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首页> 外文期刊>Journal of Dental Sciences >Caries in primary molars of 6–7-year-old Turkish children as risk indicators for future caries development in permanent molars
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Caries in primary molars of 6–7-year-old Turkish children as risk indicators for future caries development in permanent molars

机译:6-7岁土耳其儿童初级磨牙中的龋齿作为未来恒牙磨牙发展的风险指标

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Background/purpose The aim of the present study was to investigate whether caries existence in the primary dentition at the age of 6-7 years can serve as a test to predict subsequent caries in the permanent first molars. Clinical examinations were carried out in suboptimal conditions of a school-based screening, where non-cavitated enamel caries could not be recorded. Materials and methods Caries were recorded at baseline and 4 years later in 286 Turkish children aged 6-7 years old. Spearman's correlation coefficients between variables of the caries experience of the primary dentition at the age of 6-7 years and caries in the permanent first molars at the age of 10-11 years were calculated. The area under the ROC curve was used as a measure of predictive accuracy. Results Caries experience of the primary dentition (dmft), primary molars (dmft molars), and primary second molars (dmft 2nd molars) showed a statistically significant correlation with caries (DMFT) 4 years later in the permanent first molars. Among the variables, the caries experience of the primary second molars was the most powerful caries predictor, which resulted in a value of 0.69 under the ROC curve. Conclusion With the selection criterion “dmft2ndmolars = 0” in this low-caries-incidence pediatric population, it was possible to identify children truly negative for misclassification.
机译:背景/目的本研究的目的是调查6-7岁时在原牙中存在的龋齿是否可以作为预测永久性第一磨牙中随后龋齿的测试。在基于学校的筛查的次优条件下进行临床检查,在这种情况下,无法记录非空化的釉质龋齿。材料和方法基线时和4年后,在286名6-7岁的土耳其儿童中记录了龋病。计算了6-7岁时原发牙的龋齿经验和10-11岁时永久性第一磨牙的龋齿之间的Spearman相关系数。 ROC曲线下的面积用作预测准确性的量度。结果4年后,永久性第一磨牙中的第一齿列(dmft),第一磨牙(dmft磨牙)和第二磨牙(dmft 2nd磨牙)的龋齿经验与龋齿(DMFT)具有统计学显着的相关性。在这些变量中,初级第二磨牙的龋齿经历是最有力的龋齿预测因子,根据ROC曲线得出的值为0.69。结论在低龋病小儿人群中,选择标准为“ dmft2ndmolars = 0”,有可能识别出真正错误分类为阴性的儿童。

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