Nora Arias-Bujanda1, Alba Regueira-Iglesias1, Carlos Balsa-Castro1, Luigi Nibali2, Nikos Donos3, Inmaculada Tomás1. 1. Oral Sciences Research Group, Department of Surgery and Medical Surgical Specialties, School of Medicine and Dentistry, Health Research Institute Foundation of Santiago (FIDIS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. 2. Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK. 3. Centre for Oral Immunobiology and Regenerative Medicine and Centre for Oral Clinical Research, Queen Mary University of London, London, UK.
Abstract
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.
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.
Authors: Ismo T Räisänen; Kehinde A Umeizudike; Pirjo Pärnänen; Pia Heikkilä; Taina Tervahartiala; Solomon O Nwhator; Andreas Grigoriadis; Dimitra Sakellari; Timo Sorsa Journal: Med Hypotheses Date: 2020-09-16 Impact factor: 1.538
Authors: Timo Sorsa; Saeed Alassiri; Andreas Grigoriadis; Ismo T Räisänen; Pirjo Pärnänen; Solomon O Nwhator; Dirk-Rolf Gieselmann; Dimitra Sakellari Journal: Diagnostics (Basel) Date: 2020-01-22
Authors: Liza L Ramenzoni; Deborah Hofer; Alex Solderer; Daniel Wiedemeier; Thomas Attin; Patrick R Schmidlin Journal: BMC Oral Health Date: 2021-08-05 Impact factor: 2.757