Markovic Dejan, Vukovic Ana, Soldatovic Ivan, Peric Tamara, Kilibarda Biljana, Rosianu Ruxandra Sava, Campus Guglielmo
Clinic for Pediatric and Preventive Dentistry, School of Dental Medicine, University of Belgrade, Belgrade, Serbia.
Department of Statistics and Bioinformatics, School of Medicine, University of Belgrade, Belgrade, Serbia.
Int J Paediatr Dent. 2023 Nov;33(6):585-594. doi: 10.1111/ipd.13072. Epub 2023 May 9.
Early childhood caries (ECC) requires systematically collected and standardized data.
To describe a novel multilevel calibration procedure in primary dentition.
Calibration method involved two calibration levels: the first (L ) involved an interexaminer agreement between three main investigators, the group leaders (GLs) in the following level; the second level (L ) involved three groups of 11 paediatric dentists and interexaminer agreement assessment according to the GLs in each group. The study sample consisted of 650 primary teeth surfaces in eight children (mean age 6.56 ± 2.22 years). Surface-by-surface percent agreement, tooth-by-tooth percent agreement, Cohen's kappa, and Fleiss kappa statistics were used to calculate interexaminer reliability. Statistical analysis was performed with SPSS 27.0.
Surface-by-surface percent agreement regarding ICDASepi-merged revealed almost perfect agreement (>90.00%) on both L and L . Kappa values and ranges showed good agreement at both L (overall κ = .95) and L (overall κ = .98) and almost perfect consistency was detected between GLs at L (>91.30%) and substantial agreement at L (>85.00%). All examiners at L showed almost perfect positive agreement (sensitivity = 96.77%-100%) when detecting the presence of dental plaque.
The calibration procedure appeared feasible prior to organizing multicenter epidemiological oral health survey in large population groups of preschool children, with higher number of examiners.
幼儿龋(ECC)需要系统收集和标准化的数据。
描述一种乳牙列的新型多级校准程序。
校准方法涉及两个校准级别:第一级(L₁)涉及三名主要研究者(即下一级的组长,GLs)之间的检查者间一致性;第二级(L₂)涉及三组,每组11名儿童牙医,并根据每组的组长进行检查者间一致性评估。研究样本包括8名儿童(平均年龄6.56±2.22岁)的650个乳牙表面。使用逐表面百分比一致性、逐牙百分比一致性、Cohen's kappa和Fleiss kappa统计量来计算检查者间的可靠性。使用SPSS 27.0进行统计分析。
关于ICDASepi合并的逐表面百分比一致性在L₁和L₂上均显示出几乎完美的一致性(>90.00%)。Kappa值和范围在L₁(总体κ = 0.95)和L₂(总体κ = 0.98)上均显示出良好的一致性,并且在L₁的组长之间检测到几乎完美的一致性(>91.30%),在L₂上有实质性一致性(>85.00%)。L₁的所有检查者在检测牙菌斑存在时均显示出几乎完美的阳性一致性(敏感性 = 96.77%-100%)。
在校准程序似乎可行的前提下,可在对大量学龄前儿童群体组织多中心流行病学口腔健康调查时,增加检查者数量。