PRELIMINARY RESULTS FROM THE SYNERGIC TRIAL: A MULTIMODAL INTERVENTION FOR MILD COGNITIVE IMPAIRMENT
Bibliographic record
Abstract
Mild Cognitive Impairment (MCI) is a prevalent pre-dementia state. Emerging evidence supports that physical exercise and computerized cognitive training can independently improve cognitive outcomes. Recently, vitamin D deficiency has been associated with increased risk of progression to dementia. To date, a multimodal intervention based on physical exercises, combined with computerized cognitive training and vitamin D supplementation has not yet been tested in MCI. The SYNERGIC Trial (SYNchronizing Exercises, Remedies in Gait and Cognition) is a multisite clinical-trial aimed to improve cognition and delay progression from MCI to dementia, using the aforementioned multimodal intervention. 200 participants with MCI are being assigned to active or sham interventions. Active interventions (3 days/week) include combined aerobic and progressive resistance training exercise, progressive cognitive training, and vitamin D supplementation (4000 IU/daily) for 6 months. Control interventions consist of balance and toning exercises, control cognitive training, and placebo vitamin D. Primary outcome is improvement in ADAS-Cog 13 (range 0–84; lower scores indicate better cognitive function). ANCOVA adjusting for baseline values was the primary analysis. ClinicalTrials.gov Identifier: NCT02808676. Preliminary results show that combining exercise and cognitive training showed the best improvements on ADAS-Cog 13 after 6 months, followed by combined exercise (combined exercise and cognitive training: 11.67 ± 4.58; combined exercise: 15.29 ± 6.64; balance and toning: 20.77 ± 9.67; p= 0.010). The control group did not improve ADAS-Cog 13 scores. Our preliminary results show that a multimodal intervention with physical and cognitive training is feasible and have a positive effect in improving cognition in MCI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".