Clinical Observation on the Effect of Skin Wound Tension Reduction Device on Inhibiting Post-surgery Scar
Bibliographic record
Abstract
Objective To explore the effect of the skin tension reduction device on reducing scar formation after excisional surgery of hypertrophic scars and keloids. Methods Total 10 patients with hypertrophic scars and keloids were enrolled in this study. All of them received excisional surgery. Total 10 patients were involved as a self control study with part of wound treated with tendon reduction device, the other part with no treatment as control. All patients were observed for scar formation at surgical wound sites for 3 months post-surgery. Scar width and Vancouver scar scale were used as the parameter to quantify the differences between two groups. Results Compared with control group, the postoperative scar in tension reduction group was narrower in scar width and lower in the Vancouver scar scale scores with statistical significance(P0.05). Conclusion Application of the skin reduction device can efficiently inhibit wound tension induced scar formation at post-surgery sites with significant reduction of scar width and hyperplasia after excisional surgery of hypertrophic scars/keloids.
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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".