Evidence map›Paper›PMID 38769282›Full record

ReviewFrontiers of medicine2024

Progress on early diagnosing Alzheimer's disease.

Yixin Chen, Murad Al-Nusaif, Song Li, Xiang Tan, Huijia Yang, Huaibin Cai, Weidong Le

Abstract readReview
In one paragraph

Review in Frontiers of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Design of bifunctional pyridinophane ligands as MnInorganic chemistry frontiers · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Integrated cerebellar radiomic-network model for predicting mild cognitive impairment in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  17. Review
  18. Review
  19. 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

7 authors.

Yixin Chen *Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
Murad Al-Nusaif *Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
Song LiLiaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
Xiang TanLiaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
Huijia YangLiaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
Huaibin CaiTransgenic Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA.
Weidong LeLiaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China. wdle@sibs.ac.cn.

Funding

Molecular and Pathophysiological Study of Parkinson's DiseaseZIAAG000928 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2011 to 2025
$15.8M
The Function and Pathogenic Mechanisms of LRRK2/Dardarin in Parkinson's DiseaseZIAAG000944 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2009 to 2025
$10.2M
The Pathogenic Mechanism of ALS-related VAPB MutationZIAAG000943 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2009 to 2025
$6.8M
Pathophysiological Study of Dopamine in Alzheimer's Disease and Related DemantiaZIAAG000540 · NIA · NATIONAL INSTITUTE ON AGING · PI CAI, HUAIBIN · 2020 to 2025
$2.8M
Intramural NIH HHS ZIA AG000928Intramural NIH HHS ZIA AG000943Intramural NIH HHS ZIA AG000944
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects both cognition and non-cognition functions. The disease follows a continuum, starting with preclinical stages, progressing to mild cognitive and behavioral impairment, ultimately leading to dementia. Early detection of AD is crucial for better diagnosis and more effective treatment. However, the current AD diagnostic tests of biomarkers using cerebrospinal fluid and/or brain imaging are invasive or expensive, and mostly are still not able to detect early disease state. Consequently, there is an urgent need to develop new diagnostic techniques with higher sensitivity and specificity during the preclinical stages of AD. Various non-cognitive manifestations, including behavioral abnormalities, sleep disturbances, sensory dysfunctions, and physical changes, have been observed in the preclinical AD stage before occurrence of notable cognitive decline. Recent research advances have identified several biofluid biomarkers as early indicators of AD. This review focuses on these non-cognitive changes and newly discovered biomarkers in AD, specifically addressing the preclinical stages of the disease. Furthermore, it is of importance to explore the potential for developing a predictive system or network to forecast disease onset and progression at the early stage of AD.

Indexed as

Alzheimer DiseaseBiomarkersEarly DiagnosisBrainCognitive DysfunctionDisease ProgressionHumansBiomarkersAlzheimer’s diseasebiomarkersearly diagnosisnon-cognitive symptoms

Identifiers

PMID38769282
PMCPMC11391414

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.