Varicella-zoster virus reactivation and the risk of dementia
Bibliographic record
Abstract
Varicella-zoster virus (VZV) is a neurotropic virus that establishes lifelong latency in humans. VZV reactivation is associated with a wide range of symptoms, including herpes zoster (HZ; also known as shingles), and has been implicated in the development of dementia, although to an unknown extent. Here we present a large-scale longitudinal analysis of health records from more than 100 million individuals in the United States that demonstrates a consistent relationship of VZV reactivation with dementia after controlling for nearly 400 measured characteristics (covering demographics, socioeconomic factors, comorbidities, medications, proxies for healthcare-seeking behavior, shifts in clinical guidelines and completeness of records). We found that recurrent HZ was associated with an increased risk of dementia compared to a single HZ episode. Additionally, exposure to HZ vaccines was associated with a reduced risk of dementia compared to the control 23-valent pneumococcal polysaccharide vaccine. Furthermore, the reduced risk of dementia after administration of the live-attenuated zoster vaccine waned over time and was highly correlated with a waning of the vaccine-mediated protection against HZ. The dementia risk reduction at 3 and 5 years postexposure was also stronger in individuals who received multiple as opposed to only one dose of the recombinant HZ vaccine and those at greater risk of HZ. Our findings strongly implicate VZV reactivation as a modifiable risk factor for dementia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".