Effect of Bioptron on scar formation after cesarean section
Bibliographic record
Abstract
Background: Cesarean section (CS) is a common surgical procedure that can be life-saving but leaves a permanent scar affecting postpartum recovery and quality of life.Purpose: To determine the impact of polarized light therapy (Bioptron) on scar formation post-CS. Subjects: Sixty primiparous women (aged 20–30 years, BMI ≤ 30 kg/m²) with post-CS abdominal scars aged 6 weeks–6 months were allocated from outpatient clinics at Benha University Hospital, Egypt. Methods: It was a prospective, randomized controlled trial. Participants were randomly and equally divided into two groups (n = 30). Group A received silicone-based cream twice daily for one month. Group B underwent Bioptron light therapy for 15 minutes, three sessions per week for one month, plus the same cream. BMI was measured by weight and height. Scar evaluation included the Modified Vancouver Scar Scale (mVSS), the Patient and Observer Scar Assessment Scale (POSAS) and scar extensibility measured with a modified adheremeter. Results: Within groups, both groups indicated a significant improvement in MVSS, POSAS, and scar extensibility after therapy compared to before therapy (p = 0.001). Between groups: before treatment demonstrated no significant change (p > 0.05). After treatment indicated a significant difference between groups, favoring group B (p = 0.001).Conclusion: Bioptron light therapy provides a significant therapeutic benefit in managing post-cesarean scars, and overall appearance, offering practical implications for improving scar management and suggesting potential directions for future research.Key words: Cesarean section, Scar, Bioptron light therapy, Silicone based products.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".