNI cohort (N = 290) demonstrated consistent patterns of worsening prognosis, particularly in early and intermediate stages. This system provides a clinically interpretable approach to risk stratification and may serve as an exploratory framework for biomarker-integrated prognostic stratification in AD.

Indexed as

Alzheimer DiseaseBiomarkersAgedAged, 80 and overCognitive DysfunctionCohort StudiesDisease ProgressionFemaleHippocampusHumansMagnetic Resonance ImagingMaleNeuroimagingPrognosisRisk Factorstau ProteinsBiomarkerstau Proteins

Identifiers

PMID41622252
PMCPMC12963535

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.