Subcutaneous granuloma annulare of the extremities in children.
Bibliographic record
Abstract
OBJECTIVE: To familiarize surgeons to the natural history and treatment of granuloma annulare of the extremities in children. DESIGN: Case review and follow-up by appointment and questionnaire. SETTING: The Children's Hospital of Eastern Ontario, a tertiary referral centre. PATIENTS: Twenty-seven children (23 girls, 4 boys) seen between 1983 and 1998 with subcutaneous granuloma annulare, proven pathologically. The mean age at initial presentation was 8.3 years (range from 1.8 years to 16.7 years). The mean follow-up was 45 weeks (range from 1 week to 5 years). INTERVENTION: Biopsy excision of the lesions. OUTCOME MEASURES: The incidence multiple lesions, the commonest site of occurrence and the incidence of recurrence. RESULTS: Six children presented with multiple lesions for a total of 46 lesions. The anterior pretibial area was the most frequently affected site (16 lesions), followed by the ankle (6 lesions) and the long finger (4 lesions). Five patients suffered recurrence of the lesion, with a total of 7 lesions recurring. CONCLUSIONS: Subcutaneous granuloma annulare is a benign inflammatory skin lesion occurring most frequently in the anterior pretibial area in children, predominantly girls. The incidence of recurrence and of multiple lesions is high. Biopsy is required for definitive diagnosis. The lesion resolves spontaneously without treatment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".