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Abstract：
To analyse, by means of a meta-analytical approach, the diagnostic accuracy of molecular biomarkers in gingival crevicular fluid (GCF) for the detection of periodontitis in systemically healthy subjects.
Studies on GCF molecular biomarkers providing a binary classification table (or sensitivity and specificity values and group sample sizes) in individuals with clinically diagnosed periodontitis were considered eligible. The search was performed using six electronic databases. The methodological quality of studies was assessed through the tool Quality Assessment of Diagnostic Studies. Meta-analyses were performed using the Hierarchical Summary Receiver Operating Characteristic, which adjusts classification data using random effects logistic regression.
The included papers identified 36 potential biomarkers for the detection of periodontitis and for four of them meta-analyses were performed. The median sensitivity and specificity were for MMP8, 76.7% and 92.0%; for elastase, 74.6% and 81.1%; for cathepsin, 72.8% and 67.3%, respectively. The worst estimates of sensitivity and specificity were for trypsin (71.3% and 66.1%, respectively).
MMP8 showed good sensitivity and excellent specificity, which resulted in this biomarker being clinically the most useful or effective for the diagnosis of periodontitis in systemically healthy subjects, regardless of smoking condition.
Studies on GCF molecular biomarkers providing a binary classification table (or sensitivity and specificity values and group sample sizes) in individuals with clinically diagnosed periodontitis were considered eligible. The search was performed using six electronic databases. The methodological quality of studies was assessed through the tool Quality Assessment of Diagnostic Studies. Meta-analyses were performed using the Hierarchical Summary Receiver Operating Characteristic, which adjusts classification data using random effects logistic regression.
The included papers identified 36 potential biomarkers for the detection of periodontitis and for four of them meta-analyses were performed. The median sensitivity and specificity were for MMP8, 76.7% and 92.0%; for elastase, 74.6% and 81.1%; for cathepsin, 72.8% and 67.3%, respectively. The worst estimates of sensitivity and specificity were for trypsin (71.3% and 66.1%, respectively).
MMP8 showed good sensitivity and excellent specificity, which resulted in this biomarker being clinically the most useful or effective for the diagnosis of periodontitis in systemically healthy subjects, regardless of smoking condition.
摘要：
为了分析，通过元分析方法，龈沟液（GCF）中的分子生物标志物对全身健康受试者牙周炎的诊断准确性。
在临床诊断为牙周炎的个体中提供二元分类表（或敏感性和特异性值以及组样本大小）的GCF分子生物标记的研究被认为是合格的。使用六个电子数据库进行搜索。研究的方法学质量通过诊断研究质量评估工具进行评估。荟萃分析使用分层汇总接收器工作特征，它使用随机效应逻辑回归调整分类数据。
纳入的论文确定了36种用于牙周炎检测的潜在生物标志物，并对其中4种进行了荟萃分析。MMP8的敏感性和特异性中位数分别为76.7%和92.0%;弹性蛋白酶,74.6%和81.1%；对于组织蛋白酶，72.8%和67.3%，分别。敏感性和特异性的最差估计是胰蛋白酶（71.3％和66.1％，分别)。
MMP8显示出良好的灵敏度和优异的特异性，这导致这种生物标志物在临床上对诊断系统健康受试者的牙周炎最有用或有效，无论吸烟情况如何。
在临床诊断为牙周炎的个体中提供二元分类表（或敏感性和特异性值以及组样本大小）的GCF分子生物标记的研究被认为是合格的。使用六个电子数据库进行搜索。研究的方法学质量通过诊断研究质量评估工具进行评估。荟萃分析使用分层汇总接收器工作特征，它使用随机效应逻辑回归调整分类数据。
纳入的论文确定了36种用于牙周炎检测的潜在生物标志物，并对其中4种进行了荟萃分析。MMP8的敏感性和特异性中位数分别为76.7%和92.0%;弹性蛋白酶,74.6%和81.1%；对于组织蛋白酶，72.8%和67.3%，分别。敏感性和特异性的最差估计是胰蛋白酶（71.3％和66.1％，分别)。
MMP8显示出良好的灵敏度和优异的特异性，这导致这种生物标志物在临床上对诊断系统健康受试者的牙周炎最有用或有效，无论吸烟情况如何。
