Clinical Efficacy of Olanzapine in the Treatment of Behavioral and Psychological Symptoms of Dementia in Senile Patients
Bibliographic record
Abstract
Objective To investigate the efficacy of Olanzapine in the treatment of behavioral and psychological symptoms of dementia(BPSD) in senile patients.Methods 74 senile patients with BPSD admitted to our hospital or at clinic from January 2011 to October 2011 were treated with Olanzapine and all the patients were observed for eight weeks.Brief psychiatric rating scale(BPRS) and Montreal cognitive assessment(MoCA) were used to assess the efficacy before the treatment and at the first week,the second week,the fourth weeks and the eighth week of the treatment.Results After eight weeks treatment,the total score of MoCA was(20.196±4.537),and the score was(17.332±5.241) before the treatment.The difference was statistically significant(t=1.745,P0.05).The total BPRS score and each factor score at the first week,the second week,the fourth week and the eighth week of treatment all showed statistically significant differences compared with those before the treatment(P0.05).The total BPRS score at the first week,the second week,the fourth week and the eighth week of treatment all showed statistically significant differences compared with each factor score(P0.05).Adverse reactions were somnolence in seven cases,feebleness in three cases,dizziness in three cases,headache in one case and unsteady walking in one case.No one had cardiac dysfunction.Conclusion The clinical efficacy of Olanzapine in the treatment of BPSD in senile patients is positive with good safety.
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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) | 0.000 | 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".