Improvement of skin lesions in corticosteroid withdrawal-associated severe eczema by multicomponent traditional Chinese medicine therapy
Bibliographic record
Abstract
RATIONALE: We recently showed that multicomponent traditional Chinese medicine (TCM) therapy had steroid-sparing effects in moderate-to-severe eczema. We sought to evaluate TCM effects in severe eczema in a 7-year-old male with refractory disease and corticosteroid withdrawal syndrome. METHODS: Prior to referral, the patient had been treated since infancy with increasingly intensive standard of care, including high-dose topical and systemic corticosteroid and antibiotic therapy and was unable to tolerate further steroid treatment. The patient was administered a combination of oral and topical TCM for 17 months following discontinuation of his steroid regimen. His overall medical condition was assessed by SCORAD criteria and laboratory evaluations of serum IgE, absolute eosinophil count, and liver and kidney function tests. RESULTS: The patient showed rapid improvement of clinical measures of disease after starting TCM therapy, with marked improvement of sleep quality within the first week, complete resolution of itching, oozing, and erythema at 2 weeks, and a 79% and 99% decrease in his SCORAD values after one month and 3-6 months of TCM, respectively. Serum total IgE decreased by 75% (from 19,000 to 4630 (kIU/L), and absolute eosinophil counts decreased by 60% (from 1000 to 427 cells/μL) after 12 months of treatment. The patient did not require oral or topical steroids during the 17-month trial of TCM. TCM was tapered without complications. His dermatologic manifestations continued to be well-controlled 3 months after discontinuation. CONCLUSION: This case study suggests TCM should be further evaluated in controlled clinical studies of patients with severe, refractory eczema and steroid withdrawal syndrome.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".