| Literature DB >> 34220154 |
Cimara Fortes Ferreira1, João Luiz Carlini2, Ricardo de Souza Magini3, José Nazareno Gil4, André Luis Zétola5.
Abstract
AIM: The aim of this study is to compare allogeneic bone grafts associated with platelet-rich plasma (ALBGs-PRP) to autogenous bone grafts (ATBGs) for alveolar reconstructions in patients with cleft lip and palate (CLP).Entities:
Keywords: Allogeneic bone graft; alveolar cleft grafting; bone reconstructive procedures; chin bone harvest; platelet-rich plasma
Year: 2021 PMID: 34220154 PMCID: PMC8237810 DOI: 10.4103/ccd.ccd_342_20
Source DB: PubMed Journal: Contemp Clin Dent ISSN: 0976-2361
Figure 1Schematic design delimiting the areas to be incised during the surgical procedure
Figure 5The same material observed in Figure 4 combined with platelet-rich plasma induced bone graft clot
Figure 4Allogeneic bone graft material combined with platelet-rich plasma in the clotting phase
Figure 6Area considered 100% bone augmentation (ideal bone augmentation) delimited in whiteww
Figure 8Scale showing the first line drawn on the cervical aspect of the teeth adjacent to the cleft, representing less distortion, and the other lines drawn parallel to this one with a 3 mm distance between them
Data from the experimental group (number of charts, sex and age) and the measurements of the ideal bone augmentations
| Chart | Sex | Age (years) | Digital measure | |
|---|---|---|---|---|
| 33876 | M | 14 | 97,11% | |
| 38133 | F | 11 | 97,61% | |
| 39588 | F | 16 | 76,47% | |
| 38586 | M | 11 | 100% | |
| 39375 | M | 23 | 100% | |
| 39126 | M | 12 | 63,36% | |
| 38652 | M | 09 | 78,2% | |
| 35204 | F | 16 | 72,12% | |
| 33526 | M | 12 | 100% | |
| 35744 | M | 20 | 92,6% | |
| 35901 | F | 17 | 82,78% | |
| 35107 | F | 16 | 49,77% | |
| 35415 | M | 09 | 14,16% | |
| 35398 | F | 23 | 74,12% | |
| 35420 | M | 13 | 100% |
This analysis showed that none of the factors: group (control and experimental), sex, age (ideal and nonideal) have statistical significant difference over the digital measurement variable in a confidence level of 95%
Data from the control group (number of charts, sex and age) and the measurements of the ideal bone augmentation
| Chart | Sex | Age (years) | Digital measure | |
|---|---|---|---|---|
| 38247 | M | 23 | 34,12% | |
| 40103 | F | 12 | 100% | |
| 35426 | M | 13 | 40,71% | |
| 37988 | F | 16 | 87,07% | |
| 33210 | M | 14 | 100% | |
| 33527 | F | 22 | 53% | |
| 35346 | M | 11 | 100% | |
| 33506 | M | 11 | 100% | |
| 33526 | M | 18 | 87,72% | |
| 33644 | F | 16 | 65,21% | |
| 33592 | M | 14 | 85,42% | |
| 35416 | F | 11 | 89,35% | |
| 34735 | M | 18 | 58,93% | |
| 36912 | M | 13 | 100% | |
| 35368 | F | 21 | 96,99% |
The Student ´t test was applied for independent groups. Where t = 1.703391E-03 (P = 0.9986)
| Control Group | Experimental Group | |
|---|---|---|
| 15 | 15 | |
| 79.90 | 79.89 | |
| 23.23 | 23.29 | |
| 87.72 | 82.78 |
Result of the ANOVA Analysis for the digital measurement variable. This analysis decomposes the variability of the digital measurement in contributions according to the factors: group, sex and age. Once the sum of the type III squares was chosen, the contribution of each factor was measured with the effect of the other factors being removed. The probability values tested the statistical significance of each factor. Since the P values on the statistical analysis are smaller than 0.05, no factor showed a significant statistical effect on the digital measurement variable on a confidence level in 95%.
| Sum of the squares | Liberty degree | Medium square | F rate | P value | |
|---|---|---|---|---|---|
| 5.76436 | 1 | 5.76436 | 0.01 | 0.9218 | |
| 272.945 | 1 | 272.945 | 0.47 | 0.5013 | |
| 8.06939 | 1 | 8.06939 | 0.01 | 0.9076 | |
| 15261.3 | 26 | 586.975 | |||
| 15562.4 | 29 |
Graph 1Confidence intervals in 95% for the digital measurement variable in function of the group (control and test) factor
Graph 2Confidence intervals in 95% for the digital measurement variable in function of the age (ideal and not ideal) factor
Graph 3Confidence intervals in 95% for the digital measurement variable in function of the sex (female and male) factor