Topical Recombinant Collagen Following Fractional Radiofrequency Microneedling for Non-Surgical Facelift: A Case Report (Preprint)
Bibliographic record
Abstract
Background: Fractional radio frequency microneedling (FRM) is an effective nonsurgical facelift modality supported by growing clinical evidence. While generally well tolerated, postprocedural erythema, pain, swelling, and bruising typically last up to 7 days. Other serious complications include prolonged swelling, infection, persistent grid mark, burns, and hypo- or hyperpigmentation. Recombinant human collagen has demonstrated potent wound-healing and anti-inflammatory properties, which could be harnessed for post-FRM recovery. Objective: To date, there is a lack of published studies evaluating the use of topical agents to improve postprocedural recovery following FRM. This case report describes the early experience of using topical recombinant collagen post FRM for nonsurgical facelift. Methods: Two 40-year-old female patients with Fitzpatrick skin type IV underwent FRM for nonsurgical facelift. The procedure was performed with standard energy settings. Immediately post procedure, topical recombinant collagen was applied to the treated areas. Either clinical photography or cross-polarized imaging was used to objectively capture the changes in facial erythema and swelling. Results: Both cases demonstrated a marked reduction of erythema and inflammation within 1 to 2 hours after application of topical recombinant collagen. These observations appeared earlier compared to the typical timeframe of 1 to 3 days. No adverse events were reported. Conclusions: Topical recombinant collagen application post FRM was associated with an early reduction of skin erythema and inflammation.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Case report | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Case report | high |
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 | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".