Evaluating the Effect of Melatonin on Positive and Negative Symptoms of Schizophrenic Patients: A Randomized Placebo-Controlled Study
Bibliographic record
Abstract
Objective: Schizophrenia is known as a severe psychiatric disorder with a broad range of clinical indications and symptoms such as positive and negative symptoms. This study was conducted with the aim of investigating the effect of melatonin on positive and negative symptoms of inpatients with schizophrenia. Method: This study was conducted as a randomized placebo-controlled trial (double-blind) in the population of patients with schizophrenia. Study samples were selected from inpatients with schizophrenia, according to the DSM-5 criteria, who had not been diagnosed with a depressive episode of schizophrenia based on the Calgary questionnaire and who also met the inclusion criteria. 46 patients with schizophrenia were randomly assigned to the intervention (6 mg melatonin per day as two 3 mg pills for six weeks) and placebo groups. The positive and negative symptom scale (PANSS) was used to assess the effect of treatment at T1 (before intervention), T2 (three weeks after beginning the intervention) and T3 (six weeks after beginning the intervention). To check the research hypotheses, multiple comparison statistics were used by the SPSS 22 software. Results: The placebo and melatonin groups had no significant difference in terms of PANSS scores (negative, positive, general and total symptom scores) at T1. Also, there was no difference in PANSS scores between the two groups at T2. However, at T3, there was a significant difference between the two groups only in the score of negative symptoms of PANSS (P = 0.036), so that negative symptoms of schizophrenia were significantly reduced in the intervention group compared to the placebo group. Furthermore, based on within-group analyzes, all PANSS scores were significantly reduced in the two groups at T2 and T3 (P < 0.05). Conclusion: Long-term use (at least six weeks) of melatonin can improve the negative symptoms of schizophrenia. Since antipsychotics can better affect the positive symptoms, the use of melatonin in combination with these drugs may perhaps further improve the patients’ symptoms.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".