Within-Patient, Quasi-Experimental Clinical Trial to Assess the Immediate Effects of Paraffin Wax on Adult, Post-Burn Hypertrophic Scar
Bibliographic record
Abstract
Paraffin wax is applied to scar tissue for its proposed benefits of increasing skin pliability and relieving pain. However, limited studies have objectively assessed hypertrophic scar (HSc) response. This study examined immediate HSc changes after paraffin treatment compared with intra-individual controls. A quasi-experimental, within-subject, evaluator-blinded, pre-post design was used. Two homogeneous HSc were identified per participant: one treated with paraffin wax and one with mineral oil for 20 minutes. Normal skin also received paraffin to assess scar-specific effects. Objective measures included elasticity (Cutometer), erythema and melanin (Mexameter), transepidermal water loss (TEWL) (Tewameter), thickness (High-frequency Ultrasound), and self-reported pain, itch, stiffness, and overall scar impression. Thirty-nine burn survivors were recruited; 35 completed the study. Paired t-tests showed increased elasticity and erythema in paraffin-treated HSc and normal skin, decreased pigmentation in paraffin-treated normal skin, and decreased TEWL in the mineral oil-treated control scars. ANCOVA of post-treatment values, controlling for baseline, revealed significant increases in erythema and TEWL in paraffin-treated versus control scars. Participants perceived greater improvement in paraffin-treated HSc than controls, though controls improved across all items. Although paraffin significantly increased elasticity in both HSc and normal skin, it did not significantly differ from mineral oil-treated scars, suggesting that some of the effect may be attributable to mineral oil, as there was a slight increase in skin elasticity within the mineral oil group. However, paraffin improved self-reported outcomes, highlighting its potential clinical value in relieving pain and itch rather than increasing scar elasticity. As mineral oil also improved self-reported items, its benefits need further investigation. Future studies should recruit participants with baseline pain and itch to ensure adequate power.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".