Accuracy of single molecular biomarkers in saliva for the diagnosis of periodontitis: A systematic review and meta-analysis.
diagnostic accuracy
meta-analysis
molecular biomarkers
periodontitis
predictive values
prevalence
saliva
sensitivity
specificity
systematic review
Journal
Journal of clinical periodontology
ISSN: 1600-051X
Titre abrégé: J Clin Periodontol
Pays: United States
ID NLM: 0425123
Informations de publication
Date de publication:
01 2020
01 2020
Historique:
received:
24
04
2019
revised:
25
07
2019
accepted:
13
09
2019
pubmed:
29
9
2019
medline:
18
8
2020
entrez:
28
9
2019
Statut:
ppublish
Résumé
To analyse, using a meta-analytical approach, the diagnostic accuracy of single molecular biomarkers in saliva for the detection of periodontitis in systemically healthy subjects. Articles on molecular biomarkers in saliva providing a binary contingency table (or sensitivity and specificity values and group sample sizes) in individuals with clinically diagnosed periodontitis were considered eligible. Searches for candidate articles were conducted in six electronic databases. The methodological quality was assessed through the tool Quality Assessment of Diagnostic Studies. Meta-analyses were performed using the Hierarchical Summary Receiver Operating Characteristic model. Meta-analysis was possible for 5 of the 32 biomarkers studied. The highest values of sensitivity for the diagnosis of periodontitis were obtained for IL1beta (78.7%), followed by MMP8 (72.5%), IL6 and haemoglobin (72.0% for both molecules); the lowest sensitivity value was for MMP9 (70.3%). In terms of specificity estimates, MMP9 had the best result (81.5%), followed by IL1beta (78.0%) and haemoglobin (75.2%); MMP8 had the lowest specificity (70.5%). MMP8, MMP9, IL1beta, IL6 and Hb were salivary biomarkers with good capability to detect periodontitis in systemically healthy subjects. MMP8 and IL1beta are the most researched biomarkers in the field, both showing clinically fair effectiveness for the diagnosis of periodontitis.
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2-18Informations de copyright
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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