METHODS: A case-control study was conducted among 317 caregivers of individuals with IDD (n = 168) and control (n = 149) groups, which involved the completion of the questionnaire. A closed-ended, validated self-designed questionnaire was distributed. The questionnaire included questions addressing participants' oral health knowledge and behavior. Convenience sampling was used to select the caregivers from centers associated with IDD by collecting data from nearby locations. Using SPSS® software Version 22 with a 0.05 level of significance data were analyzed. A Chi-square test and contingency-table analysis were performed on the data.
RESULTS: Caregivers for individuals with IDD in Jordan were less knowledgeable about different oral health aspects than control group (P value
METHODS: An electronic search of literature was conducted in PubMed, Scopus, Web of Science, and Google Scholar in addition to a manual search in specialized journals up to May 2024. The eligibility criteria, data extraction, and evaluation of risk of bias were assessed by two independent authors. The risk of bias was evaluated in accordance with Modified CONSORT checklist items for pre-clinical in vitro studies on dental materials.
RESULTS: Out of 343 studies, thirty-seven fulfilled the inclusion criteria and were included in this review. Thirty studies reported a good antibacterial efficacy of Biodentine against E. faecalis. Biodentine was superior to or, at least, as efficacious as MTA, MTA Angelus, GIC, RMGIC, DiaRoot BioAggregate, NeoPutty, iRoot FS, MTA Repair HP, MTA Biorep, Well-Root PT, Activa, NeoMTA 2, Calcimol LC, TotalFill, and IRM. The findings were supported by studies with medium to high risk of bias (low quality).
CONCLUSIONS: Considering the limitations of this systematic review, there is accumulating evidence on the antibacterial activity of Biodentine against E. faecalis in context of endodontics. However, randomized clinical trials with well-designed and robust methodologies are required in order to provide information about its clinical behaviour.
METHODS: A retrospective case control study was conducted. A total of 100 subjects were included. Data was gathered from the databases of Hospital Universiti Sains Malaysia and Hospital Raja Perempuan Zainab II, respectively. Cone beam computed tomography scans of both cleft and non-cleft individuals were utilized to determine the MPS maturation stages. Romexis software version 3.8.2 was used to analyze the images.
RESULTS: The results of the binary logistic regression model were utilized to establish the relationship between the probability (P) of a specific event of interest (P(Y = 1)) and a linear combination of independent variables (Xs) using the logit link function. Potential factors such as age, gender, cleft, category of malocclusion, and MPS were chosen which could play a role in predicting the technique of RME in children with UCLP and non-UCLP. A subset of these variables was validated via multilayer feed forward neural network (MLFFNN).
CONCLUSIONS: The effectiveness of the hybrid biometric model created in this work, which combines bootstrap and BLR with R-syntax was evaluated in terms of how accurately it predicted a binary response variable. A validation method based on an MLFFNN was used to evaluate the precision of the generated model. This leads to a good outcome.