Novel Antibacterial and Emollient Effects of Coconut and Virgin Olive Oils in Adult Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) skin is dry and readily colonized by Staphylococcus aureus (SA). Coconut and olive oils are traditionally used to moisturize and treat skin infections. OBJECTIVE: To compare virgin coconut oil (VCO) and virgin olive oil (VOO) in moisturizing dryness and removing SA from colonized AD skin. METHODS: This was a double-blind controlled trial in two outpatient dermatology clinics with adult AD patients who were diagnosed by history, pattern, evolution, and skin lesions and who were randomized to apply VCO or VOO twice daily at two noninfected sites. SA cultures, photography, and objective-SCORAD severity index (O-SSI) scoring were done at baseline and after 4 weeks. RESULTS: Twenty-six subjects each received VCO or VOO. Of those on VCO, 20 were positive for SA colonies at baseline versus 12 on VOO. Post intervention, only 1 (5%) VCO subject remained positive versus 6 (50%) of those on VOO. Relative risk for VCO was 0.10, significantly superior to that for VOO (10:1, p = .0028; 95% CI, 0.01-0.73); thus, the number needed to treat was 2.2. For the O-SSI, the difference was not significant at baseline (p = .15) but was significantly different post treatment (p = .004); this was reduced for both oils (p < .005) but was greater with VCO. CONCLUSION: VCO and monolaurin's O-SSI reduction and in vitro broad-spectrum activity against SA (given clinical validity here), fungi, and viruses may be useful in the proactive treatment of AD colonization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".