Potential Role of Lymphovenous Bypass in Mitigating Alzheimer's Disease Dementia
Bibliographic record
Abstract
Abstract This case report explores the therapeutic potential of lymphovenous bypass (LVB) surgery performed at the neck in neurodegenerative diseases, specifically Alzheimer's disease (AD) dementia. The subject is a 58-year-old woman who was previously healthy but began experiencing unexplained memory decline and frequent disorientation in the past 7 years, leading to an AD diagnosis. Despite ongoing pharmaceutical therapy, her symptoms progressed to severe dementia accompanied by behavioral and psychological symptoms of dementia (BPSD). Her Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were both 0/30, and 18F-AV-45 PET/CT revealed abnormal brain amyloid load. For salvage therapy, she underwent LVBs on her neck bilaterally. Postoperatively, she got better MMSE and MoCA scores with dramatic improvement in communication and activity. 18F-AV-45 PET/CT scans 4 months after surgery indicated a reduction in abnormal brain amyloid deposits. This case report highlights the potential effectiveness of LVB surgery in reducing brain amyloid load and attenuating cognitive impairment and BPSD. Further research with animal experiments and clinical trials is necessary to confirm these findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".