Intralesional Hyaluronic Acid Injection for Chondrodermatitis Nodularis Helicis: A Novel Treatment for Rapid Relief of Pain and Healing of Ulcerations
Bibliographic record
Abstract
BACKGROUND: Chondrodermatitis nodularis helicis (CNH) is a common chronic condition characterized by a tender nodule on the helix or antihelix of the ear which may or may not have accompanying crusting, scaling, or ulceration and that is often difficult to treat. OBJECTIVE: Develop an easy, effective, and durable treatment to reduce the pain and clinical signs including ulcerations associated with CNH using injectable hyaluronic acid (HA). MATERIALS AND METHODS: Twenty-four patients were injected and followed up in 2 to 4 weeks intervals using 0.2 to 0.3 mL of various HA with a high G-Prime. RESULTS: Injectable HA significantly improved the symptoms and also the clinical appearance of all patients treated after 1 or 2 injections except 1 patient. Extrusion of the material through a preexisting ulcer usually required a second follow-up injection 2 weeks later. No adverse events were noted with the injections other than the intentional visible bulging of the injected region with HA. CONCLUSION: Injectable HA provides almost immediate relief from the discomfort of CNH in most cases in less than 1 or 2 weeks, significantly improves the clinical appearance over time and resolves accompanying ulcerations.
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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 | 0.000 |
| 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".