A Double-Blind, Randomized Controlled Trial of Hydroxychloroquine for Cognitive Dysfunction and Inflammatory Biomarkers in Systemic Lupus Erythematosus Patients in Indonesia
Bibliographic record
Abstract
BACKGROUND: Systemic lupus erythematosus (SLE) is an autoimmune condition characterized by persistent, chronic inflammation that damages organ tissue. One of the symptoms that is often found in SLE is cognitive dysfunction. Hydroxychloroquine is recommended for the treatment of all levels of SLE. This study was conducted to prove the influence of hydroxychloroquine on improving cognitive function and inflammatory biomarkers compared to standard therapy.METHODS: The study adopted randomized controlled trial (RCT) in SLE patients with cognitive dysfunction who met the inclusion criteria. The treatment group consisted of 26 subjects who received hydroxychloroquine 200 mg/day for 8 weeks and standard therapy, while the control group consisted of 29 subjects who were given standard therapy only. Examination of Montreal Cognitive Assessment (MoCA)-INA, interleukin (IL)-6, IL-4, interferon (IFN)-α, and C-reactive protein (CRP) scores was carried out at the beginning and the end of the study. The unpaired variables were examined with independent T-test or the Mann-Whitney test, while the paired variables were examined with paired T-test or Wilcoxon signed rank test. The Spearman correlation test was used to measure correlation between variables.RESULTS: A total of 55 subjects participated and completed the study. The result showed a significant relationship between hydroxychloroquine and decreasing levels of IL-6 and IL-4 (p<0.05). Meanwhile, there was no significant effect on the increase in cognitive function and decrease in IFN-α and CRP (p>0.05) in both groups.CONCLUSION: Hydroxychloroquine decreases the levels of IL-6 and IL-4, but has no effect on cognitive function, levels of IFN-α and CRP.KEYWORDS: hydroxychloroquine, systemic lupus erythematosus, cognitive dysfunction, inflammation
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".