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Record W4411577041 · doi:10.1192/bja.2025.10112

Neuroprotective effects of statins and cyclodextrins: review and potential role in dementia treatment

2025· article· en· W4411577041 on OpenAlexaff
Qutub Jamali, Chukwuma Oraegbunam

Bibliographic record

VenueBJPsych Advances · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsOlds College
Fundersnot available
KeywordsNeuroprotectionDementiaMedicinePharmacologyNeuroscienceInternal medicinePsychologyDisease

Abstract

fetched live from OpenAlex

SUMMARY Dementia is a progressive and irreversible deterioration in cognition that has a significant impact on the person’s activities of daily living and quality of life. Currently, there is no curative treatment for dementia, and the treatments used in clinical practice have limited therapeutic reach. We begin this descriptive review with a discussion of apolipoprotein E4 (apoE4) and its role in the pathogenesis of dementia. We consider the molecular involvement of statins and why they are no longer clinically indicated in mild cognitive impairment or mild to moderate dementia. We then explore the evidence regarding the effects of statins and cyclodextrins on apoE4, presenting evidence in support of and against their neuroprotective effects in cognitive impairment. Although the studies on cyclodextrins have all been on animals, they provide a strong background for a potential research hypothesis for future clinical trials in the treatment of 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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.003
GPT teacher head0.274
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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