Internet‐based survey on current practice for evaluation, prevention, and treatment of scars, hypertrophic scars, and keloids
Bibliographic record
Abstract
No universally accepted standard for evaluation, prevention, and treatment of scars, hypertrophic scars, and keloids exists. Following development of a questionnaire, we performed a closed Web-based survey among burn centers. Server-based data collection was performed over 4 weeks and closed thereafter. The poll revealed emerging new treatment schemes, but the majority of participants adhered to evaluation (Patient and Observer Scar Assessment Scale, Matching Assessment of Scars and Photographs, Vancouver Scar Scale, two-dimensional photography) and prevention (silicone gel sheets and compression garments) strategies that were in line with the currently available recommendations from the literature. We noted a low penetration for the use of objective evaluation tools in our poll and detected differences in surgical approaches to keloids. Based on the results of our survey and the power of currently available clinical recommendations, we expect future guidelines to gain more evidence-based power, especially when more high-quality clinical trials with objective evaluation support, clearly defined disease entities, and therapeutic outcome factors have become available.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".