Granulomatous and systemic inflammatory reactions from tattoo ink: Case report and concise review
Bibliographic record
Abstract
Tattoo pigment can precipitate numerous inflammatory states, and granulomatous tattoo reactions are a diagnostically challenging form. The skin is the most common site of inflammation, but systemic inflammation can occur. Reactions to black tattoo ink have a broad differential of cutaneous and systemic conditions. Sarcoidosis is an important consideration because it is unclear whether it is a separate entity. Here we present a 31-year-old male who developed an inflammatory eruption where he had black tattoos. He also developed circular patches of scalp alopecia, monocular uveitis, and an enlarged axillary lymph node, initially thought to represent lymphoma. Tissue biopsy of the skin and lymph node revealed findings consistent with granulomatous tattoo reaction. Investigations for other diagnoses, including sarcoidosis, were negative. He was treated with systemic corticosteroids and then with topical corticosteroids and oral hydroxychloroquine. This case report demonstrates the diagnostic challenge associated with granulomatous tattoo ink reactions. Further studies are needed to improve characterization and management of this condition.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".