Bibliographic record
Abstract
Context: Prolonged wound inflammation predisposes to hypertrophic scar formation. Scar growth may also be stimulated by various hormones which might be responsible for higher incidence of keloid formation during pregnancy and decrease in its size after the menopause. Aim: To find out a suitable anti-scar treatment to suit every patient even in pregnancy. Setting: Pregnant patients have a special situation where every drug can not be administered due to Teratogenic potential and co-existing physiological levels of discomfort such as abdominal distension so that established treatment protocols like intralesional steroid and pressure garments may not be found suitable. Methods and design: It is a prospective study. We hereby present a report of two cases, one with a woman in late pregnancy sustaining burn and another with a pre-existing scar getting hypertrophied during pregnancy. Out of several treatment modalities, we preferred to use an herbal cream which had been found to be safe and innocuous in earlier study carried out by one of the authors with good result. The cream was applied twice a day over the scar and massaged gently till it disappeared. The scars were evaluated on Vancouver Scar Scale. Result: Troublesome itching remarkably decreased by 2 weeks of continuous application. All the parameters showed appreciable improvement in the hypertrophic scars associated with pregnancy by three months. There was no side effect with the use of herbal cream.
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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".