Primary Periocular Orofacial Granulomatosis: Case Series and Systematic Review
Bibliographic record
Abstract
PURPOSE: There is no known optimal treatment for primary periocular orofacial granulomatosis (PPOFG), a disorder that results in periocular edema. This case series and systematic review identifies management strategies and their reported improvement. METHODS: Systematic review and case series. PubMed and MEDLINE databases were searched following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines to identify published cases of PPOFG. Cases were included when edema involved the periocular tissues and when a biopsy was interpreted to be PPOFG. Cases were excluded when edema did not involve the periocular tissues or when the edema was secondary to another process. The electronic medical records of the pathology department were studied to identify cases that were in keeping with PPOFG. The clinical charts were examined to confirm the diagnosis and provide a local case series. RESULTS: There are 38 published cases of PPOFG. An additional 9 cases were identified locally. These cases were combined and analyzed. Most PPOFG has eyelid swelling in isolation, without other facial swelling (36/47; 76.6%). It is most commonly a bilateral disease (30/47; 63.8%). Fissured tongue and facial nerve palsy occur, just as they do in other cases of orofacial granulomatosis. Treatment with surgical debulking or intralesional steroids resulted in high rates of symptomatic improvement of eyelid swelling, but recurrences were common. CONCLUSIONS: In light of no curative or highly successful treatment currently available, intralesional steroids and/or surgical debulking are therapies in the treatment of eyelid swelling associated with PPOFG that demonstrate reasonable short- and medium-term results. There is no established therapy that can offer disease remission or long-term symptom improvement.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".