Fractional CO<sub>2</sub> laser treatment of caesarean section scars—A randomized controlled split‐scar trial with long term follow‐up assessment
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Caesarean section (c-section) scars can be pose functional and cosmetic challenges and ablative fractional laser (AFXL) treatment may offer benefit to patients. We evaluated textural and color changes over time in AFXL-treated versus untreated control scars. MATERIALS AND METHODS: A randomized, controlled, intra-individual split-scar trial with three sessions of AFXL-treatments for mature c-section scars. Settings of AFXL were adjusted to each individual scar. End-points were blinded on-site clinical evaluations at 1, 3, and 6 months follow-up (Patient and Observer Scar Assessment Scale [POSAS] and Vancouver Scar Scale [VSS]), blinded photo-evaluations, reflectance measurements, tissue histology, and patients satisfaction. RESULTS: Eleven of 12 patients completed the study. At 1 month follow-up, AFXL-treated scars were significantly improved in pliability (POSAS P = 0.01 VSS P = 0.02) and smoother in surface relief (POSAS P = 0.03) compared to control scars. At 1-3 months, overall scar appearance was dominated by transient erythema and hyperpigmentation, confirmed by reflectance measurements (erythema% and pigmentation% peaked at 1 and 3 month follow-up, respectively). At 6 months follow-up, AFXL-treated scars improved on POSAS-total score though not significantly (P = 0.06). Correspondingly, blinded photo-evaluation found AFXL-treated scars significantly improved compared to controls (VAS P = 0.02). Histology indicated new dermal collagen and elastic fibers on AFXL-treated scars. At 6 months follow-up, a majority of patients (64%) favored subsequent AFXL-treatment of their untreated control scar tissue. CONCLUSIONS: Scar remodeling is initiated 1 month after AFXL treatment, but overall scar improvement is concealed until laser-induced color changes resolve. At 6 months follow-up, the benefit of AFXL treatment on c-section scars emerges. Lasers Surg. Med. 49:189-197, 2017. © 2016 Wiley Periodicals, Inc.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".