Odontologic Hospital of the University of Barcelona
Barcelona, 08970, Spain
NCT Number: NCT07766707
Introduction: Dental implants offer a durable, aesthetic, and functional option for tooth replacement. However, they are not immune to failure. Current literature has highlighted the importance of systemic factors (such as vitamin D deficiency and osteoporosis) and local factors (such as the presence of nearby periapical infections or implant placement in sites with a history of endodontic failure) that affect bone health.
Hypothesis: Bone alterations-whether systemic or local-represent a risk factor for implant failure and peri-implantitis.
Objectives: To analyze implant failure and marginal bone loss in patients with local and/or systemic bone alterations compared to patients without such conditions.
Methods: Implant failures occurring in patients treated within the Master's Program in Oral Medicine, Surgery, and Implantology at the University of Barcelona (MCIO-UB) over the last 10 years will be analyzed and correlated with bone factors (local and systemic) recorded in their medical histories. Cases lacking the radiographic and clinical data necessary to conduct the study will be excluded.
Population: A total of 3,500 implants have been placed, with failure rates ranging from 4% to 8% depending on the techniques used; consequently, the study sample will consist of 192 implants. Cohorts of successful implants will be established by matching patients of the same sex and within a ±5-year age range who did not experience implant failure.
This study is active but is not currently recruiting participants.
Notify Me18 year and older
All sexes
Observational
Barcelona, 08970, Spain
STUDY DESIGN This is a retrospective cohort study.
PATIENTS AND SAMPLE The sample will be selected from patients who have undergone implant placement at the University of Barcelona Dental Hospital (HOUB).
Inclusion criteria
Exclusion criteria
for the study group:
Sample size calculation:
Based on a total of 3,500 implants placed over 10 years and an expected proportion of 0.05, the calculated sample size is 192 implants. Although this is a retrospective study, we will aim to obtain the maximum number of cases, with a minimum of 50. Considering that the rate of peri-implantitis in implants adjacent to a tooth with periapical pathology can be 31%, compared to 2.8% for those that are not(18),The minimum sample size for implants with peri-implantitis (Yes/No) would be 36, with a confidence interval of 0.05.
METHODS, TECHNIQUES, TESTS, INTERVENTIONS
Peri-implantitis will be categorized based on the degree of mesial and distal bone loss around the implants, using the index employed by Monje et al. (23): Mild: 3-4 mm or < 25% of implant length. Moderate: 4-5 mm or ≥ 25%-50% of implant length. Advanced: > 6 mm or > 50% of implant length.
The following primary variables will be analyzed:
ITEMS VARIABLES Sex Categorical-dichotomous Age Numerical-continuous
The variables studied regarding the implant analysis will be:
MEASUREMENT VARIABLE TYPE Analyzed implant Categorical-polychotomous Type of regeneration Categorical-polychotomous Dimensions of achieved regeneration (in mm) Numerical-continuous Type of material used for regeneration Categorical-polychotomous Measurements of the implant platform-to-bone crest relationship (in mm) Numerical-continuous Measurement of mesial-distal bone loss (in mm) Numerical-continuousTime from implant placement to the radiograph taken to assess bone loss (in months) Continuous numerical Implant failure Dichotomous categorical Time from implant placement to implant failure (in months) Continuous numerical Implant type Polychotomous categorical Prosthesis type Polychotomous categorical
The variables studied regarding the relationship with an endodontically treated tooth will be:
MEASUREMENT VARIABLE TYPE Implant analyzed Polychotomous categorical Distance to the tooth (in mm) Continuous numerical Periapical Index (PAI) Polychotomous categorical Implant site in relation to endodontic failure Dichotomous categorical Periapical lesion dimensions (in mm) Continuous numerical Signs and symptoms of endodontic failure Polychotomous categorical Time since extraction Continuous numerical
The parameters analyzed from blood tests and medical history will be:
VARIABLE VARIABLE TYPE Creatinine Continuous numerical BUN Continuous numerical Glomerular filtration rate Continuous numerical Urea Continuous numerical Calcium Continuous numerical Phosphorus Continuous numericalVitamina D 25 Vitamin D 25 Numerical-continuous PTH Numerical-continuous C-reactive protein Numerical-continuous ESR Numerical-continuous Osteoporosis Categorical-dichotomous
In summary, the methodology to be used is as follows:
DATA INTERPRETATION AND STATISTICAL METHODS Variable data will be entered into Microsoft Excel (Microsoft Office 2019 suite; Microsoft Corporation, Washington, USA, 2013) and analyzed using SPSS 26.0 for Windows (SPSS, Illinois, USA, 2019).
Logic, range, and result consistency tests will be used for data management. For categorical variables, a descriptive analysis will be conducted using tables of absolute and relative frequencies (frequency and percentage), along with a bivariate analysis using a chi-square test when the conditions for... are not met....application. For scale variables, normality will be assessed using the Shapiro-Wilk test (p > 0.1) and visual analysis of normal P-P plots and box plots. If the conditions for application are met, a descriptive analysis based on the mean and standard deviation will be performed, along with a bivariate analysis using parametric ANOVA tests for independent samples. If the conditions for application are not met, a descriptive analysis based on the median and interquartile range will be conducted, along with a bivariate analysis using non-parametric tests (Kruskal-Wallis test).
The principal investigator will collect patient data from the computerized database of the University of Barcelona Dental Hospital (HOUB).
Likewise, the principal investigator will conduct the data analysis and interpret the results.
The principal investigator's intra-operator agreement (Cohen's Kappa coefficient) is 0.82.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 2013-2026
To see the differences of prevalences of all those factors affecting implants in the patients who present a success or failure of dental implants
Time frame: 2013-2026
Differences in prevalence of osteoporosis of those patients who present implant failure and success
Time frame: 2013-2026
Differences in prevalence of deficient or insufficient vitamin D levels of those patients who present implant failure and success
Time frame: 2013-2026
Differences in prevalence of recent dental failure of those patients who present implant failure and success, in which the implant was located in the position of the dental failure
Time frame: 2013-2026
Differences in prevalence of implant failure in those patients presenting an adjacent endodontically treated tooth
Time frame: 2013-2026
Showing the relationship between dental prosthesis over implants and the failure of them
University of Barcelona
Other
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