Efficacy and tolerability of olanzapine in elderly patients with psychotic disorders: a prospective study.
Bibliographic record
Abstract
Olanzapine is a novel antipsychotic effective in reducing positive and negative symptoms of schizophrenia and with a safe side-effect profile. Premarketing trials, however, included only a few elderly patients. Further data are needed regarding the effects of olanzapine in the elderly and those with comorbid medical illness. In this pilot study, 11 hospitalized patients (age range 60-85 years) who manifested symptoms of psychosis related to schizophrenia and schizoaffective disorders were treated with olanzapine (dose range, 5-20 mg/day). Efficacy and safety were assessed by the Positive and Negative Syndrome Scale (PANSS), Clinical Global Impression Scale (CGI), Extrapyramidal Symptom Rating Scale (ESRS), Mini-Mental State Examination (MMSE), Calgary Depression Scale For Schizophrenia (CDSS), EKG, physical examination, and various laboratory tests. Seven patients responded to treatment and all of them showed improvement in both positive and negative symptoms, with greater reduction in positive symptoms. Treatment was discontinued in 2 patients whose symptoms showed no improvement or worsened. The CGI showed significant improvement in 9 patients, remained the same in 1, and worsened in 1 patient. ESRS showed significant reduction from baseline to final visit. Of the 10 patients who cooperated for MMSE, 9 had improved scores. The CDSS showed significant reduction in scores from baseline to final visit. No significant changes were noted in laboratory tests, prolactin levels, EKG, and physical examination. Concomitant administration of lorazepam, carbamazepine, divalproex sodium, and lithium carbonate caused no adverse consequences. The reduction of positive and negative symptoms, lack of significant extrapyramidal symptoms and other side effects, and lack of any significant drug interaction suggest that olanzapine may be a safe and effective antipsychotic medication in the elderly.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".