Evidence map›Paper›PMID 40046335›Full record

ArticleBrain communications2025

Plasma biomarkers for diagnosis and differentiation and their cognitive correlations in patients with Alzheimer's disease.

Wenhao Sun, Shuwei Ye, Yu Wang, Huifeng Chen, Ping Che, Jingshan Chen, Nan Zhang

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

Wenhao SunDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Shuwei YeDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Yu WangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Huifeng ChenDepartment of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin 300300, China.
Ping CheDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jingshan ChenDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Nan ZhangDepartment of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.ORCID https://orcid.org/0000-0002-9675-5322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has shown the potential value of plasma biomarkers in Alzheimer's disease diagnosis. This study aimed to determine the diagnostic and differential values of emerging plasma biomarkers for different types of dementia in a Chinese population and to explore their cognitive correlations. One hundred twenty patients with dementia, including 51 Alzheimer's disease patients, 54 subcortical ischaemic vascular dementia (SIVD) patients and 15 frontotemporal lobar degeneration (FTLD) patients were recruited alongside 27 cognitively unimpaired (CU) control subjects. Global and domain-specific cognition was assessed in all participants by a battery of neuropsychological tests. Plasma amyloid-beta (Αβ)42, Aβ40 and total tau (in CU controls and Alzheimer's disease patients) and phosphorylated tau at threonine-181 (

Indexed as

Alzheimer’s diseaseamyloid βglial fibrillar acidic proteinplasma biomarkerP-tau181

Identifiers

PMID40046335
PMCPMC11881799

What OpenQuestion holds

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Registered trials

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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.