| Literature DB >> 34491449 |
Andreas Zenthöfer1, Justo Lorenzo Bermejo2, Wolfgang Bömicke3, Cornelia Frese4, Rumeysa Gülmez3, Peter Rammelsberg3, Brigitte Ohlmann3.
Abstract
OBJECTIVES: To compare the failure rates for three different adhesively retained core build-up composites up to the incorporation of a permanent fixed dental prosthesis (FDP), and to identify potential failure risk factors.Entities:
Keywords: Adhesive; Clinical; Core build-up; Dental prostheses; Failure; RCT
Mesh:
Substances:
Year: 2021 PMID: 34491449 PMCID: PMC8816765 DOI: 10.1007/s00784-021-04170-6
Source DB: PubMed Journal: Clin Oral Investig ISSN: 1432-6981 Impact factor: 3.573
Fig. 1Overview of study progression. RDC, Rebilda DC; CDC, Clearfil DC Core; MF, Multicore Flow; FDP, fixed dental prosthesis; CRF, case record form; CRF m., missing CRF. For better visualization of the strata, “tooth location” is not depicted. It includes three sub-arms (incisor, premolar, and molar) and is located between the operators’ stratum and the three different core build-up materials
Fig. 2Exemplary clinical situation. a Tooth 15 after removal of the insufficient restorations and caries excavation. b Tooth 15 fitted with a core build-up, occlusal view. c Same situation lateral view
Fig. 3Exemplary clinical situation from the study. a Scan of the excavated teeth 37 and 35. b Scan after fitting with core build-ups (tooth 37 was considered for the study according to FDI scheme)
Participant characteristics and target variables, separated for the main stratum (treatment by a dentist or student) (n = 300)
| Variable | Dentist ( | Student ( | Complete cohort | |
|---|---|---|---|---|
| Patient age, mean (SD) | 59.9 (11.9) | 57.8 (10.6) | 58.9 (11.3) | 0.11 |
| Patient gender, number (%) | ||||
| Female | 71 (47.3) | 75 (50.0) | 146 (48.7) | 0.64 |
| Male | 79 (52.7) | 75 (50.0) | 154 (51.3) | |
| Tooth region, number (%) | ||||
| Incisor | 22 (14.7) | 15 (10.0) | 37 (12.3) | |
| Premolar | 58 (38.7) | 66 (44.0) | 124 (41.3) | 0.40 |
| Molar | 70 (46.7) | 69 (46.0) | 139 (46.3) | |
| Material, number (%) | ||||
| Rebilda | 53 (35.3) | 54 (36.0) | 107 (35.7) | |
| Clearfil | 50 (33.3) | 47 (31.3) | 97 (32.3) | 0.93 |
| Multicore | 47 (31.3) | 49 (32.7) | 96 (32.0) | |
| Surfaces, mean (SD) | 2.8 (1.1) | 2.9 (1.2) | 2.8 (1.3) | 0.21 |
| Impressions, mean (SD) | 1.5 (0.8) | 2.4 (1.6) | 2.0 (1.3) | |
| Change of temporary FDP, mean (SD), | 2.2 (1.2) | 3.4 (2.1) | 2.8 (1.1) | |
| Handling of material, mean (SD), | 8.2 (1.9) | 7.4 (2.1) | 7.8 (2.0) | |
| Moisture control (%) | ||||
| Rubber dam | 6 (4.1) | 32 (21.9) | 38 (12.9) | |
| Relative | 141 (95.9) | 115 (78.2) | 256 (87.1) | |
| Grindability of material, mean (SD), | 8.6 (1.7) | 8.4 (1.5) | 8.5 (1.6) | 0.486 |
p values from chi-squared (discrete variables) or t-tests (continuous variables). p values < 0.05 are in bold
Univariate analysis of risk factors for early failures (n = 300)
| Variable | Sub-variable | Failures | % | OR | 95% | CI | ||
|---|---|---|---|---|---|---|---|---|
| Gender | Female | 146 | 12 | 8.2 | 0.73 | Ref | ||
| Male | 154 | 11 | 7.1 | 0.86 | 0.37 | 2.01 | ||
| Age | 23–59 | 154 | 11 | 7.1 | 0.73 | 0.86 | 0.37 | 2.01 |
| 60–86 | 146 | 12 | 8.2 | Ref | ||||
| Material | Rebilda | 107 | 7 | 6.5 | 0.48 | Ref | ||
| Clearfil | 97 | 6 | 6.2 | 0.94 | 0.31 | 2.91 | ||
| Multicore | 96 | 10 | 10.4 | 1.66 | 0.61 | 4.55 | ||
| Tooth region | Incisor | 37 | 1 | 2.7 | 0.14 | Ref | ||
| Premolar | 124 | 14 | 11.3 | 4.58 | 0.58 | 36.1 | ||
| Molar | 139 | 8 | 5.8 | 2.20 | 0.27 | 18.2 | ||
| No. surfaces | 1–3 | 217 | 8 | 3.7 | Ref | |||
| > 3 | 83 | 15 | 18.1 | 5.76 | 2.34 | 14.2 | ||
| Operator | Dentist | 150 | 5 | 3.3 | Ref | |||
| Student | 150 | 18 | 12.0 | 3.96 | 1.43 | 11.0 | ||
| Change of temporary restoration | 0–2 | 158 | 16 | 10.1 | 0.10 | 2.17 | 0.87 | 5.44 |
| > 2 | 142 | 7 | 4.9 | Ref | ||||
| Moisture control | Rubber dam | 38 | 0 | 0.0 | 0.054 | – | – | – |
| Relative | 256 | 23 | 7.8 | Ref |
p values are based on univariate logistic regression analysis. Significant p values are in bold. Ref., reference category; OR, odds ratio (relative risk estimate); 95% CI, 95% confidence interval
Multivariate regression analysis of risk factors for early failure (n = 300)
| Variable | Sub-variable | Failures | % | OR | 95% | CI | ||
|---|---|---|---|---|---|---|---|---|
| Surfaces | 1–3 | 217 | 8 | 3.7 | Ref | |||
| > 3 | 83 | 15 | 18.1 | 5.54 | 2.22 | 13.8 | ||
| Operator | Dentist | 150 | 5 | 3.3 | Ref | |||
| Student | 150 | 18 | 12.0 | 3.75 | 1.33 | 10.6 |
p values are based on multivariate logistic regression analysis with significant independent variables from univariate analysis. Significant p values are in bold. Ref., reference category; OR, odds ratio (relative risk estimate); 95% CI, 95% confidence interval
Operator ratings for grindability and handling properties of the core build-up materials, separated for dentists and students (n = 292)
| Rating | Dentists | Students | ||
|---|---|---|---|---|
| Handling of material | ||||
| 1. RDC | 8.4 (1.2) | 1 vs 2: 0.54 | 7.6 (1.9) | 1 vs 2: 0.49 |
| 2. CDC | 8.5 (1.9) | 2 vs 3: | 7.3 (2.6) | 2 vs 3: 0.93 |
| 3. MF | 7.6 (2.4) | 1 vs 3: 0.06 | 7.2 (1.8) | 1 vs 3: 0.33 |
| Grindability of material | ||||
| 1. RDC | 8.7 (1.2) | 1 vs 2: 0.86 | 8.7 (1.5) | 1 vs 2: 0.30 |
| 2. CDC | 8.4 (1.2) | 2 vs 3: 0.10 | 8.3 (1.7) | 2 vs 3: 0.95 |
| 3. MF | 8.2 (2.1) | 1 vs 3: 0.10 | 8.3 (1.7) | 1 vs 3: 0.23 |
Significant p values are in bold