Antipsychotic Dose in Acute Schizophrenia: A Meta-analysis
Bibliographic record
Abstract
Little is known regarding optimal antipsychotic doses in the acute phase of schizophrenia. The aim of the present study was to employ the concept of minimum effective dose (MED) in examining efficacy and tolerability within this population. MED was identified for each antipsychotic through a previous systematic review. We then identified double-blind placebo-controlled randomized trials that involved fixed-dose antipsychotic monotherapy in acute schizophrenia and compared the identified MED vs higher doses of the same oral antipsychotic. Studies were selected from a recent meta-analysis examining dose-response relationship of second-generation antipsychotics and haloperidol. We extracted the data on study discontinuation, psychopathology, extrapyramidal symptoms, and treatment-emergent adverse events. For each antipsychotic, we conducted a meta-analysis to compare outcomes between MED and 2-fold MED, and MED and 3-fold MED. A total of 26 studies involving 5618 patients were included in the meta-analysis. In terms of study discontinuation, significant differences were found in study discontinuation due to lack of efficacy between MED and higher doses, in favor of 2-fold and 3-fold MEDs. Regarding psychopathology, both 2-fold and 3-fold MEDs were superior to MED for total and positive symptom scores. As for side effects, 2-fold MED proved inferior to MED for parkinsonism scores and diarrhea, whereas 3-fold MED was inferior for akathisia, somnolence, and vomiting. Findings suggest that clinicians can dose an antipsychotic at 2-fold or 3-fold MED for patients with acute schizophrenia but should closely monitor side effects.
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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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.064 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".