scholarly journals Children’s self-reported discomfort of restorative treatments for deep caries lesions in primary teeth: Results from a randomized clinical trial

2021 ◽  
Vol 10 (16) ◽  
pp. e519101623837
Author(s):  
Gabriela Seabra da Silva ◽  
Daniela Prócida Raggio ◽  
Anna Carolina Volpi Mello-Moura ◽  
Thais Gimenez ◽  
Juan Sebastian Lara ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Randomized Clinical Trial ◽  
Glass Ionomer Cement ◽  
High Viscosity ◽  
Primary Molars ◽  
Eligibility Criteria ◽  
Face Scale ◽  
External Examiner ◽  
The Impact ◽  
Caries Lesions

The aim of this study was to evaluate the impact of different restorative techniques to treat deep caries lesions of primary molars on children’s self-reported discomfort. A randomized clinical trial with two parallel arms (1:1) was conducted in São Paulo, Brazil. 4-8 years-old children with at least one occlusal or occlusoproximal deep caries lesion in primary molars were selected. Molars were randomly allocated into two groups: (1) restoration performed with calcium hydroxide cement followed by high-viscosity Glass Ionomer Cement (CHC+HVGIC), and (2) HVGIC restoration. Immediately after the intervention, children reported the experienced discomfort during restoration to an external examiner using a Wong-Baker face-scale. Children’s self-reported discomfort was analyzed using Poisson regression comparing both groups and assessing other variables’ influence (α=5%). One hundred and eight children fulfilled the eligibility criteria and were randomized in the two groups (n=54). Most of the children who received CHC+HVGIC restorations reported none or minimal discomfort (83.3%). Similar scores (92.6%) were reported for those treated with HVGIC (p=0.758). The mean reported discomfort in children with CHC+HVGIC restorations was 0.37(1.01), and 0.41(1.01) for those with HVGIC restorations. Children’s self-reported discomfort was associated with age, sex, children’s cooperation, and intervention duration. We can conclude that CHC+HVGIC or HVGIC restorations result in none or minimal discomfort in the management of deep caries lesions, being considered a reliable option.

scholarly journals Survival rate of primary molar restorations is not influenced by hand mixed or encapsulated GIC: 24 months RCT

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rodolfo de Carvalho Oliveira ◽  
Lucila Basto Camargo ◽  
Tatiane Fernandes Novaes ◽  
Laura Regina Antunes Pontes ◽  
Isabel Cristina Olegário ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Survival Rate ◽  
Randomized Clinical Trial ◽  
Cox Regression ◽  
Primary Molars ◽  
Glass Ionomer Cements ◽  
Glass Ionomer ◽  
Primary Molar ◽  
Restoration Failure ◽  
The Impact

Abstract Background Glass ionomer cements (GIC) have been considered the top option to restore primary teeth by dentists. The most common supply forms are hand mixed and encapsulated GIC. There is a lack of information about the impact of different GIC supply forms on restoration survival. Methods This randomized clinical trial compared the survival rate of occlusal and occlusoproximal restorations in primary molars using two glass ionomer cements versions: hand-mixed (H/M) and encapsulated (ENC) after 24 months. Children aged 3–10 years who presented dentin caries lesions in primary molars were selected at School of Dentistry, University of São Paulo, Brazil. They were randomly assigned to groups: H /M (Fuji IX®, GC Europe) or ENC (Equia Fill®, GC Europe). The occurrence of restoration failure was evaluated by two blinded and calibrated examiners. The analyses were performed in Stata 13 (StataCorp, USA). To evaluate the primary outcome (restoration survival), we  performed a survival analysis. Additionally an intention to treat (ITT) analysis were done at 24 months of follow-up. Cox Regression with shared frailty was performed to assess association between restoration failure and independent variables (α = 5%). Results A total of 324 restorations were performed in 145 children. The survival for H/M group was 58.2% and 60.1% for ENC, with no difference (p = 0.738). Occlusoproximal restorations had lower survival rate when compared to occlusal ones (HR = 3.83; p < 0.001). Conclusions The survival rate in primary molars is not influenced by the different supply forms of GIC. Also, occlusoproximal restorations present reduced performances when compared to occlusal cavities. Trial Registration This randomized clinical trial was registered on ClinicalTrials.Gov on 10/15/2014 under protocol (NCT 02274142).

scholarly journals Can bulk-fill resin restorations be an alternative to resin-modified glass ionomer cement restorations in primary molars of toddlers? A randomized clinical trial protocol.

