Contact Dermatitis in Saffron Workers: Clinical Profile and Identification of Contact Sensitizers in a Saffron-Cultivating Area of Kashmir Valley of North India
Bibliographic record
Abstract
BACKGROUND: Saffron, a bulbous perennial plant belonging to Iridaceae family, is the most expensive cultivated herb that is widely used for industrial and nonindustrial purposes. However, besides its attractive and valuable properties, contact dermatitis due to saffron is an uncommon reported entity. OBJECTIVES: The aims of this study were to determine the clinical pattern patch-testing profile of contact dermatitis in saffron workers and to identify the most common allergens/sensitizers. MATERIAL AND METHODS: One hundred ten saffron workers were patch-tested with 39 allergens, which included Indian standard series antigens, plant series antigens, and extracts from different parts of saffron flower. RESULTS: The allergens in Indian standard series accounted for 52.44% of positive reactions. Plant series and different parts of saffron accounted for 47.56% of the positive reactions. Among those patients with positive responses to the supplemental saffron allergens, 83.3% were of present or past relevance. CONCLUSIONS: The data observed in the present study confirm that the saffron dermatitis is a distinct clinical entity with characteristic clinical presentation and has a strong significance as an occupational allergen in those handling this plant. Patch testing with different parts of saffron flower has a role to play in finding out the etiological cause.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".