Granulomatosis with polyangiitis (Wegener’s) as a necrotizing gingivitis mimic: a case report
Bibliographic record
Abstract
INTRODUCTION: Granulomatosis with polyangiitis poses a significant diagnostic dilemma due its diverse presentations. Seemly isolated sites of disease, such as oral ulcers, may present to physicians working in primary care settings, the emergency room, and subspecialty fields as well as to dentists. Oral presentations are particularly challenging to identify and require a high index of suspicion and a detailed knowledge of the condition in order to diagnose and treat. We detail a case of granulomatosis with polyangiitis presenting as necrotizing gingivitis, one of the first of its kind to be reported. CASE PRESENTATION: An otherwise healthy 32-year-old, Caucasian woman presented to various physicians with progressive, painful oral ulcers. Following consultations with multiple primary care physicians and subspecialties, an initial diagnosis of severe infectious necrotizing gingivitis was made resulting in combination antibiotic treatment as well as surgical debridement involving extraction of all maxillary and three mandibular teeth. With the discovery of a positive cytoplasmic anti-neutrophil cytoplasmic antibody and a constellation of associated systemic symptoms, our patient was subsequently diagnosed with granulomatosis with polyangiitis. The treatment regimen of rituximab and methylprednisone was chosen in consideration of our patient's desire for future fertility and has been successful in inducing and maintaining remission. CONCLUSIONS: Following the case presentation, we review the current literature regarding granulomatosis with polyangiitis presentation, diagnosis and treatment. In discussing features of granulomatosis with polyangiitis presentation, diagnostic tests, and important new treatment options, we seek to enable physicians of all specialties to better recognize and begin appropriate treatment for this complex 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 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".