Evaluation of proximal contacts of posterior composite restorations with 4 placement techniques.
Notice bibliographique
Résumé
BACKGROUND: Contrary to the situation for amalgam restorations, obtaining acceptable proximal contacts with posterior composite restorations can be difficult. Proximal contacts that are less than ideal may permit food impaction and subsequent caries formation and periodontal problems. PURPOSE: The aim of this study was to assess the quality of proximal contacts of posterior composite restorations placed with 4 restorative techniques. METHODS: Seventy-five mounted ivorine teeth with large, standardized MOD cavities were divided into 5 groups of 15 teeth each. The teeth in 4 of these groups were restored with a resin composite and those in the remaining group were restored with amalgam. The restorative techniques for the 4 composite groups were traditional wedge and matrix (Group 1), use of a light-tip attachment (Group 2), use of the Contact Pro hand instrument (Group 3) and use of Beta Quartz glass-ceramic inserts (Group 4). All restorations were completed under simulated clinical conditions. Standards for evaluating proximal contacts were set by preparing 4 dental study models, each model having one type of proximal contact (open, not tight enough, ideal and too tight). All restored teeth were carefully painted with opaque nail polish, except at the contact areas, to conceal restoration type and hence to ensure unbiased evaluation by assessors. Three experienced clinicians independently assessed the quality of the proximal contacts of all restored teeth (total of 150 contacts) relative to the 4 types of contacts exemplified by the dental study models. In cases of disagreement, the clinicians reassessed the disputed contact collectively. RESULTS: Amalgam restorations had 5 contacts that were not tight enough, 20 that were ideal and 5 that were too tight. The Group 1 composite restorations had a total of 25 open contacts and 5 contacts that were not tight enough; the Group 2 composite restorations had 3 open contacts, 13 contacts that were not tight enough and 14 that were ideal; the Group 3 composite restorations had 11 contacts that were not tight enough and 19 that were ideal; and the Group 4 composite restorations had 3 contacts that were not tight enough and 27 that were ideal. None of the composite contacts was judged too tight. CONCLUSIONS: The use of inserts (Group 4) resulted in a better rate of acceptable proximal contacts in posterior composite restorations than the 3 other techniques (90% vs. 0%, 47% and 63% for Group 1, Group 2 and Group 3, respectively).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».