IADR Abstract Archives
Accuracy of Combined Salivary Biomarkers for the Diagnosis of Periodontitis: a Meta-Analysis
Objectives: This study conducted a meta-analysis of the diagnostic accuracy of combinations of salivary biomarkers for detecting periodontitis in systemically healthy subjects.
Methods: Studies were eligible for the analysis if they: examined combinations of molecular biomarkers detected in the saliva of individuals with clinically diagnosed periodontitis; and provided a binary classification table (or sensitivity and specificity values and group sample sizes). Six electronic databases were searched, and meta-analyses were performed using the hierarchical summary receiver operating characteristic, which adjusts the classification data using random-effects logistic regression (PROSPERO registration number: CRD42020175021).
Results: Meta-analyses were possible for five of the 16 potential biomarker combinations identified. The combinations IL1beta and IL6 and IL6 and MMP8 were associated with sensitivity and specificity estimates of 82% and 84%, and 84% and 82%, respectively; the combination of IL1beta and MMP8 had estimated sensitivity and specificity values of 79% and 83%. The three combinations of IL1beta, IL6 and MMP8 were determined to have a sensitivity of 81% and a specificity of 84%. The four combinations of IL1beta, IL6, MIP1alpha and MMP8 had estimated sensitivity and specificity values of 78%.
Conclusions: IL1beta and IL6, IL6 and MMP8, and IL1beta and MMP8 were the most investigated combinations for the diagnosis of periodontitis. Their combined use has excellent potential for detecting the disease, while their potential is good for detecting non-periodontitis status. This diagnostic capacity is not improved by incorporating other biomarkers. The use of these two salivary biomarker combinations appears to improve their performance in diagnosing periodontitis compared to their use individually, although more evidence is needed to corroborate these observations due to the limited number of published studies and the heterogeneity of the results.
Methods: Studies were eligible for the analysis if they: examined combinations of molecular biomarkers detected in the saliva of individuals with clinically diagnosed periodontitis; and provided a binary classification table (or sensitivity and specificity values and group sample sizes). Six electronic databases were searched, and meta-analyses were performed using the hierarchical summary receiver operating characteristic, which adjusts the classification data using random-effects logistic regression (PROSPERO registration number: CRD42020175021).
Results: Meta-analyses were possible for five of the 16 potential biomarker combinations identified. The combinations IL1beta and IL6 and IL6 and MMP8 were associated with sensitivity and specificity estimates of 82% and 84%, and 84% and 82%, respectively; the combination of IL1beta and MMP8 had estimated sensitivity and specificity values of 79% and 83%. The three combinations of IL1beta, IL6 and MMP8 were determined to have a sensitivity of 81% and a specificity of 84%. The four combinations of IL1beta, IL6, MIP1alpha and MMP8 had estimated sensitivity and specificity values of 78%.
Conclusions: IL1beta and IL6, IL6 and MMP8, and IL1beta and MMP8 were the most investigated combinations for the diagnosis of periodontitis. Their combined use has excellent potential for detecting the disease, while their potential is good for detecting non-periodontitis status. This diagnostic capacity is not improved by incorporating other biomarkers. The use of these two salivary biomarker combinations appears to improve their performance in diagnosing periodontitis compared to their use individually, although more evidence is needed to corroborate these observations due to the limited number of published studies and the heterogeneity of the results.