Table 2.
Authors, year, country | Sample size | Caries index | Type of saliva | Salivary parameters | Data analysis | Results |
---|---|---|---|---|---|---|
Nascimento et al., 2009, USA | 45 | DMFT | Whole unstimulated saliva | Arginine and urea | ANOVA | This study supports the theory that increased caries risk is associated with reduced alkali-generating capacity of the bacteria colonizing the oral cavity[8] |
Kaur et al., 2012, India | 60 | DMFT | Stimulated and unstimulated | Flow rate, pH, buffering capacity, relative viscosity, calcium, phosphorus, and alkaline phosphatase levels | Chi-square statistical analysis | The results of the study showed that with an increase in salivary flow, pH, buffering capacity, there will be a decrease in caries incidence leading to good oral health and a reduced caries incidence. Increased salivary viscosity, salivary biochemical indicators such as calcium, phosphorus, and alkaline phosphatase also play their respective role in determining caries susceptibility of an individual[9] |
Mithra et al., 2013, India | 100 | DMFT | Resting salivaStimulated saliva | Antioxidant level | ANOVA | There is a correlation between antioxidant level and dental caries as the antioxidant level increases the severity of dental caries also increases[10] |
Mithra et al., 2013, India | 12,500 | DMFT | Unstimulated saliva | SOD activity, copper and zinc levels | Student t-test | SOD activity, as well as copper and zinc levels, increased in the caries-active group and the results were statistically significant[11] |
Joana et al., 2013, Seattle | 1763 | Decayed, missing, or filled permanent teeth; visible cavitation; and visible interproximal enamel carious lesions | Stimulated and unstimulated | ConsistencyFlowpHBuffering capacity | Log-linear regression | The results of the study showed that there was no significant correlation between the salivary flow, pH and buffering capacity, and dental caries[2] |
Pavitra et al., 2013, India | 39 | DMFT | Unstimulated | Total protein levels | Pearson’s correlation test | The total salivary proteins levels show a linear increase with the DMFT index[12] |
Mithra et al., 2014, India | 80 | DMFT | Unstimulated | Salivary albumin levels | One-way ANOVAPearson’s correlation test | Increase in the levels of caries with decrease in the levels of albumin[13] |
Halina et al., 2014 | 27 | DMFT | Unstimulated | MUC1MUC5B | Mann-Whitney nonparametric’ U test | The levels of MUC1 and MUC5B were increased in individuals with high dental caries[14] |
Teng-Yu et al., 2015, China | 128 | DMFT | Unstimulated, whole saliva | PR3 | ANOVA | The protease PR3 is associated with the severity of dental caries, with low levels being associated with a greater severity of caries[15] |
Nireeksha et al., 2017, India | 80 | DMFT | Unstimulated | PRPs | One-way ANOVA Post hoc Tukey’s test | Proline-rich protein bands were present in 95% of the caries-free group, whereas caries active group showed 65% proline-rich protein bands[16] |
Monica et al., 2018 | 142 | Visual detection of dental caries based on the following scores: 0 - Absence of caries 1 - Change in enamel aspect 2 - Enamel breakdown but no dentin alteration 3 - Presence of underlying dark dentin 4 - Presence of a distinct cavity 5 - Presence of a large cavity |
Unstimulated | AlphaAmylase | Mann-Whitney test | The results showed that caries active children had higher levels of salivary enzyme which was statistically significant[17] |
SOD: Superoxide dismutase, MUC: Mucin, PR3: Proteinase 3, PRPs: Proline-rich proteins, DMFT: Decayed, Missing, and Filled Teeth