Role of oxidative stress in melasma: a prospective study on serum and blood markers of oxidative stress in melasma patients
Bibliographic record
Abstract
BACKGROUND: Melasma is a common pigmentary disorder presenting in the dermatological clinic. Many factors have been implicated in the pathogenesis, however, the cause still remains elusive. Recently the effect of oxidative damage has been proposed in the etiopathogenesis of melasma. This study was undertaken to evaluate the role of oxidative stress in patients with melasma. MATERIAL AND METHODS: Fifty patients with melasma, age 18 years of age and older, and an equal number of age and sex-matched controls were included in the study. Baseline severity assessment using the modified Melasma Area and Severity Index (modified MASI score) was done in all patients. Serum malondialdehyde, blood superoxide dismutase, and blood glutathione peroxidase levels were measured in cases and controls group and results were compared. RESULT: The serum levels of malondialdehyde, superoxide dismutase, and blood glutathione were significantly higher among the cases compared to controls. The difference in the serum concentrations was significant between the two groups (P < 0.01). A positive correlation was found between these enzyme levels and severity of melasma (modified MASI score); however, this correlation was statistically significant with serum malondialdehyde only. The level of oxidative stress among the male and female melasma patients was not statistically different. CONCLUSION: Oxidative stress was found to be increased in cases of melasma compared to the control group in this study. This substantiates the role of oxidative stress in etiopathogenesis of melasma; however, further studies are required to reach a definitive conclusion.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".