Granulomatous and systemic inflammatory reactions from tattoo ink: Case report and concise review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it