Beneficial Effects of Ginkgoselect™ Phytosome™ on Cognitive Impairment and Oxidative Stress in Mild-Moderate Dementia
Bibliographic record
Abstract
In this study, we investigated for the first time the effects of a standardized extract from Ginkgo biloba leaves formulated with phospholipids Ginkgoselect™ Phytosome™, GBP) in combination with Standard Management (SM) in mild-moderate Alzheimer’s Disease (AD), focusing on the modulation of subject’s cognitive ability and oxidative status. Participants with cognitive impairment freely decided to continue their SM protocol (donepezil 10 mg/day, rivastigmine 4.6 mg/day in patch and memantine 20 mg/day; n=37), or to receive GBP tablets 120 or 240 mg/day in combination with SM (n=43). Subjects were assessed at baseline and after 6 months for cognitive functions and exclusive mental abilities through specific neuropsychological tests, namely the Mini Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). We also evaluated the oxidative status through the determination of plasmatic derived reactive oxygen metabolites and anti-oxidant reserve through Plasma Antioxidant Test. After 6 months of supplementation with GBP to SM, subjects reported a significantly higher improvement in cognitive and neuropsychological functions, compared to those receiving only SM. Moreover, participants in the GBP with SM group reported a more remarkable decrease in oxidative load and an increase in the concentration of antioxidant molecules compared to the control group. Supplementation with GBP to SM demonstrates a positive effect in subjects with AD, helping them maintain or even increase their cognitive abilities, and improving their oxidative status both by reducing oxidative damage and by increasing the antioxidant reserve.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".