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Prediction of Failure of Dental Implants

NCT04129957 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 337

Last updated 2019-10-21

No results posted yet for this study

Summary

The aim of the study is to identify predictors in patient profiles and implant characteristics and to develop and calibrate a prediction model for failure of implants. Patients' demographic characteristics, lifestyle habits, general health, dental health, and implant characteristics were regarded as potential predictors. The failure of implants and the follow-up time in days of implants were considered the outcome. Multivariate Cox proportional hazards regression analysis is used to find out the important risk factors for failure of dental implants and to develop the model for prediction of failure of dental implants at follow-up. The performance and clinical values of the model is determined.

Conditions

  • Implant Complication
  • Peri-Implantitis

Interventions

PROCEDURE

Placement of dental implants

All the included patients underwent the placement of at least one implant in either upper jaw, or lower jaw, or both.

Sponsors & Collaborators

  • Academic Centre for Dentistry in Amsterdam

    lead OTHER

Principal Investigators

  • Geert van der Heijden, Prof. dr. · Academic Centre for Dentistry Amsterdam

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-12-10
Primary Completion
2019-06-30
Completion
2019-08-15

Countries

  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04129957 on ClinicalTrials.gov