2021 ◽  
Vol 10 (3) ◽  
pp. 1-10
Author(s):  
Isabela Coelho Novaes ◽  
◽  
Luna Chagas Clementino ◽  
Fernanda Morais Ferreira ◽  
Tathiane Lenzi ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Dental Caries ◽  
Randomized Clinical Trial ◽  
Glass Ionomer Cement ◽  
Primary Molars ◽  
Trial Protocol ◽  
Glass Ionomer ◽  
Resin Modified Glass Ionomer ◽  
Ionomer Cement ◽  
Untreated Dental Caries

Background: The aim of this study was to elaborate a randomized clinical trial protocol to evaluate the effectiveness of class I restorations in resin-modified glass ionomer cement (RMGIC) and bulk-fill resin in primary molars with untreated early childhood caries in toddlers. Material and Methods: A total of 59 toddlers up to 36 months old with at least two primary molar teeth with untreated dental caries of single surface on different sides of the mouth will be selected at the Pediatric Dentistry Clinics of the Faculty of Dentistry at Federal University of Minas Gerais (UFMG), Brazil. Teeth with untreated dental caries in the left and right sides of each patient’s mouth will be randomly distributed into 2 groups: Group 1 (Control): encapsulated RMGIC restoration with Riva light cure (SDI, Florida, USA) and Group 2 (Test): Filtek bulk-fill composite resin restoration (3M/ESPE, St. Paul, USA) with universal single bond adhesive system (3M/ESPE, St. Paul, USA). A single trained dentist will perform all restorative procedures. The restorations will be evaluated after 1, 6, 12, 18 and 24 months by two trained and calibrated examiners. Cost-efficacy analysis will be carried out. Kaplan-Meier survival analysis, Log-rank test, Cox regression, Poisson regression analysis, Mann-Whitney test or Kruskal-Wallis will be performed to analyze data. Conclusion: The protocol will make it possible to determine the most efficacy material for the restoration of cavities in cavities in primary molars of toddlers.

scholarly journals Survival rate of primary molar restorations is not influenced by hand mixed or encapsulated GIC: 24 months RCT

2021 ◽  
Author(s):  
Rodolfo de Carvalho Oliveira ◽  
Lucila Basto Camargo ◽  
Tatiane Fernandes Novaes ◽  
Laura Regina Antunes Pontes ◽  
Isabel Cristina Olegário ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Survival Rate ◽  
Randomized Clinical Trial ◽  
Cox Regression ◽  
Primary Molars ◽  
Glass Ionomer Cements ◽  
Glass Ionomer ◽  
Primary Molar ◽  
Restoration Failure ◽  
The Impact

Abstract Background: Glass ionomer cements (GIC) have been considered the top option to restore primary teeth by dentists. The most common supply forms are hand-mixed and encapsulated GIC. There is a lack of information about the impact of different GIC supply forms on restoration survival. This randomized clinical trial compared the survival rate of occlusal and occlusoproximal restorations in primary molars using two of glass ionomer cements versions: hand-mixed (H/M) and encapsulated (ENC) after 24 months. Children aged 3-10 years who presented dentin caries lesions in primary molars were selected at School of Dentistry, University of São Paulo, Brazil. They were randomly assigned to groups: H /M (Fuji IX®, GC Europe) or ENC (Equia Fill®, GC Europe). The occurrence of restoration failure was evaluated by two blinded and calibrated examiners. The analyses were performed in Stata 13 (StataCorp, USA). To evaluate the primary outcome (restoration survival), we performed an intention to treat (ITT) analysis at 24 months of follow-up. Kaplan-Meier survival analysis was used to verify the survival of the restorations while Cox Regression with shared frailty was performed to assess association between restoration failure and independent variables (α=5%). Results: A total of 324 restorations were performed in 145 children. The survival for H/M group was 58.2% and 60.1% for ENC, with no difference (p=0.738). Occlusoproximal restorations had lower survival rate when compared to occlusal ones (HR=3.83; p<0.001). Conclusions: The survival rate in primary molar is not influenced by the different supply forms of GIC This randomized clinical trial was registered on ClinicalTrials.Gov on 10/15/2014 under protocol (NCT 02274142).

