Effect of periodontal treatment in patients with periodontitis and diabetes: systematic review and meta-analysis The evidence is inconclusive regarding the effect of periodontal treatment on glycemic control and systemic inflammation in patients with type 2 diabetes (T2D) and periodontitis Objective: To evaluate the effect of scaling and root planing (SRP) on the metabolic control and systemic inflammation of patients with type 2 diabetes (T2D). Methodology: A literature search was conducted using the MEDLINE database via PubMed and the Cochrane Central Register of Controlled Trials, from their oldest records up to July 2018. Only randomized clinical trials (RCT) were considered eligible for evaluating the effect of periodontal treatment on markers of metabolic control [glycated hemoglobin (HbA1C)] and systemic inflammation [C-reactive protein (CRP)] in patients with T2D. The quality of the studies was evaluated using the Cochrane Collaboration risk assessment tool. Meta-analyses were performed for HbA1c and CRP using random effects models. The size of the overall intervention effect was estimated by calculating the weighted average of the differences in means (DM) between the groups in each study. Heterogeneity was assessed using the Q-statistic method (x 2 and I²). The level of significance was established at p<0.05. Results: Nine RCT were included. SRP was effective in reducing HbA1c [DM=0.56 (0.36-0.75); p<0.01] and CRP [DM=1.89 (1.70-2.08); p<0.01]. No heterogeneity was detected (I 2 =0%, p>0.05). Conclusions: SRP has an impact on metabolic control and reduction of systemic inflammation of patients with T2D.
Gingival crevicular fluid composition is modified by CP and AAP. MMP-9 and MMP-8 show diagnostic potential for CP and AAP, whereas MMP-2 and TRAP-5 are useful only for CP.
BackgroundThe co-occurrence of caries and periodontitis and a possible association is still a matter of debate. Thus, the aim of the study was to determine the co-occurrence of caries and periodontitis in Chilean adults.MethodsEvaluation of periodontal and dental status in 994 adults (35–44 years old) based on the First Chilean National Examination Survey 2007–2008. The prevalence of caries was defined as the percentage of participants with one or more teeth with untreated caries by using the D component of the DMFT index (DT ≠ 0). The prevalence of periodontitis was determined using standard case definitions for population-based surveillance of periodontitis described by the CDC–AAP.ResultsIndividuals with caries had an approximately 40% higher prevalence of severe (29.3% vs 20.8%, p < 0.05) and a 13% higher prevalence of total periodontitis (89.3% vs 78.4%, p < 0.05) than those without caries. Ordinal logistic regression revealed a positive association between periodontitis and the number of teeth with caries (DT ≠ 0; 3 or 4 teeth with caries: OR 1.74; CI = 1.12–2.29 p < 0.05; 5 or more teeth with caries: OR 2.47; CI = 1.66–3.67 p < 0.01).ConclusionDental caries is associated with the severity and prevalence of periodontitis in Chilean adults. Individuals with 3 or more teeth with untreated caries are more likely to suffer from periodontal disease.
Background. Subjects with type 2 diabetes mellitus (DM2) require an adequate glycemic control to avoid diabetic complications. Currently, saliva biomarkers are used as a diagnostic tool and can be indicative of the degree of progression and control of various diseases. Several studies indicate that α-2-macroglobulin levels are elevated in diabetic patients. Methods. 120 subjects with DM2 were enrolled and classified into two groups according to their glycemic control (percentage of glycated hemoglobin-A1c (HbA1c), <7% adequate glycemic control group; >7% inadequate glycemic control group). The relationship between α-2-macroglobulin levels from saliva samples and HbA1c was subsequently evaluated. Results. We found a positive correlation between α-2-macroglobulin and HbA1c (r = 0.778 and P < 0.0001). Area under the receivers operating characteristic (ROC) curve of α-2-macroglobulin indicated a positive discrimination threshold of α-2-macroglobulin (AUC = 0.903, CI 95%: 0.847–0.959, P < 0.0001) to diagnose glycemic control. Conclusions. Our data strongly suggest that the level of saliva α-2-macroglobulin is an indicator for the degree of glycemic control in diabetic patients and represents a promising alternative method to evaluate this parameter.
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