dc.contributor.author | Arias-Bujanda, N | |
dc.contributor.author | Regueira-Iglesias, A | |
dc.contributor.author | Balsa-Castro, C | |
dc.contributor.author | Nibali, L | |
dc.contributor.author | Donos, N | |
dc.contributor.author | Tomas, I | |
dc.date.accessioned | 2020-04-28T15:27:04Z | |
dc.date.available | 2019-09-13 | |
dc.date.available | 2020-04-28T15:27:04Z | |
dc.date.issued | 2019-09-27 | |
dc.identifier.citation | Arias‐Bujanda, N, Regueira‐Iglesias, A, Balsa‐Castro, C, Nibali, L, Donos, N, Tomás, I. Accuracy of single molecular biomarkers in saliva for the diagnosis of periodontitis: A systematic review and meta‐analysis. J Clin Periodontol. 2020; 47: 2– 18. https://doi.org/10.1111/jcpe.13202 | en_US |
dc.identifier.issn | 0303-6979 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/63795 | |
dc.description | This is the peer reviewed version of the following article: Arias‐Bujanda, N, Regueira‐Iglesias, A, Balsa‐Castro, C, Nibali, L, Donos, N, Tomás, I. Accuracy of single molecular biomarkers in saliva for the diagnosis of periodontitis: A systematic review and meta‐analysis. J Clin Periodontol. 2020; 47: 2– 18. https://doi.org/10.1111/jcpe.13202, which has been published in final form at https://doi.org/10.1111/jcpe.13202. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions | en_US |
dc.description.abstract | Aim
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.
Materials and Methods
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.
Results
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%).
Conclusions
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. | en_US |
dc.description.sponsorship | the Instituto de Salud Carlos III (General Division of Evaluation and Research Promotion, Madrid, Spain) and co‐financed by FEDER. Grant Number: Grant ISCIII/PI17/01722 the Consellería de Cultura, Educación e Ordenación Universitaria da Xunta de Galicia (Spain). Grant Number: Grant ED431B 2017/029 | en_US |
dc.format.extent | 2 - 18 | |
dc.language.iso | en | en_US |
dc.publisher | Wiley Online | en_US |
dc.relation.ispartof | JOURNAL OF CLINICAL PERIODONTOLOGY | |
dc.subject | diagnostic accuracy | en_US |
dc.subject | meta-analysis | en_US |
dc.subject | molecular biomarkers | en_US |
dc.subject | periodontitis | en_US |
dc.subject | predictive values | en_US |
dc.subject | prevalence | en_US |
dc.subject | saliva | en_US |
dc.subject | sensitivity | en_US |
dc.subject | specificity | en_US |
dc.subject | systematic review | en_US |
dc.title | Accuracy of single molecular biomarkers in saliva for the diagnosis of periodontitis: A systematic review and meta-analysis | en_US |
dc.type | Article | en_US |
dc.rights.holder | 2019 John Wiley & Sons A/S. | |
dc.identifier.doi | 10.1111/jcpe.13202 | |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000505278600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 1 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 47 | en_US |
dcterms.dateAccepted | 2019-09-13 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |