Electrodessication Matricectomy With Modified Hyfrecator Tip: Case Series and Literature Review
Bibliographic record
Abstract
Nail matricectomy is indicated in the management of painful onychodystrophies, including recalcitrant onychocryptosis, onychogryphosis, onychauxis, and refractory onychomycosis. Although many matricectomy methods have been described, with phenolization being the best studied, no one method has clearly emerged as superior. We present a series of 14 patients who underwent a total of 18 matricectomies with either phenolization or electrodessication (ED) in a private dermatology office, and describe a simple and effective variation of the ED technique using a modified hyfrecator tip. A video demonstration of this technique is included. We also describe ED matricectomy in the context of a review of the literature, ascertaining recurrence rates, complication rates, healing time, and patient satisfaction. The nuances of technique specifics (such as the use of adjunct methods and antibiotics), as well as outcome predictors and measurements have been highlighted. We found ED to be comparable to other forms of matricectomy, with the advantages of ease of use, minimal complications, and good satisfaction rates.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 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 | 0.001 |
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".