[Treatment of facial pigmentation after burns with traditional Chinese medicine mask and skin care].
Notice bibliographique
Résumé
OBJECTIVE: To observe the effects of traditional Chinese medicine mask combined with skin care in the treatment of facial pigmentation after burns. METHODS: Forty-one patients with facial pigmentation after burns hospitalized from January 2009 to June 2010 were enrolled and divided into treatment group (n = 26, odd number) and control group (n = 15, even number) according to the visiting order. After cleaning, massaging, and steam spraying to faces, patients in treatment and control groups were respectively treated with traditional Chinese medicine mask developed by physicians in our hospital and common commercial beauty mask. Masks were removed when they became completely dry. The treatment was repeated every other day. Ten times made up a course of treatment. Three consecutive courses were carried out on each patient. Before treatment and at the end of each course, the skin color differences were measured with Vancouver Pigmented Scar Scale; image gray scale value of pigmented skin was measured with image analysis technique. Satisfaction degree acknowledged by both patients and physicians were recorded at the end of each course; adverse effects were recorded; and the overall efficacy between two groups was compared. Data were processed with chi-square test or t test. RESULTS: Skin color differences, image gray scale value of patients in treatment group were close to those in control group before treatment (with t value respectively 0.800 and 0.694, P values all above 0.05). Skin color differences, image gray scale value, and satisfaction degree acknowledged by both patients and physicians in treatment group were better than those in control group at the end of each course. At the end of the third course of treatment, the skin color differences in treatment and control groups scored 0.5 ± 0.4 and 1.1 ± 0.6, respectively, with image gray scale value of 55 ± 5 and 66 ± 6, respectively, which were statistically different from each other (with t value respectively 3.389 and 5.102, P values all below 0.01). The overall efficacy of the treatment group was 92.3%, which was much better than that of the control group (53.3%, χ(2) = 6.31, P < 0.05). No allergy caused by the traditional Chinese medicine mask was observed during the treatment. CONCLUSIONS: The traditional Chinese medicine mask combined with skin care is effective for the treatment of facial pigmentation after burns.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».