Effect of ashwagandha ( <i>Withania somnifera</i> ) extract with Sominone (Somin-On™) to improve memory in adults with mild cognitive impairment: A randomized, double-blind, placebo-controlled study
Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI) is a condition in which people have memory or thinking problems than other people of their age. This study evaluated the effectiveness and safety of ashwagandha extract standardized with Sominone (Somin-On™) in enhancing memory and cognitive functioning in adults with MCI. METHODS: In this randomized double-blind, placebo-controlled pilot study, 40 subjects with MCI were randomized in a 1:1 ratio to receive either Somin-On™ (250 mg daily) or a placebo for 60 days. The outcome measures, improvement in memory and other cognitive functions after 30 and 60 days were assessed using Montreal Cognitive Assessment (MoCA); Mini-mental state examination (MMSE); Wechsler Memory Scale-III (WMS-III)); and Shepard mental rotation task. RESULTS: Subjects treated with Somin-On™ showed significant improvements in immediate memory, general memory, working memory and visuospatial processing and the response assessed using WMS-III after 30 and 60 days outperforming the placebo group. Scores on the Shepard Mental Rotation test in Somin-On™ group showed a significant rise by 12.22% at 30 days and 31.67% at 60 days, from baseline. Significant improvement was observed with Somin-On™ in memory assessment scales viz. MoCA (7.83% at 30 days and 14.77% at 60 days, from baseline) and MMSE (9.26% at 30 days and 19.21% at 60 days, from baseline) compared to placebo group. CONCLUSIONS: The supplementation of Somin-On™ is an effective therapy to improve the immediate, general and working memory, as well as cognitive functions like attention and information processing speed in adults with MCI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".