Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study

In this study, we followed 87 patients with 146 implants over time to test how well different tools can predict implant health and survival. We tested three tools, IDRA for predicting peri-implantitis, the KC system, and a new tool based on progressive bone loss for predicting implant survival. After 2 years with the implant crowns in place, we checked for cases of peri-implantitis. At the final follow-up (up to 8 years), the implant survival was assessed. We found that IDRA was not effective in predicting which implants developed peri-implantitis, even in high- and moderate-risk implants. In contrast, the KC tool was much more accurate, predicting implant survival in about 80% of cases. The PBL tool was also good in predicting implant survival, but slightly less accurate than the KC tool.

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Publication Details

Journal
Journal of Periodontology
Published
2025-12-26
DOI
https://doi.org/10.1002/jper.70047
Citations
1
Primary Topic
Dental Implant Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
1.79
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article

Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study

Hom‐Lay Wang, Muhammad H. A. Saleh, Shahad Alhazmi, Zoltán Baráth et al.
1 citations
Journal of Periodontology
Dental Implant Techniques and Outcomes
1.79
article

Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study

Hom‐Lay Wang, Muhammad H. A. Saleh, Shahad Alhazmi, Zoltán Baráth, István Urbán, Fariba Esperouz, Era Kakar, Hamzeh Almashni, Jonathan Misch, Giuseppe Troiano
article en
1 citations

Abstract

In this study, we followed 87 patients with 146 implants over time to test how well different tools can predict implant health and survival. We tested three tools, IDRA for predicting peri-implantitis, the KC system, and a new tool based on progressive bone loss for predicting implant survival. After 2 years with the implant crowns in place, we checked for cases of peri-implantitis. At the final follow-up (up to 8 years), the implant survival was assessed. We found that IDRA was not effective in predicting which implants developed peri-implantitis, even in high- and moderate-risk implants. In contrast, the KC tool was much more accurate, predicting implant survival in about 80% of cases. The PBL tool was also good in predicting implant survival, but slightly less accurate than the KC tool.

Journal of Periodontology
University of Foggia (IT), University of Szeged (HU), Loma Linda University (US), University of Michigan (US), LUM Jean Monnet University (IT)
Openalex Percentile: Top 11%
Dental Implant Techniques and Outcomes
1.79
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Predicting peri‐implantitis incidence and implant failure via risk‐assessment and prognostication tools: A validation study — Hom‐Lay Wang, Muhammad H. A. Saleh, et al. · Journal of Periodontology (2025) | TGRS Research Map | TGRS