Anti-inflammatory Combination Therapy for the Treatment of Schizophrenia
Bibliographic record
Abstract
BACKGROUND: Despite adequate antipsychotic treatment, most people with schizophrenia continue to exhibit persistent positive and negative symptoms and cognitive impairments. The current study was designed to examine the efficacy and safety of adjunctive anti-inflammatory combination therapy for these illness manifestations. METHODS: Thirty-nine people with either Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, schizophrenia or schizoaffective disorder were entered into a 12-week double-blind, 2-arm, triple-dummy, placebo-controlled, randomized clinical trial: 19 were randomized to anti-inflammatory combination therapy and 20 were randomized to placebo. The Brief Psychiatric Rating Scale positive symptom item total score was used to assess positive symptom change, the Scale for the Assessment of Negative Symptoms total score was used to assess negative symptom change, the Calgary Depression Scale total score was used to assess depressive symptom change, and the MATRICS Consensus Cognitive Battery was used to assess neuropsychological test performance. RESULTS: There was a significant time effect for Brief Psychiatric Rating Scale positive symptom item score (t226 = -2.66, P = 0.008), but the treatment (t54=1.52, P = 0.13) and treatment × time (t223 = 0.47, P = 0.64) effects were not significant. There were no significant time (t144 = 0.53, P = 0.72), treatment (t58=0.48, P = 0.63), or treatment × time (t143 = -0.20, P = 0.84) effects for the Scale for the Assessment of Negative Symptoms total score; or for any of the other symptom measures. There were no significant group differences in the change in the MATRICS Consensus Cognitive Battery composite score over the course of the study (F1,26=2.20, P = 0.15). CONCLUSIONS: The study results suggest that there is no significant benefit of combined anti-inflammatory treatment for persistent positive symptoms or negative symptoms or cognitive impairments (clinicaltrials.gov trial number: NCT01514682).
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".