Granulomatosis With Polyangiitis Masquerading as Bilateral Trigeminal Neuralgia
Bibliographic record
Abstract
A 32-year-old woman presented with symptoms of bilateral trigeminal neuralgia (TN) that has been refractory to empiric therapy. Imaging showed normal caliber trigeminal nerves with no evidence of nerve compression. Autoimmune etiology was considered due to unnatural presentation of symptoms. Workup revealed elevated perinuclear antineutrophil cytoplasmic antibody (P-ANCA) and elevated myeloperoxidase (MPO) antibodies suggestive of localized ANCA-related vasculitis. A literature review revealed one case, which illustrates granulomatosis with polyangiitis (GPA) causing the classical symptoms of TN in absence of its more common symptoms. Patient was started on methotrexate 15 mg weekly and low-dose prednisone daily with significant improvement in symptoms. Ear-nose-throat (ENT) manifestations of rheumatologic disorders represent a diagnostic challenge. ENT symptoms can often represent the initial sign of an otherwise asymptomatic and undiagnosed autoimmune disease process, which often calls for prompt and aggressive immunosuppressive treatment which leads to not only better control of TN symptoms but also we speculate that early immunosuppressive therapy will control the progression of the underlying autoimmune disease. J Med Cases. 2016;7(9):384-385 doi: http://dx.doi.org/10.14740/jmc2636e
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".