Evidence map›Paper›PMID 41383815›Full record

ReviewFrontiers in aging neuroscience2025

Unvalidated efficacy and significant risks hinder clinical use of deep cervical lymphatic-venous anastomosis for Alzheimer's disease.

Rui Zhang, Ying Ying Liu, Xun Xia, Xinjun Li

Abstract readReview
In one paragraph

Review 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Rui Zhang *Department of Neurosurgery, School of Clinical Medicine and The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Ying Ying Liu *Department of Neurology, Deyang People's Hospital, Deyang, Sichuan, China.
Xun XiaDepartment of Neurosurgery, School of Clinical Medicine and The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Xinjun LiDepartment of Neurosurgery, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and the pathological accumulation of amyloid-beta (Aβ) plaques and tau tangles. Recent studies suggest that dysfunction of the cerebral lymphatic clearance system may contribute to the progression of AD. This review critically examines the potential of deep cervical lymphatic-venous anastomosis (LVA) as a treatment for enhancing brain protein clearance and reducing cognitive decline in AD patients. Although animal models indicate that improving lymphatic drainage could facilitate Aβ clearance, clinical evidence is still insufficient. Current studies often have small sample sizes, short follow-up periods, and methodological weaknesses. Despite preliminary reports of cognitive improvements in small-scale clinical trials, the efficacy of LVA remains unproven, making widespread clinical adoption premature. Ethical concerns and technical challenges also pose significant barriers to clinical implementation. Rigorous randomized controlled trials (RCTs) are necessary to assess the long-term safety and efficacy of LVA for treating AD. Furthermore, the establishment of clear ethical and regulatory frameworks is essential before clinical use.

Indexed as

Alzheimer’s diseaseevidence-based medicineglial lymphatic systemlymphatic-venous anastomosismedical ethicsmeningeal lymphatic vessels

Identifiers

PMID41383815
PMCPMC12689522

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.