Vivianne Chappuis1, Gustavo Avila-Ortiz2, Mauricio G Araújo3, Alberto Monje1. 1. Department of Oral Surgery and Stomatology, School of Dental Medicine, University of Bern, Bern, Switzerland. 2. Department of Periodontics, College of Dentistry, University of Iowa, Iowa City, IA, USA. 3. Department of Dentistry, State University of Maringa, Maringa, Brazil.
Abstract
OBJECTIVES: The aim of this systematic review was to investigate the association between the intake of systemic medications that may affect bone metabolism and their subsequent impact on implant failures. MATERIAL AND METHODS: Electronic and manual literature searches were conducted. Implant failure (IF) was the primary outcome, while biological/mechanical and the causes/timing associated with IF were set as secondary outcomes. Meta-analyses for the binary outcome IF and odds ratio were performed to investigate the association with medications. RESULTS: A final selection of 17 articles was screened for qualitative assessment. As such, five studies focused on evaluating the association of implant failure and non-steroidal anti-inflammatory drugs (NSAIDs), two on selective serotonin reuptake inhibitors (SSRIs), two on proton pump inhibitors (PPIs), seven on bisphosphonates (BPs), and one on anti-hypertensives (AHTNs). For PPIs, the fixed effect model estimated a difference of IF rates of 4.3%, indicating significantly higher IF rates in the test compared to the control group (p < 0.5). Likewise, for SSRIs, the IF was shown to be significantly higher in the individuals taking SSRIs (p < 0.5) as estimated a difference of 7.5%. No subset meta-analysis could be conducted for AHTNs medications as only one study fulfilled the inclusion criteria, which revealed an increased survival rate of AHTN medication. None of the other medications yielded significance. CONCLUSIONS: The present systematic review showed an association of PPIs and SSRIs with an increased implant failure rate. Hence, clinicians considering implant therapy should be aware of possible medication-related implant failures.
OBJECTIVES: The aim of this systematic review was to investigate the association between the intake of systemic medications that may affect bone metabolism and their subsequent impact on implant failures. MATERIAL AND METHODS: Electronic and manual literature searches were conducted. Implant failure (IF) was the primary outcome, while biological/mechanical and the causes/timing associated with IF were set as secondary outcomes. Meta-analyses for the binary outcome IF and odds ratio were performed to investigate the association with medications. RESULTS: A final selection of 17 articles was screened for qualitative assessment. As such, five studies focused on evaluating the association of implant failure and non-steroidal anti-inflammatory drugs (NSAIDs), two on selective serotonin reuptake inhibitors (SSRIs), two on proton pump inhibitors (PPIs), seven on bisphosphonates (BPs), and one on anti-hypertensives (AHTNs). For PPIs, the fixed effect model estimated a difference of IF rates of 4.3%, indicating significantly higher IF rates in the test compared to the control group (p < 0.5). Likewise, for SSRIs, the IF was shown to be significantly higher in the individuals taking SSRIs (p < 0.5) as estimated a difference of 7.5%. No subset meta-analysis could be conducted for AHTNs medications as only one study fulfilled the inclusion criteria, which revealed an increased survival rate of AHTN medication. None of the other medications yielded significance. CONCLUSIONS: The present systematic review showed an association of PPIs and SSRIs with an increased implant failure rate. Hence, clinicians considering implant therapy should be aware of possible medication-related implant failures.
Authors: Elena Dragioti; Marco Solmi; Angela Favaro; Paolo Fusar-Poli; Paola Dazzan; Trevor Thompson; Brendon Stubbs; Joseph Firth; Michele Fornaro; Dimitrios Tsartsalis; Andre F Carvalho; Eduard Vieta; Philip McGuire; Allan H Young; Jae Il Shin; Christoph U Correll; Evangelos Evangelou Journal: JAMA Psychiatry Date: 2019-12-01 Impact factor: 21.596
Authors: Shuning Li; Karmen S Williams; Jayanth Kumar Medam; Jay S Patel; Theresa Gonzalez; Thankam P Thyvalikakath Journal: Front Digit Health Date: 2022-05-12