Granulomatosis with polyangiitis mistaken as a temporomandibular joint disorder: A case report
Bibliographic record
Abstract
INTRODUCTION: Granulomatosis with polyangiitis (GPA), is a rare systemic disease that if left untreated, it may lead to death within 6-12 months. This case report describes a 15-year-old female with a 14-month history of epiphora, nasal breathing difficulties, headaches, and jaw pain. The patient reported having various medical procedures attempted to address her symptoms. The classical presentation of strawberry gingivitis led to the diagnosis of GPA. Based on a multi-language search, this is the first reported case, that GPA is mistaken as Temporomandibular Joint Disorders (TMD). CASE PRESENTATION: A 15-year-old female with nearly 14 months of numerous complaints, including headaches and jaw pain, was referred for an orofacial pain (OFP) consultation. The patient had completed a dental examination and was prescribed chlorhexidine for gingivitis control. The OFP examination was not consistent with signs and symptoms of TMD. However, the gingival appearance of strawberry gingivitis was suggestive of GPA. A rheumatologist confirmed the diagnosis of GPA based on the clinical interview, serology testing, and dental findings. A course of rituximab and corticosteroids, and regular dental cleanings were recommended. A 4-month follow-up visit demonstrated complete resolution of her jaw pain and headaches. Gingival tissue appeared normal. CONCLUSION: This case emphasizes the need for familiarity with systemic diseases that can present oral manifestations. It also stresses the importance for dental professionals to be knowledgeable of differential diagnoses for TMD, headaches, and autoimmune disorders. Why is this case new information? This is believed to be the first published case mistaking GPA as TMD. This is a case in which a multidisciplinary approach and management were keys for a successful treatment outcome. What are the keys to successful management of this case? Obtain a thorough clinical history. Know the oral manifestation of systemic diseases. Know differential diagnosis of TMD and headaches. What are the primary limitations to success in this case? Having no access to the medical records during the OFP consultation. Having no awareness of differential diagnosis for gingivitis: strawberry, plaque-induced.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| 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".