Evidence map›Paper›PMID 36606209›Full record

ReviewJournal of Alzheimer's disease reports2022

Current and Future Trends in Biomarkers for the Early Detection of Alzheimer's Disease in Asia: Expert Opinion.

Nagaendran Kandiah, Seong Hye Choi, Chaur-Jong Hu, Kenji Ishii, Kensaku Kasuga, Vincent C T Mok

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of Alzheimer's disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Association of amyloid and cardiovascular risk with cognition: Findings from KBASE.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  8. Article
  9. Review
  10. AI-based differential diagnosis of dementia etiologies on multimodal data.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Review
  12. 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

6 authors at 6 institutions in 6 countries.

Nagaendran KandiahDementia Research Centre (Singapore), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0001-9244-4298
Seong Hye ChoiDepartment of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
Chaur-Jong HuDepartment of Neurology, Dementia Center, Shuang Ho Hospital, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Kenji IshiiTeam for Neuroimaging Research, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kensaku KasugaDepartment of Molecular Genetics, Center for Bioresources, Brain Research Institute, Niigata University, Niigata, Japan.
Vincent C T MokDivision of Neurology, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Chinese University of Hong Kong · HKInha University · KRNanyang Technological University · SGNiigata University · JPTaipei Medical University-Shuang Ho Hospital · TWTokyo Metropolitan Institute of Gerontology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) poses a substantial healthcare burden in the rapidly aging Asian population. Early diagnosis of AD, by means of biomarkers, can lead to interventions that might alter the course of the disease. The amyloid, tau, and neurodegeneration (AT[N]) framework, which classifies biomarkers by their core pathophysiological features, is a biomarker measure of amyloid plaques and neurofibrillary tangles. Our current AD biomarker armamentarium, comprising neuroimaging biomarkers and cerebrospinal fluid biomarkers, while clinically useful, may be invasive and expensive and hence not readily available to patients. Several studies have also investigated the use of blood-based measures of established core markers for detection of AD, such as amyloid-β and phosphorylated tau. Furthermore, novel non-invasive peripheral biomarkers and digital biomarkers could potentially expand access to early AD diagnosis to patients in Asia. Despite the multiplicity of established and potential biomarkers in AD, a regional framework for their optimal use to guide early AD diagnosis remains lacking. A group of experts from five regions in Asia gathered at a meeting in March 2021 to review the current evidence on biomarkers in AD diagnosis and discuss best practice around their use, with the goal of developing practical guidance that can be implemented easily by clinicians in Asia to support the early diagnosis of AD. This article summarizes recent key evidence on AD biomarkers and consolidates the experts' insights into the current and future use of these biomarkers for the screening and early diagnosis of AD in Asia.

Indexed as

Alzheimer’s diseaseAsiaAT(N)biomarkersdementiaearly diagnosis

Identifiers

PMID36606209
PMCPMC9741748
OpenAlexW4309679265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.