Evidence map›Paper›PMID 40207045›Full record

ArticleFrontiers in aging neuroscience2025

Assessing diagnostic performance of plasma biomarkers in Alzheimer's disease versus cognitively unimpaired individuals: P-tau217 emerges as the optimal marker in Chinese cohorts.

Shinan Wang, Dequan Liu, Haiyan Li, Xiaodong Jia, Hailan Zhou, Wenying Yu, Tong Li, Liping Pan, Baorong Chen, Yujia Wang and 3 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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
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  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

13 authors.

Shinan Wang *Tianjin Medical University General Hospital, Tianjin, China.
Dequan Liu *Tianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Haiyan LiTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Xiaodong JiaTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Hailan ZhouTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Wenying YuTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Tong LiTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.
Liping PanTianjin Medical University General Hospital, Tianjin, China.
Baorong ChenTianjin Key Laboratory of Multi-omics Precision Diagnosis Technology for Neurological Diseases, Tianjin, China.
Yujia WangGuangZhou Kingmed Diagnostics Laboratory Co. Ltd., Guangzhou, Guangdong, China.
Nan ZhanTianjin Medical University General Hospital, Tianjin, China.
Yijun SongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
Keqiang YanTianjin Kingmed Diagnostics Laboratory Co. Ltd., Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Simoa platform is recognized as a highly sensitive tool for detecting blood-based biomarkers of Alzheimer's disease (AD). It is extensively utilized in the diagnosis and identification of AD, with accuracy emerging as a pivotal metric for assessing assay performance, gradually gaining acceptance and application. The primary objective of this study was to assess the diagnostic efficacy of multiple biomarkers in AD using the Simoa platform. The ultimate goal was to identify the optimal diagnostic biomarkers and further investigate their practical application value in the Chinese population. Methods: The study comprised two cohorts: cohort I consisted of 151 healthy controls and 90 AD patients, while cohort II was sourced from a Chinese population cohort, encompassing 123 healthy controls and 126 AD patients, utilizing publicly available data. All patients underwent plasma biomarker concentration measurements using the Simoa platform. The specificity, sensitivity, and accuracy of these biomarkers for AD diagnosis were compared to evaluate their diagnostic efficacy. Results: The findings revealed that plasma P-tau217 exhibited excellent performance in differentiating AD from healthy controls, with a sensitivity of 95.0%, specificity of 96.0%, and accuracy of 95.7% for AD diagnosis. Conversely, other indicators, including Aβ42, Aβ42/40, T-tau/Aβ42, P-tau217/Aβ42 and P-tau181, demonstrated some diagnostic efficacy but fell short of meeting the diagnostic criteria. Discussion: P-tau217 stands out as a highly effective biomarker for distinguishing AD from CUC, exhibiting extensive clinical application potential in the Chinese population. It presents a promising array of clinical prospects for the Chinese population.

Indexed as

Alzheimer’s diseaseATNplasma biomarkersP-tau217Simoa

Identifiers

PMID40207045
PMCPMC11979274

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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.