Evidence map›Paper›PMID 41111606›Full record

ArticleJournal of Alzheimer's disease reports

Preoperative perivascular space burden predicts treatment response to deep cervical lymphovenous anastomosis in Alzheimer's disease: A pilot study.

Xiuqing Wu, Rui Zhang, Wei Chen, Yifei Mei, Qiaoxia Hu, Wenting Lan, Yiwei Zhang, Zhaohui Ye, Changshun Huang, Binbin Zhu

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

10 authors.

Xiuqing WuDepartment of Anesthesiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Rui ZhangDepartment of Anesthesiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Wei ChenDepartment of Trauma Orthopedics, Wound Repair Surgery Team, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Yifei MeiDepartment of Geriatrics, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Qiaoxia HuDepartment of Geriatrics, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Wenting LanDepartment of Radiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Yiwei ZhangDepartment of Anesthesiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Zhaohui YeNingbo Key Laboratory of Human Microbiology and Precision Medicine the First Affiliated Hospital of Ningbo University, Ningbo, China.
Changshun HuangDepartment of Anesthesiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.
Binbin ZhuDepartment of Anesthesiology, the First Affiliated Hospital of Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-4255-9518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Deep cervical lymphovenous anastomosis (DLVA) shows promise for Alzheimer's disease (AD) treatment, but patient selection criteria remain undefined. Perivascular spaces (PVS) may predict glymphatic enhancement potential. Objective: To investigate whether preoperative magnetic resonance imaging (MRI) measures of PVS burden can predict treatment response to DLVA in AD patients and explore potential mechanisms through longitudinal glymphatic function assessment. Methods: Retrospective analysis of 10 AD patients undergoing DLVA. Preoperative T1-weighted MRI quantified PVS volumes using Frangi filtering. Treatment response was assessed at one month using Mini-Mental State Examination/Montreal Cognitive Assessment improvements ≥2 points. Results: Total PVS volume demonstrated perfect predictive accuracy for treatment response (AUC = 1.000) with an optimal cut-off of 5150 mm³ (sensitivity 100%, specificity 100%). White matter PVS volume also showed strong predictive performance (AUC = 0.875, cut-off 3630 mm³, sensitivity 75%, specificity 100%). The improved group had significantly higher preoperative PVS volumes (total PVS: p = 0.012, Cohen's d = 2.631; white matter PVS: p = 0.050, Cohen's d = 1.689). Preliminary longitudinal analysis revealed divergent Analysis Along the Perivascular Space (ALPS) index changes: the improved group showed mean increase (+0.0276), while the non-improved group demonstrated decrease (-0.0252). Conclusions: Preoperative PVS burden serves as a powerful predictor of DLVA response, with higher volumes indicating sufficient anatomical reserve for therapeutic benefit. These findings establish PVS volume as clinically actionable biomarkers for precision patient selection in glymphatic-targeted AD interventions.

Indexed as

Alzheimer's diseasedeep cervical lymphovenous anastomosisglymphatic systemmagnetic resonance imagingperivascular spacespredictive biomarkers

Identifiers

PMID41111606
PMCPMC12534800

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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.