A meta-analysis of profile and time-course of symptom change in acute schizophrenia treated with atypical antipsychotics
Bibliographic record
Abstract
The profile and time-course of symptom response in acute schizophrenia is unclear. For the present study, we hypothesized that the time-course would be nonlinear. A meta-analysis was performed using randomized, controlled clinical trials of five atypical antipsychotics reported in nine electronic databases. Studies were of subjects experiencing an acute exacerbation of illness, with multiple BPRS or PANSS data-points as outcome measures. A mixed factorial repeated-measures ANOVA was used. Twenty-one published clinical trials were identified. Reduction in total symptoms from baseline to 4 wk was associated with a linear decline in symptomatology (F=23.4, d.f.=1, 7, p=0.002) without attenuation of effect. In contrast, from baseline to 6 wk the linear symptom reduction (F=76.5, d.f.=1, 12, p<0.001) eventually flattened at the end of the trial (F=87.2, d.f.=1, 12, p<0.001). Secondary analyses showed a similar pattern for typical antipsychotics, and the same profile for risperidone and olanzapine as for atypical agents as a whole. Inclusion of LOCF data altered the results at 4 wk, but not 6 wk; completion rates had no effect on results. In conclusion, this meta-analysis confirms our hypothesis for 6-wk data. The profile of symptom change is one of linear symptom reduction until 4 wk, with a flattening of treatment effects by 6 wk. A curvilinear profile of schizophrenia symptom reduction has possible implications with respect to trial design and clinical decision-making.
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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 | 0.027 | 0.035 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.059 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".