Dynaclose Tape: A Practical Alternative to Punch Biopsy Site Closure
Bibliographic record
Abstract
BACKGROUND: A punch biopsy is a common therapeutic and diagnostic procedure that is routinely performed by dermatologists. A thin cylinder of tissue is removed with a biopsy punch, which creates a full-thickness wound. Sutures are used for primary closure as part of standard practice and are removed in follow-up 5 to 14 days later. The biopsy site heals with a small linear scar. In the past, punch biopsies were often left to heal by secondary intention, but given the extended healing time, this has fallen out of practice among dermatologists. OBJECTIVE: The purpose of this case report is to introduce a new quick and cost-effective approach to accelerate secondary intention healing following punch biopsies in busy dermatology clinics. RESULTS/CONCLUSION: We present a case where Dynaclose tape (Canica Design Inc, Almonte, ON) was used as an alternative to sutures for biopsy site closure. Dynaclose tape is a strip with adhesive ends and a clear center composed of silicone elastomer. The silicone elastomer promotes wound closure by pulling the opposing margins together. The tape maintains excellent adhesion and follows the natural shape of the skin to maximize patient comfort and mobility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".