Evidence map›Paper›PMID 40351158›Full record

ArticleAnnals of laboratory medicine2025

Diagnostic Performance of Eight Blood-based Biomarkers in a Well-characterized Korean Cohort of Preclinical Alzheimer's Disease.

Hyojin Chae, Hyejeong Kim, Yoon-Joo Kim, HyunYoung Ji, Eun-Jee Oh, Dong Won Yang

Abstract readEvaluation Study
In one paragraph

Article in Annals of laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Hyojin ChaeDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5870-1887
Hyejeong KimDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2919-6118
Yoon-Joo KimDepartment of Laboratory Medicine, Samkwang Medical Laboratories, Seoul, Korea.ORCID https://orcid.org/0000-0001-9596-9145
HyunYoung JiDepartment of Laboratory Medicine, Samkwang Medical Laboratories, Seoul, Korea.ORCID https://orcid.org/0000-0002-5865-9292
Eun-Jee OhDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5870-915X
Dong Won YangDepartment of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-4733-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the introduction of disease-modifying treatments for Alzheimer's disease (AD), less invasive and widely accessible screening tests are urgently needed. We assessed eight blood-based biomarkers in a well-defined cohort of preclinical AD, including participants with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). Methods: Amyloid beta (Aβ) oligomerization tendency, Aβ42, Aβ40, Aβ42/Aβ40 ratio, phosphorylated tau (p-tau)181, p-tau217, glial fibrillary acidic protein (GFAP), and neurofilament light (Nf-L) were assessed for distinguishing between SCD and MCI, for correlations, and for predicting Aβ positron emission tomography (PET) positivity. Results: Plasma p-tau181, p-tau217, and GFAP levels were significantly higher in participants with MCI than in those with SCD ( Conclusions: Plasma p-tau217 levels outperform plasma p-tau181 levels in predicting Aβ PET-positivity in participants with preclinical AD. Plasma GFAP levels, along with different p-tau isoforms (p-tau181 and p-tau217), effectively differentiate MCI from SCD. The predictive accuracy of blood-based biomarkers for Aβ PET-positivity strongly supports their clinical implementation, particularly with the introduction of disease-modifying therapies.

Indexed as

Alzheimer DiseaseBiomarkersAgedAged, 80 and overAmyloid beta-PeptidesArea Under CurveCognitive DysfunctionCohort StudiesEast Asian PeopleFemaleGlial Fibrillary Acidic ProteinHumansLogistic ModelsMaleMiddle AgedNeurofilament ProteinsAmyloid beta-PeptidesBiomarkersGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAlzheimer’Blood-based biomarkerMild cognitive impairmentPhosphorylated tau proteinsp-tau181p-tau217s diseaseSimoaSubjective cognitive decline

Identifiers

PMID40351158
PMCPMC12187503

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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.