Chrysiasis induced by Q Switched Nd:YAG laser: A case report and review of literature
Bibliographic record
Abstract
Chrysiasis refers to blue to slate gray skin pigmentation induced by prolonged treatment with gold salts. Although now an uncommon modality for treatment of arthritis, chrysiasis may still be seen as it can develop even decades after discontinuation of gold therapy. We hereby report a rare case of Q-switched Nd:YAG laser induced chrysiasis in a 65 year old woman who underwent laser treatment for melasma with immediate blue-gray discoloration. She was a known case of rheumatoid arthritis with history of treatment with oral gold salts about 20 years ago. Interestingly this is the first case of chrysiasis induced by laser being reported outside of US and Canada. Dermatologists must be aware of risk of laser induced chrysiasis in individuals with history of gold therapy and this point should be included in history taking as a leading question especially in patients who have received treatment for autoimmune arthiritis (PsA, RA). Key-words: Q Switched Nd:YAG laser, Chrysiasis Key Messages: Dermatologists must be aware of risk of laser induced chrysiasis in individuals with history of gold therapy and this point should be included in history taking as a leading question especially in patients who have received treatment for autoimmune arthiritis (PsA, RA)
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.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".