Settings and Design: Randomized Controlled Trial.
Materials and Methods: Fifty-two edentulous participants treated with mandibular overdentures using either single implant (n = 26) or two implants (n = 26) with immediate loading protocol by a single operator. The low-profile stud-attachments (LOCATOR; Zest Anchors) were attached to the implants and female attachments were picked up within 0-7 days of implant placement. The OHRQoL was recorded using Oral Health Impact Profile-14 (OHIP-14) questionnaire either in English or in the Malay language before treatment and 1 month and 1 year after treatment.
Statistical Analysis Used: Kruskal Wallis test was used to find out significant difference amongst 3 timepoints and 7 OHIP-14 domains and Mann-Whitney-U test to compare 1IMO or 2IMO groups.
Results: Compared to baseline OHIP-14 scores, participants had a statistically significant decrease in total OHIP-14 at 1 month and 1 year after-treatment time points in both 1IMO and 2IMO groups (P < 0.05). The difference between 1 month and 1 year after-treatment total and subscale scores were also found to be statistically significant (P < 0.05). The overall QoL improvement was comparatively higher in 2IMO group than 1IMO group. The OHIP-14 scores were statistically different within seven domains (P < 0.05). Overall total scores between 1IMO and 2IMO groups were also found to be statistically significant (P < 0.05) at baseline and insignificant (P > 0.05) at 1 month and 1 year.
Conclusions: Mandibular single and 2IMO improve the QoL of elderly edentulous Malaysian participants at 1 month of immediate loading and 1 year of recall. 1IMO may provide comparable QoL with the elderly patients using 2 implants.
Setting and Design: In vitro - Comparative study.
Materials and Methods: Denture base adaptation of two different rapid heat-cured polymethyl methacrylate acrylic resins using five different cooling methods were compared. Forty maxillary edentulous stone cast were prepared to produce the denture bases with standardized thickness. The specimens were divided into five groups (n = 8) according to type of materials and cooling methods. The master stone cast and all forty denture bases were scanned with 3Shape E1 laboratory scanner. The scanned images of each of the denture bases were superimposed over the scanned image of the master cast using Materialize 3-matic software. Three dimensional differences between the two surfaces were calculated and color surface maps were generated for visual qualitative assessment.
Statistical Analysis Used: Generalized Linear Model Test, Bonferroni Post Hoc Analysis.
Results: All bench-cooled specimens showed wide green-colored area in the overall palatal surface, while the rapid cooled specimens presented with increased red color areas especially at the palate and post dam area. Generalized Linear Model test followed by Bonferroni post hoc analysis showed significant difference in the root mean square values among the specimen groups.
Conclusion: Samples that were bench cooled, demonstrated better overall accuracy compared to the rapid cooling groups. Regardless of need for shorter denture processing time, bench cooling of rapid heat-cured PMMA is essential for acceptable denture base adaptation.
Settings and Design: Cohort study.
Materials and Methods: Patient-related variables were obtained using questionnaires in both pre- and post-intervention phases. In addition to this, in preintervention phase, lacunae in doctor-patient communication were obtained. Based on this, the postgraduates were trained in relevant communication skills required during complete denture treatment. In postintervention phase, the postgraduates were again followed up for continuation or decay of skills.
Statistical Analysis: Mixed-mode approach - quantitative and qualitative analysis.
Results: Both groups were similar in psychological parameters, personality domains, denture quality and quality of life at baseline. However, there was significant difference in denture satisfaction (P < 0.001) in both the groups. In the experimental group, denture satisfaction was more (80.4%) and quality of life had improved from baseline to 3 months (P = 0.000). Denture satisfaction was associated with self-efficacy (P = 0.002) and the communication skills of the dentist (P = 0.000). Quality of life was associated with the conscientiousness domain of personality (P = 0.049) and the communication skills of the dentist (P < 0.05).
Conclusion: Satisfaction and quality of life with dentures were associated with self-efficacy, conscientiousness domain and the communication skills of the dentist. Denture satisfaction can be predicted by dentist communication skills. Therefore, training in communication skills for complete denture patient management and assessment of the psychological profile of the patient could contribute to the effective patient-centered practice to avoid patient dissatisfaction.
SETTINGS AND DESIGN: A cross-sectional multi-national, multi-centric correlation trial.
MATERIALS AND METHODS: A cross-sectional study was conducted in India and Malaysia with a total of 688 participants. Measurements of thumb and VDR were obtained using a modified Willi's gauge using a standard operating procedure.
STATISTICAL ANALYSIS USED: Pearson's correlation coefficient was calculated to determine the correlation between TL and VDR. A multiple linear regression was done to correlate VDR from gender, orthodontic treatment, and length of thumb.
RESULTS: Correlation coefficient between TL and VDR in patients with orthodontic treatment was 0.829 and 0.774 in patients without orthodontic treatment. The correlation between TL and VDR in patients with orthodontic treatment in North India was 0.484, P = 0.010 and Malaysia was 0.946, P < 0.001. There were significant correlations between TL and VDR in patients without orthodontic treatment in all regions (P < 0.001). Regression equations were obtained for different ethnic groups for calculating the VDR.
CONCLUSION: There was an overall positive correlation between TL and VDR in patients with and without orthodontic treatment. The regression equations presented in this article could help clinicians in their clinical practice and researchers to conduct future trials.