An Algorithmic Approach to Evaluation of an Ailing Implant

Compend Contin Educ Dent. 2020 Sep;41(8):e1-e9.

Abstract

With the incidence of failed and ailing dental implants increasing, the authors conducted research to evaluate and characterize all known criteria used in the assessment of implant health in the clinical setting. A review of articles found in electronic databases was performed. Once all parameters for implant assessment as supported by current literature were selected, implant assessment documents were created: a data acquisition form and a quantitative comprehensive evaluation. These documents provide the clinician an algorithm that yields a prognosis of survival for each implant. Diagnostic criteria were organized to offer a comprehensive assessment of risk factors related to implant health. Data acquisition prior to establishing the prognosis is necessary in accordance with the staging system developed. Parameters for diagnosis and staging include a thorough medical/social history of the patient, implant history, and clinical evaluation. The authors concluded that the establishment of parameters for comprehensive implant evaluation in the clinical setting is feasible. This assessment process enables an effective clinical approach to evaluate and treat ailing implants while facilitating a clinical diagnostic algorithm.

Publication types

  • Review

MeSH terms

  • Dental Implants*
  • Dental Restoration Failure
  • Humans
  • Prognosis

Substances

  • Dental Implants