Treating Neuropsychiatric Symptoms in Dementia With Lewy Bodies
Bibliographic record
Abstract
Sensitivity to psychotropic medications presents a therapeutic challenge when treating neuropsychiatric symptoms in patients with dementia with Lewy bodies (DLB). We compared under randomized, double-blinded conditions the tolerability and efficacy of citalopram and risperidone in the treatment of behavioral and psychotic symptoms in patients with DLB and Alzheimer disease (AD). Thirty-one participants with DLB and 66 with AD hospitalized for behavioral disturbance were treated under randomized, double-blind conditions with citalopram or risperidone for up to 12 weeks. Neuropsychiatric symptoms were assessed with the nursing home version of the Neuropsychiatric Inventory (NPI) and the Clinical Global Impression of Change (CGIC). Side effects were measured using the UKU Side Effect Rating Scale. A significantly higher proportion of participants with DLB (68%) than with AD (50%) discontinued the study prematurely. Discontinuation rates were comparable in DLB participants treated with citalopram (71%) or risperidone (65%). However, participants with DLB randomized to risperidone experienced a higher overall burden of side effects. Scores on the NPI and the CGIC worsened in DLB participants and improved in those with AD. Most patients with behavioral disturbances or psychosis associated with DLB tolerate citalopram or risperidone poorly and do not seem to benefit from either medication.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".