scholarly journals Glass Ionomer Sealants Can Prevent Dental Caries but Cannot Prevent Posteruptive Breakdown on Molars Affected by Molar Incisor Hypomineralization: One-Year Results of a Randomized Clinical Trial

2021 ◽  
pp. 1-9
Author(s):  
Milou S. Schraverus ◽  
Isabel C. Olegário ◽  
Clarissa C. Bonifácio ◽  
Ana Paola R. González ◽  
Murisi Pedroza ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Dental Caries ◽  
Randomized Clinical Trial ◽  
Glass Ionomer Cement ◽  
Glass Ionomer ◽  
Molar Incisor Hypomineralization ◽  
One Year ◽  
Caries Lesions ◽  
Ionomer Cement ◽  
Sealant Group

To evaluate the preventive effect of glass ionomer cement (GIC) against dental caries and posteruptive breakdown (PEB) on molars affected by molar incisor hypomineralization (MIH). In this randomized clinical trial, 77 children aged 5–9 years with at least 1 MIH-affected molar and without PEB or dentin caries lesions (<i>n</i> = 228) were included and randomly allocated to one of the following groups: (1) MIH-affected molars that remained unsealed and (2) MIH-affected molars that received GIC sealants. Dental caries and PEB were clinically evaluated after 6 and 12 months. Associations between dental caries and PEB with independent variables were evaluated using logistic regression analysis (<i>p</i> &#x3c; 0.05). The MIH-affected molars allocated to the GIC sealant group were less likely to develop dental caries compared to those allocated to the unsealed group (OR = 0.23; 95% CI 0.06–0.95). Conversely, application of a GIC sealant was not associated with prevention of PEB (<i>p</i> = 0.313). Furthermore, MIH-affected molars presenting yellow-brown opacities were almost 5 times more likely to develop dental caries (<i>p</i> = 0.013) and PEB (<i>p</i> = 0.001) compared to those presenting white-creamy opacities. We can conclude that GIC sealants can prevent dental caries on MIH-affected molars; however, the same protective effect was not observed for PEB.

scholarly journals Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Kun Zeng ◽  
Yibin Xu ◽  
Ge Lin ◽  
Likeng Liang ◽  
Tianyong Hao
Keyword(s):  
Clinical Trial ◽  
Ensemble Learning ◽  
Metric Learning ◽  
Classification Performance ◽  
Ensemble Model ◽  
Automated Classification ◽  
Eligibility Criteria ◽  
Data Imbalance ◽  
The Impact

Abstract Background Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research. However, existing methods suffer from poor classification performance due to the complexity and imbalance of eligibility criteria text data. Methods An ensemble learning-based model with metric learning is proposed for eligibility criteria classification. The model integrates a set of pre-trained models including Bidirectional Encoder Representations from Transformers (BERT), A Robustly Optimized BERT Pretraining Approach (RoBERTa), XLNet, Pre-training Text Encoders as Discriminators Rather Than Generators (ELECTRA), and Enhanced Representation through Knowledge Integration (ERNIE). Focal Loss is used as a loss function to address the data imbalance problem. Metric learning is employed to train the embedding of each base model for feature distinguish. Soft Voting is applied to achieve final classification of the ensemble model. The dataset is from the standard evaluation task 3 of 5th China Health Information Processing Conference containing 38,341 eligibility criteria text in 44 categories. Results Our ensemble method had an accuracy of 0.8497, a precision of 0.8229, and a recall of 0.8216 on the dataset. The macro F1-score was 0.8169, outperforming state-of-the-art baseline methods by 0.84% improvement on average. In addition, the performance improvement had a p-value of 2.152e-07 with a standard t-test, indicating that our model achieved a significant improvement. Conclusions A model for classifying eligibility criteria text of clinical trials based on multi-model ensemble learning and metric learning was proposed. The experiments demonstrated that the classification performance was improved by our ensemble model significantly. In addition, metric learning was able to improve word embedding representation and the focal loss reduced the impact of data imbalance to model performance.

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