Publication
A prognostic model for the outcome of Nobel Biocare Dental Implants with peri-Implant disease after one year
dc.contributor.author | Nobre, Miguel de Araújo | |
dc.contributor.author | Salvado, Francisco | |
dc.contributor.author | Nogueira, Paulo Jorge | |
dc.contributor.author | Rocha, Evangelista | |
dc.contributor.author | Ilg, Peter | |
dc.contributor.author | Maló, Paulo | |
dc.date.accessioned | 2019-10-15T14:50:37Z | |
dc.date.available | 2019-10-15T14:50:37Z | |
dc.date.issued | 2019-09-01 | |
dc.description | © 2019 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | pt_PT |
dc.description.abstract | Background: This investigation, based on a 1-year retrospective cohort study, aimed to estimate and validate a prognostic model for ailing and failing implants due to peri-implant disease. Methods: A total of 240 patients (male: 97; female: 143; average age of 57.3 years) with at least one ailing or failing implant were included: 120 patients for model derivation and 120 patients for model validation. The primary outcome measure was the implant status: success, defined as the arrest of the disease, or failure defined as implant extraction, prevalence or re-incidence of peri-implant disease). Potential prognostic risk indicators were collected at the baseline evaluation. The relative risk (RR) was estimated for the predictors through logistic regression and the c-statistic (95% confidence interval) was calculated for both derivation and validation sets. The significance level was set at 5%. Results: The risk model retrieved the prognostic factors age (RR = 1.04), history of Periodontitis (RR = 3.13), severe peri-implant disease status (RR = 3.26), implant length (RR = 3.52), early disease development (RR = 3.99), with good discrimination in both the derivation set (0.763 [0.679; 0.847]) and validation set (0.709 [0.616; 0.803]). Conclusions: A prognostic risk model for estimating the outcome of implants with peri-implant disease is available, with a good performance considering the c-statistic evaluation. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | J. Clin. Med. 2019, 8(9), 1352 | pt_PT |
dc.identifier.doi | 10.3390/jcm8091352 | |
dc.identifier.issn | 2077-0383 | |
dc.identifier.uri | http://hdl.handle.net/10451/39854 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation.publisherversion | https://www.mdpi.com/journal/jcm | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Dental implants | pt_PT |
dc.subject | Peri-implant disease | pt_PT |
dc.subject | Peri-implantitis | pt_PT |
dc.subject | Risk | pt_PT |
dc.subject | Epidemiology | pt_PT |
dc.subject | Prognosis | pt_PT |
dc.title | A prognostic model for the outcome of Nobel Biocare Dental Implants with peri-Implant disease after one year | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 9 | pt_PT |
oaire.citation.title | Journal of Clinical Medicine | pt_PT |
oaire.citation.volume | 8 | pt_PT |
person.familyName | de Araújo Nobre | |
person.familyName | Salvado | |
person.familyName | Nogueira | |
person.familyName | Rocha | |
person.givenName | Miguel | |
person.givenName | Francisco João | |
person.givenName | Paulo Jorge | |
person.givenName | Evangelista Casimiro | |
person.identifier | 617615 | |
person.identifier | 1013768 | |
person.identifier.ciencia-id | 2F12-4A0D-AC2A | |
person.identifier.ciencia-id | A419-CBD5-656A | |
person.identifier.ciencia-id | 2410-2DCC-F213 | |
person.identifier.orcid | 0000-0002-7084-8301 | |
person.identifier.orcid | 0000-0002-1095-8090 | |
person.identifier.orcid | 0000-0001-8316-5035 | |
person.identifier.orcid | 0000-0002-8716-5259 | |
person.identifier.rid | V-5277-2019 | |
person.identifier.rid | D-2545-2018 | |
person.identifier.rid | AAR-5605-2020 | |
person.identifier.scopus-author-id | 16686056100 | |
person.identifier.scopus-author-id | 6508237629 | |
person.identifier.scopus-author-id | 7005428250 | |
person.identifier.scopus-author-id | 7102114548 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | cad73cfe-a46c-46b9-bb97-977683ad9dd0 | |
relation.isAuthorOfPublication | 8b961b0c-ea2a-4ea8-852b-ab9dc6640b0c | |
relation.isAuthorOfPublication | 9d24d0e5-5fab-4fef-b962-b0333e28f9d1 | |
relation.isAuthorOfPublication | e4c9c1ec-1fb8-4a87-a74f-c5db808c2c78 | |
relation.isAuthorOfPublication.latestForDiscovery | 9d24d0e5-5fab-4fef-b962-b0333e28f9d1 |