Recommendations for adjunctive basic skin care in patients with psoriasis
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a multifactorial disease involving both genetic predisposition and external triggers, resulting in epidermal and immune dysfunctions. Regardless of the severity of the disease, patients require additional basic topical treatment with emollients. Basic skin care products are well known for their role in moisture retention and symptom control in psoriasis, yet patients underuse them. Dry skin and cutaneous inflammation are associated with an impaired epidermal barrier function. This breakdown of the skin barrier causes the release of pro-inflammatory mediators that exaggerate inflammation. OBJECTIVES: to provide recommendations for the use of emollients (including ceramides, urea, keratolytic agents, zinc salts, niacinamide), thermal water and skin care products in psoriasis. METHODS: A review of the current literature from 2000 to 2012 using Medline and Ovid was performed by a working group of five European Dermatologists with clinical and research experience in psoriasis. RESULTS: Either alone or used adjunctively, basic topical therapy can restore and protect skin barrier function, increase remission times between flare-ups and enhance the effects of pharmaceutical therapy. CONCLUSION: We provide physicians with a tool to assist them in implementing basic skin care in an integrated disease management approach.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".