A Placebo-Controlled Trial of Valproate for Agitation and Aggression in Alzheimer’s Disease
Bibliographic record
Abstract
BACKGROUND/AIMS: To assess the efficacy and tolerability of valproate for the treatment of agitation and aggression in moderate-to-severe Alzheimer's disease (AD). METHODS: This was a randomized, double-blind, placebo-controlled crossover trial of valproate in institutionalized AD patients. Patients were assessed with the Neuropsychiatric Inventory (NPI) and Cohen-Mansfield Agitation Inventory at baseline and after 6 weeks of treatment with valproate and placebo, with 2 weeks between phases to allow for placebo washout and tapering. RESULTS: Fourteen patients (8 male/6 female) aged 85.6 +/- 4.5 years with baseline Mini Mental State Examination scores of 4.5 +/- 4.6 and NPI agitation/aggression scores of 6.4 +/- 3.5 were randomized to treatment. NPI agitation/aggression treatment change scores significantly worsened during valproate treatment compared with placebo (Z = -2.03, p = 0.04). Tolerability of valproate was also poor, with patients experiencing a significantly greater mean number of adverse events during valproate therapy compared to placebo (Z = -2.82, p = 0.005). CONCLUSION: Valproate is not effective for the management of agitation in moderate-to-severe AD, and may be poorly tolerated in this population.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".