| Literature DB >> 33789655 |
Laura Regina A Pontes1, Juan Sebastian Lara1,2, Tatiane Fernandes Novaes1,3, Julia Gomes Freitas1, Thais Gimenez1,4, Bruna Lorena P Moro1, Haline C M Maia1, José Carlos P Imparato1, Mariana M Braga1, Daniela P Raggio1, Fausto M Mendes5.
Abstract
BACKGROUND: To evaluate the clinical course and interventions required during two years of follow-up of dental surfaces of deciduous molars diagnosed, and consequently treated, by two different strategies: diagnosis made by clinical examination alone or associated with radiographs.Entities:
Keywords: Children; Clinical trial; Dental caries; Diagnosis; Primary teeth; Radiography
Year: 2021 PMID: 33789655 PMCID: PMC8011211 DOI: 10.1186/s12903-021-01528-w
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Fig. 1Conceptual framework built to perform the multilevel logistic analysis to evaluate the influence of the results obtained with different diagnostic strategies on the occurrence of new operative treatments during the follow-up
Fig. 2Decision tree (general view) considering caries lesions detection and subsequent treatment (no treatment, non-operative and operative treatment) performed first with visual inspection and then with the adjunct radiographic method in occlusal and proximal surfaces of primary molars. Values indicate the absolute number of surfaces
Fig. 3Decision tree focused on the dental surfaces with the indication of no treatment according to the visual inspection (Fig. 2, pathway a). Italicized numbers indicate the number of surfaces. Unformatted numbers indicated the frequency in relation to the total number of surfaces (n = 4383), and figures in parenthesis are the 95% confidence intervals adjusted by the cluster
Fig. 4Decision tree focused on the dental surfaces with the indication of non-operative treatment according to the visual inspection (Fig. 2, pathway b). Italicized numbers indicate the number of surfaces. Unformatted numbers indicated the frequency in relation to the total number of surfaces (n = 4383), and figures in parenthesis are the 95% confidence intervals adjusted by the cluster
Fig. 5Decision tree focused on the dental surfaces with indication of operative treatment according to the visual inspection (Fig. 2, pathway c). Italicized numbers indicate the number of surfaces. Unformatted numbers indicated the frequency in relation to the total number of surfaces (n = 4383), and figures in parenthesis are the 95% confidence intervals adjusted by the cluster
Fig. 6Decision tree for the decision of operative treatment for occlusal and proximal surfaces of primary molars decided first by visual inspection and then with adjunct radiographic method. Italicized numbers indicate the number of surfaces. Unformatted numbers indicated the frequency in relation to the total number of surfaces, and figures in parenthesis are the 95% confidence intervals adjusted by the cluster
Multilevel logistic regression considering the results from different diagnostic strategies for decision to restore the dental surfaces and occurrence of a new operative intervention during the follow-up
| Explanatory variables | Univariate analyses | Multiple model 1** | Multiple model 2*** |
|---|---|---|---|
| Unadjusted OR (95%CI) | Adjusted OR (95%CI) | Adjusted OR (95%CI) | |
| Vis: positive; Rad: positive | 1.00 | 1.00 | 1.00 |
| Vis: positive; Rad: negative | 0.78 (0.20–3.04) | 0.85 (0.21–3.36) | 0.85 (0.21–3.39) |
| Vis: negative; Rad: positive | 4.52* (1.95–10.49) | 6.12* (2.54–14.77) | 8.62* (2.72–27.33) |
| Vis: negative; Rad: negative | 0.09* (0.05–0.14) | 0.13* (0.07–0.21) | 0.23* (0.06–0.97) |
| Non-restored | 1.00 | 1.00 | |
| Restored | 11.43* (7.28–17.92) | 1.87 (0.49–7.16) | |
| Proximal | 1.00 | 1.00 | 1.00 |
| Occlusal | 1.91* (1.41–2.59) | 1.28 (0.90–1.83) | 1.29 (0.90–1.84) |
| 1st molar | 1.00 | 1.00 | 1.00 |
| 2nd molar | 0.52* (0.33–0.81) | 0.55* (0.34–0.90) | 0.55* (0.34–0.90) |
| dmf-s = 0–3 | 1.00 | 1.00 | 1.00 |
| dmf-s > 3 | 8.71* (4.20–18.06) | 5.35* (2.50–11.44) | 5.37* (2.50–11.54) |
| 3 or 4 years old | 1.00 | 1.00 | 1.00 |
| 5 or 6 years old | 0.69 (0.33–1.43) | 0.43* (0.21–0.85) | 0.42* (0.21–0.85) |
OR, odds ratio; 95%CI, 95% confidence intervals; Vis, visual inspection method; Rad, radiographic method; dmf-s, number of dental surfaces from primary teeth decayed, missed or filled
*Association statistically significant (p < 0.05)
**Multiple model 1 included only the confounding variables according to our predetermined conceptual framework
***Multiple model 2 included confounding variables and treatment performed as a possible mediator for failure occurrences
Fig. 7Mediation analysis to evaluate if performing a restoration mediates the occurrence of new operative interventions in the surfaces where caries lesions were missed by visual inspection but detected by radiographs (a: direct effect; b: mediated effect). Numbers represent the multilevel logistic regression coefficients (standard errors) adjusted by type of teeth, dental surface, caries experience and child’s age. P value was derived through Sobel test
Fig. 8Time-to-event analysis for the surfaces with caries lesions detected only by radiographic method considering their clinical course (n = 121). Each arrow indicates a dental surface with a negative result through visual inspection, but positive result with radiographs. When N is indicated, there were more than one surfaces following the same clinical course