Evidence map›Paper›PMID 42028071›Full record

ReviewNeuropsychiatric disease and treatment2026

Traditional Chinese Medicine for Alzheimer's Disease: Current Evidence and Chemometric Approaches for Multi-Target Evaluation.

Xiaojing Sun, Lingli Yang, Xiangming Wang

Abstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaojing Sun *Department of Neurology, TongRen Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, People's Republic of China.
Lingli Yang *Department of Neurology, TongRen Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, People's Republic of China.
Xiangming WangDepartment of Neurology, TongRen Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which there is currently no therapy that can fundamentally change the disease course. The limitations of single-target drugs have led the scientific community to turn to multi-target intervention strategies. In this context, traditional Chinese medicine (TCM) demonstrates potential in addressing the complex pathology of AD due to its "multi-component, multi-target, multi-pathway" overall regulatory characteristics. This review systematically reviews the current research status of TCM in the treatment of AD, with a particular focus on the evidence of its effects through multiple mechanisms such as reducing Aβ deposition, inhibiting excessive phosphorylation of Tau protein, regulating the cholinergic system, and alleviating neuroinflammation. Additionally, this article highlights how to utilize the "spectral efficacy relationship" combined with chemometrics methods (such as multiple regression, partial least squares regression, artificial neural networks, etc) to establish quantitative correlations between TCM chemical components and efficacy/clinical endpoints, thereby providing a methodological framework for evaluating the synergistic effects of TCM's multi-component interactions. The article also summarizes the evidence grades of currently commonly used TCM preparations in clinical practice and points out that future research needs to continuously deepen in areas such as standardized clinical endpoints, strict trial design, systematic safety assessment, and data-driven efficacy analysis. This review aims to provide theoretical references and research directions for integrating the holistic view of TCM with modern system analysis methods and promoting the development of multi-target treatment strategies for AD.

Indexed as

Alzheimer’s diseasespectrum-effect relationshipstatistical methodologytraditional Chinese medicinetreatment status

Identifiers

PMID42028071
PMCPMC13102110

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.