Sweet syndrome with panniculitis, arthralgia, episcleritis, and neurologic involvement precipitated by antibiotics
Bibliographic record
Abstract
BACKGROUND: Sweet syndrome is an uncommon skin condition, often idiopathic in origin although it may be reactive to various systemic conditions, recent infections, underlying malignancies, and medications. OBJECTIVE & METHOD: To present a case highlighting a rare clinical presentation and to review the causes of Sweet syndrome with an emphasis on drug-induced etiologies. RESULTS: We describe a 45-year-old woman who developed Sweet syndrome while receiving nitrofurantoin and ciprofloxacin for a urinary tract infection. Her course of disease was complicated by arthralgias, episcleritis, headaches, and erythema nodosum-like subcutaneous involvement. There was marked improvement with discontinuation of the inciting antibiotics and initiation of systemic steroids. CONCLUSION: This case illustrates Sweet syndrome related to nitrofurantoin and/or ciprofloxacin. This is the second report of Sweet syndrome related to these antibiotics and the first associated with ocular, joint, and neurologic involvement.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".