Accuracy of single molecular biomarkers in gingival crevicular fluid for the diagnosis of periodontitis: A systematic review and meta‐analysis

Aim 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. Material and Methods Studies on GCF molecular biomarkers providing a binary classification t...

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Veröffentlicht in:Journal of clinical periodontology 2019-12, Vol.46 (12), p.1166-1182
Hauptverfasser: Arias‐Bujanda, Nora, Regueira‐Iglesias, Alba, Balsa‐Castro, Carlos, Nibali, Luigi, Donos, Nikos, Tomás, Inmaculada
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container_end_page 1182
container_issue 12
container_start_page 1166
container_title Journal of clinical periodontology
container_volume 46
creator Arias‐Bujanda, Nora
Regueira‐Iglesias, Alba
Balsa‐Castro, Carlos
Nibali, Luigi
Donos, Nikos
Tomás, Inmaculada
description Aim 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. Material and Methods 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. Results 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). Conclusions 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.
doi_str_mv 10.1111/jcpe.13188
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Material and Methods 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. Results 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). Conclusions 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.</description><identifier>ISSN: 0303-6979</identifier><identifier>EISSN: 1600-051X</identifier><identifier>DOI: 10.1111/jcpe.13188</identifier><identifier>PMID: 31444912</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Biomarkers ; Cathepsins ; Classification ; Diagnosis ; diagnostic accuracy ; Elastase ; Gingival Crevicular Fluid ; Gum disease ; Humans ; Meta-analysis ; molecular biomarkers ; Neutrophil collagenase ; Periodontitis ; predictive values ; prevalence ; Quality control ; sensitivity ; Sensitivity and Specificity ; specificity ; systematic review ; Trypsin</subject><ispartof>Journal of clinical periodontology, 2019-12, Vol.46 (12), p.1166-1182</ispartof><rights>2019 John Wiley &amp; Sons A/S. Published by John Wiley &amp; Sons Ltd</rights><rights>2019 John Wiley &amp; Sons A/S. Published by John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2019 John Wiley &amp; Sons A/S. 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Material and Methods 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. Results 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). 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Regueira‐Iglesias, Alba ; Balsa‐Castro, Carlos ; Nibali, Luigi ; Donos, Nikos ; Tomás, Inmaculada</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4598-409cc6d3cc71d7d35ccbacfccdd745e47b0bbd6d560a9bcbd8f8594317d378b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomarkers</topic><topic>Cathepsins</topic><topic>Classification</topic><topic>Diagnosis</topic><topic>diagnostic accuracy</topic><topic>Elastase</topic><topic>Gingival Crevicular Fluid</topic><topic>Gum disease</topic><topic>Humans</topic><topic>Meta-analysis</topic><topic>molecular biomarkers</topic><topic>Neutrophil collagenase</topic><topic>Periodontitis</topic><topic>predictive values</topic><topic>prevalence</topic><topic>Quality control</topic><topic>sensitivity</topic><topic>Sensitivity and Specificity</topic><topic>specificity</topic><topic>systematic review</topic><topic>Trypsin</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arias‐Bujanda, Nora</creatorcontrib><creatorcontrib>Regueira‐Iglesias, Alba</creatorcontrib><creatorcontrib>Balsa‐Castro, Carlos</creatorcontrib><creatorcontrib>Nibali, Luigi</creatorcontrib><creatorcontrib>Donos, Nikos</creatorcontrib><creatorcontrib>Tomás, Inmaculada</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; 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Material and Methods 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. Results 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). 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subjects Biomarkers
Cathepsins
Classification
Diagnosis
diagnostic accuracy
Elastase
Gingival Crevicular Fluid
Gum disease
Humans
Meta-analysis
molecular biomarkers
Neutrophil collagenase
Periodontitis
predictive values
prevalence
Quality control
sensitivity
Sensitivity and Specificity
specificity
systematic review
Trypsin
title Accuracy of single molecular biomarkers in gingival crevicular fluid for the diagnosis of periodontitis: A systematic review and meta‐analysis
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