Evidence map›Paper›PMID 40680830›Full record

SynthesisJournal of advanced research2026

Biomarkers for Alzheimer's disease across diverse biological domains: an umbrella review and evidence map.

Jiseung Kang, Yejun Son, Yesol Yim, Hanseul Cho, Jaewon Kim, Arianna R S Lark, Fayaz A Mir, Hyeon Jin Kim, Jaeyu Park, Hayeon Lee and 7 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

17 authors.

Jiseung KangSchool of Health and Environmental Science, Korea University College of Health Science, Seoul, South Korea; Department of Health and Safety Convergence Science, Korea University Graduate School, Seoul, South Korea.
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Yesol YimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Hanseul ChoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jaewon KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Arianna R S LarkDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Mass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, MA, USA.
Fayaz A MirDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Mass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, MA, USA.
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, South Korea.
Tae KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
Guillaume FondCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Laurent BoyerCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France; Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran.
Lee SmithCentre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK; Department of Public Health, Faculty of Medicine, Biruni University, Istanbul, Turkey.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. Electronic address: yonkkang@gmail.com.
Christa J NehsDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Mass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: CNEHS@mgh.harvard.edu.

Funding

Metabolic Interventions for Sleep, Anesthesia-related Neurocognitive Disorders and Alzheimer's DiseaseR01AG076704 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christa Joy Nehs · 2022 to 2026
$2.7M
NIA NIH HHS R01 AG076704
6 · The paper itself

Abstract

backgroundThis study aimed to systematically assess the quality, biases, and credibility of associations between potential Alzheimer's disease (AD) biomarkers through an umbrella review of existing meta-analyses.

methodsWe systematically searched PubMed/MEDLINE, Embase, CINAHL, and Google Scholar up to December 18, 2024, for meta-analyses of observational studies examining biomarkers for AD. Two reviewers independently screened studies and extracted data. We recalculated effect sizes using random-effects models and converted all estimates to equivalent standardized mean differences or ratio of means. The quality of included reviews was assessed using AMSTAR2, and the credibility of each association was graded using predefined criteria (Class I-IV).

resultsA total of 35 articles provided 106 unique meta-analyses covering 1,277 original studies and 156,161 participants across 40 countries. Of these, 52 biomarkers showed statistically significant associations with AD upon re-analysis. Among them, 30 associations included more than 1,000 participants, 49 showed substantial heterogeneity (I

conclusionsThis umbrella review provides a comprehensive evidence map of AD-related biomarkers. While 52 biomarkers were identified as statistically significant, only a subset met high credibility thresholds, emphasizing the need for large-scale, prospective studies to validate their clinical utility. STUDY REGISTRATION: PROSPERO CRD42024567136.

Indexed as

Alzheimer DiseaseBiomarkersAmyloid beta-PeptidesHumansMeta-Analysis as TopicAmyloid beta-PeptidesBiomarkersAlzheimer’s diseaseBiomarkerUmbrella review

Identifiers

PMID40680830
PMCPMC13001047

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.