Rituximab in the Management of a Child with Pemphigus Vulgaris: Case Study
Bibliographic record
Abstract
Background. Pemphigus vulgaris is an autoimmune bullous dermatosis. Its management generally involves lifelong administration of maintenance dose of systemic glucocorticosteroids, that leading to serious adverse effects especially in children. Clinical case description. Patient is the 16 years old boy with severe course of pemphigus vulgaris. The diagnosis was confirmed by the results of cell smear study from fresh erosions (> 50 acantholytic cells were revealed), histological examination of the skin biopsy from the lesion with the vesicle element (suprabasal vesicle was localized in the center, it included fibrin, neutrophil granulocytes, and acantholytic cells), skin biopsy from the area near the lesion (visually healthy skin), via direct immunofluorescence methods (IgG deposition was detected on keratinocytes’ surface throughout the epidermis), and enzyme-linked immunosorbent assay (desmoglein 1 IgG autoantibodies — 121 U/mL (reference value < 20 U/mL) and desmoglein 3 — > 200 U/mL (reference value < 20 U/mL)). Genetically engineered biologic drug, rituximab, and systemic glucocorticosteroid, methylprednisolone, were prescribed as first-line therapy with gradual dose reduction to permanent discontinuation in 8 months. Complete remission maintained after the completion of therapy course and discontinuation of systemic glucocorticosteroid. Conclusion. Combined therapy with systemic glucocorticosteroids and rituximab can be considered as first-line therapy in pediatric patients with pemphigus vulgaris due to relatively low risk of recurrence after rather rapid and complete drugs’ discontinuation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".