The Effect of Folic Acid Adjuvant on Cognitive Function on Patients with Chronic Schizophrenia
Bibliographic record
Abstract
ABSTRACT Background: Schizophrenia is a severe mental disorder that associated with daily life and social function deterioration and could be accompanied with cognitive deficits. Meanwhile, hyperhomocysteinemia (HHcy) is the increasing homocysteine (Hcy) level which might be the one of biological factor in schizophrenia. In recent study with healthy subjects, it was known that there was a correlation between total Hcy level and cognitive function. Folic acid is part of water-soluble vitamin B and expected to have important role in oxidative stress by preventing hyperhomocysteinemia.Objective: This study aimed to elaborate the effect of folic acid adjuvant to improve cognitive function in chronic schizophrenia patients.Methods: This was a double-blinded randomized controlled trial with pre and post-test clinical trial design. This study included 32 patients in control group and 32 patients in treatment group. MOCA-INA score was examined in all subjects on the first day. Then, all subjects were given standard antipsychotic treatment plus folic acid adjuvant / placebo during 3 week of hospitalized treatment and 1 week of outpatient treatment. When the 4-week treatment finished, the subjects were followed by MOCA-INA post-test.Results: In this study, we had the significant difference of pre and post-test MOCA-INA score in the control group (p<0.001), significant difference of pre and post-test MOCA-INA score in the treatment group (p<0.001), and significant difference of post-test MOCA-INA score between the control and treatment group (p<0.001).Conclusion: Folic acid adjuvants significantly improved cognitive function in chronic schizophrenic patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".