Serological and psychological assessment of patients with oral lichen planus using serum cortisol levels and hads questionnaire—a case control study
Bibliographic record
Abstract
BACKGROUND: Oral lichen planus (OLP) is a T cell-mediated chronic autoimmune disorder directed against antigens secreted by the basal cell layer, with an incidence of 0.02-0.22% in Indian population and showing female predilection. Stress is considered one of the etiological factors in the causation, progression, and recurrence of this disease. OBJECTIVES: To evaluate the levels of serum cortisol, anxiety, and depression in patients with symptomatic OLP and to correlate the levels of serum cortisol with anxiety and depression. METHODS: Sixty subjects were categorized into two groups. Group A: 30 adults with no history of OLP and no psychological history of anxiety and depression. Group B: 30 patients with clinically and histopathologically diagnosed symptomatic OLP. The subjects in both groups were evaluated for anxiety and depression levels using the Hospital Anxiety and Depression Scale (HADS) questionnaire and serum cortisol levels (8-9 am sample) using the chemiluminiscence method. RESULTS: Higher depression and anxiety levels were significantly associated with group B with significant P values (P < 0.0001 and <0.0002 respectively) when compared with group A; higher mean serum cortisol levels were seen in group B compared with group A, with P < 0.0001. In group A, a positive correlation was found between depression, anxiety, and serum cortisol levels with non-significant P-value. In group B, a positive correlation was found between depression, anxiety, and serum cortisol levels with a significant P value (P < 0.0001). CONCLUSION: Increased levels of depression and anxiety with increased serum cortisol levels were observed in subjects with OLP.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".