Effect of high-dose N-acetyl cysteine on the clinical outcome of patients with diabetic peripheral neuropathy: a randomized controlled study
Bibliographic record
Abstract
BACKGROUND: Diabetic peripheral neuropathy (DPN) is a vastly common and bothersome disorder with a clinically challenging course of treatment affecting patients with diabetes. This study aimed to evaluate the efficacy and safety of high dose oral N-acetyl cysteine (NAC) as adjuvant therapy on clinical outcome of DPN. METHODS: A prospective, randomized, parallel, open label, controlled clinical trial. Ninety eligible DPN patients were randomly assigned to either control group receiving standard of care or NAC group receiving standard of care treatment and NAC at a dose of 2400 mg/day for 12 weeks. Glutathione peroxidase (GPx), nuclear factor erythoid-2 related factor (NRF-2) and tumor necrosis factor (TNF) were measured at baseline and after 12 weeks to assess anti-oxidant and anti-inflammatory properties. Michigan neuropathy screening instrument (MNSI), Toronto clinical neuropathy score (TCNS), Diabetic neuropathy score (DNS), Diabetes-39 quality of life questionnaire (DQOL) and pain score were assessed at baseline and after 12 weeks. RESULTS: NAC group showed a significant increase (p < 0.05) in NRF-2 by 25.3% and GPx by 100% and a decline of 21.45% in TNF-alpha levels versus controls that reported a decline in NRF-2 and GPx and an increase in TNF-alpha. HgbA1C and AST levels significantly decreased in NAC versus controls (7.2 ± 1 vs 8 ± 1.1, p = 0.028 and 29.1 vs 55.4, p = 0.012) respectively. NAC administration resulted in a significant decline in MNSA, TCNS, DNS and pain scores versus controls that showed increase in all scores. The QOL total score and the anxiety and energy and mobility domain scores significantly decreased in the NAC group versus controls, p < 0.001. CONCLUSION: High dose NAC administered for 12 weeks modulated inflammation by reducing TNF-alpha and increasing GPx and NRF2 versus controls. NAC improved clinical outcomes of DPN reflected by a decline in neuropathy and pain scores and an improvement in QOL. CLINICAL TRIAL REGISTRATION NUMBER: NCT04766450.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".