Clinical and metabolic response to vitamin D plus probiotic in schizophrenia patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This study determined the effects of a novel combination of vitamin D and probiotic on metabolic and clinical symptoms in chronic schizophrenia. METHODS: CFU/day probiotic (n = 30) or placebo (n = 30) for 12 weeks. RESULTS: Vitamin D and probiotic co-supplementation was associated with a significant improvement in the general (- 3.1 ± 4.7 vs. + 0.3 ± 3.9, P = 0.004) and total PANSS scores (- 7.4 ± 8.7 vs. -1.9 ± 7.5, P = 0.01). Vitamin D and probiotic co-supplementation also significantly increased total antioxidant capacity (+ 51.1 ± 129.7 vs. -20.7 ± 53.3 mmol/L, P = 0.007), and significantly decreased malondialdehyde (- 0.3 ± 0.9 vs. + 0.2 ± 0.4 μmol/L, P = 0.01) and high sensitivity C-reactive protein levels (- 2.3 ± 3.0 vs. -0.3 ± 0.8 mg/L, P = 0.001) compared with the placebo. Moreover, taking vitamin D plus probiotic significantly reduced fasting plasma glucose (- 7.0 ± 9.9 vs. -0.2 ± 9.9 mg/dL, P = 0.01), insulin concentrations (- 2.7 ± 2.3 vs. + 0.4 ± 2.0 μIU/mL, P < 0.001), homeostasis model of assessment-estimated insulin resistance (- 0.8 ± 0.7 vs. + 0.1 ± 0.7, P < 0.001), triglycerides (- 7.8 ± 25.2 vs. + 10.1 ± 30.8 mg/dL, P = 0.01) and total cholesterol levels (- 4.9 ± 15.0 vs. + 5.9 ± 19.5 mg/dL, P = 0.04) and total-/HDL-cholesterol ratio (- 0.1 ± 0.6 vs. + 0.3 ± 0.8, P = 0.04). CONCLUSION: Probiotic and vitamin D for 12 weeks to chronic schizophrenia had beneficial effects on the general and total PANSS score, and metabolic profiles. TRIAL REGISTRATION: This study was retrospectively registered in the Iranian website ( www.irct.ir ) for clinical trials registration ( http://www.irct.ir : IRCT2017072333551N2). 07-31-2017 2.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it