Vitamin D Serum Level in Patients with Schizophrenia in West Java, Indonesia
Bibliographic record
Abstract
Background: Vitamin D is an immune-regulator that influences the neuro-inflammation process in schizophrenia. The study aimed to explore the vitamin D serum level in schizophrenic patients at the outpatient clinic of the Provincial Mental Hospital, West Java, Indonesia.Methods: A quantitative descriptive study was conducted in November-December 2019 using secondary data of all-male schizophrenic patients at the Provincial Mental Hospital. Data collected were demographic characteristics, clinical characteristics, and vitamin D Level. Scoring was then performed using Positive and Negative Syndrome Scale (PANSS) and Montreal Cognitive Assessment (MoCA) to assess the positive and negative symptoms as well as the cognitive symptoms based on the serum vitamin D levels.Result: All male schizophrenic patients had a low serum vitamin D level (mean16.67±5.6ng/ml) with 64.52% of them had vitamin D deficiency (<20 ng/ml). Interestingly, patients with vitamin D deficiency had a negative symptom (mean22.1±5.6ng/ml) whereas those with vitamin D insufficiency (20-29 ng/ml) had a positive symptom (mean 18.55±5.6ng/ml). Furthermore, patients with vitamin D deficiency had a lower impaired cognitive function value (mean 19.7±3.4ng/ml) compared to those with vitamin D insufficiency.Conclusions: A low vitamin D serum level in schizophrenic patients may play a role in the pathogenesis of this disorder. Further studies are needed to confirm this finding.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".