The effect of age on the pharmacological management of ambulatory patients treated with depot neuroleptic medications for schizophrenia and related psychotic disorders
Bibliographic record
Abstract
BACKGROUND: Cross-sectional studies indicate that, in comparison to younger patients, older schizophrenic patients have a higher risk for neuroleptic-induced Parkinsonism and tardive dyskinesia (TD). It has been suggested, therefore, that older patients with schizophrenia could be maintained on reduced doses of conventional neuroleptics. METHOD: We examined the effect of age on psychopharmacological management in a naturalistic study of a group of 165 patients with a clinical diagnosis of schizophrenia or a related psychotic disorder (age range = 21-84 years; subjects > or = 1;45 years n = 86) treated with either haloperidol decanoate or fluphenazine decanoate. RESULTS: Increasing age was not correlated with total daily dose of neuroleptics or anticholinergic medication. However, a modest negative correlation of age with daily neuroleptic dose was found in patients aged 45 years and older. CONCLUSION: The results of this study highlight the need for prospective assessments of depot neuroleptic dose requirements in older patients suffering from primary psychotic disorders.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".