These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Cumulative assessment of factors leading to restorative decisions in an educational environment. A graphical demonstration using an in vitro case. Author: Maupomé G. Journal: Oper Dent; 2000; 25(4):336-43. PubMed ID: 11203840. Abstract: Even though accuracy and inter-examiner variation assessments of borderline restorative items have been previously reported, no attempt has been made to replicate the effect of cumulative, sequential diagnostic and treatment planning decisions. This study assesses the cumulative effect of factors indicating restorative needs by evaluating how readily tooth restoration was proposed on the basis of restoration quality and presence of caries (compared to gold standards). Ninety-one senior dental students in Mexico City (79% female; mean age 22.8 years) assembled in 19 teams of five students each. They sequentially evaluated 56 restored and unrestored posterior teeth in an in vitro model. Each student examined the set, removed those teeth needing restorative intervention and returned the remaining set for examination by a second student. When the second assessment was completed, the remaining teeth were turned over to the third teammate and so on. Teeth were subsequently assessed for restoration quality and enamel and dentinal caries. When a tooth showed a carious lesion, a dentinal lesion or a defective restoration, the likelihood of it being selected for restorative treatment increased. When more than one feature was present, the chances of the tooth being selected more frequently and earlier increased, accordingly. The specificity of restorative treatment needs was not excellent. A strong graphical association between the presence of caries and/or defects in restorations with proposed restorative treatment was demonstrated using a non-quantitative research model. The more abundant these features were, the higher the probability appeared for a tooth to fit the clinical picture suitable for restorative intervention.[Abstract] [Full Text] [Related] [New Search]