Evidence map›Paper›PMID 41383372›Full record

ReviewNeuroprotection (Chichester, England)2024

Blood-based biomarkers of Alzheimer's disease: Standardization and comprehensiveness.

Ying Liu, Yu Guo, Jintai Yu

Abstract readReview
In one paragraph

Review in Neuroprotection (Chichester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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  7. 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

3 authors.

Ying LiuState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology and National Center for Neurological Disorders Huashan Hospital, Shanghai Medical College, Fudan University Shanghai China.ORCID 0000-0002-0901-9109
Yu GuoState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology and National Center for Neurological Disorders Huashan Hospital, Shanghai Medical College, Fudan University Shanghai China.
Jintai YuState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology and National Center for Neurological Disorders Huashan Hospital, Shanghai Medical College, Fudan University Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population aging is sweeping across the globe, resulting in a striking prevalence of Alzheimer's disease (AD) and dementia and a heavy economic burden. Given the time window of 10-20 years from pathological initiation to clinically detected cognitive impairment, early detection can significantly impact the prevention and control of AD. The invasiveness and high cost of cerebrospinal fluid biomarkers and positron emission tomography-computed tomography imaging limit large-scale disease screening. However, blood-based biomarkers (BBMs) lack these disadvantages, shedding light on their usefulness in the large-scale identification and prevention of AD. Prominent advancement has recently been made regarding BBMs of AD co-pathology (amyloid β, tau protein, neurofilament light polypeptide, and glial fibrillary acidic protein) to improve their accuracy as clinical diagnostics of AD to a level comparable to that of canonical methods, facilitating the large-scale clinical implementation of diagnostic tests with higher precision. To briefly summarize, the prospects of AD BBMs rely on standardization and comprehensiveness. Calibrating the sample collection procedure and clarifying the boundaries for indices and abnormalities are beneficial for constructing a canonical diagnostic assay. The comprehensive assembly of heterogeneous clinical evidence guarantees the accuracy of diagnosis and improves the workflow for early identification.

Indexed as

Alzheimer's diseaseblood‐based biomarkerscomprehensivenessstandardization

Identifiers

PMID41383372
PMCPMC12486900

What OpenQuestion holds

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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 OpenQuestion graph.