Adjunctive <i>Garcinia mangostana</i> Linn. (Mangosteen) Pericarp for Schizophrenia: A 24-Week Double-blind, Randomized, Placebo Controlled Efficacy Trial: Péricarpe d’appoint Garcinia mangostana Linn (mangoustan) pour la schizophrénie : un essai d’efficacité de 24 semaines, à double insu, randomisé et contrôlé par placebo
Bibliographic record
Abstract
OBJECTIVES: Linn. ("mangosteen") pericarp contains bioactive compounds that may target biological pathways implicated in schizophrenia. We conducted a double-blind randomized placebo-controlled trial evaluating the efficacy of adjunctive mangosteen pericarp, compared to placebo, in the treatment of schizophrenia. METHODS: ), recruited across 2 sites (Brisbane and Victoria, Australia), were randomized to receive 24 weeks of adjunctive mangosteen pericarp (1,000 mg/day) or matched placebo. The primary outcome measure was the Positive and Negative Symptom Scale total score. Secondary outcomes included positive and negative symptoms, general psychopathology, clinical global severity and improvement, participant reported overall improvement, depressive symptoms, functioning, quality of life, and safety data at 24 and 28 weeks (4 weeks postdiscontinuation). Data were collected from July 2016 to February 2019. RESULTS: Baseline assessments were conducted on 148 people (mangosteen = 74, placebo = 74); data analyses were conducted on 136 (92%) participants with postbaseline data. The treatment group had significantly higher symptom severity compared to placebo, and both groups significantly improved on all symptom, functioning, and quality of life measures over time. No between-group differences were found for the rate of change between baseline and 24 or 28 weeks. CONCLUSION: Despite promising preclinical and clinical work, our results do not support mangosteen pericarp extract as an adjunctive treatment for schizophrenia or schizoaffective disorder.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".