AI Article Synopsis

  • This study aimed to assess how reliable and accurate different groups (students, general dentists, and implant experts) are in classifying peri-implant health and diseases according to a specific classification system from 2018.
  • The evaluation involved examining 25 dental implant cases using clinical and radiographic documentation, with reliability measured using the Fleiss kappa statistic and accuracy determined by comparing raters to a gold standard.
  • Results showed moderate reliability and accuracy, with expertise positively influencing outcomes; however, complications arose without baseline readings, indicating some challenges in classifying certain cases.

Article Abstract

Background: The purpose of this study was to evaluate the reliability and accuracy in the assignment of the case definitions of peri-implant health and diseases according to the 2018 Classification of Periodontal and Peri-implant Diseases and Conditions.

Methods: Ten undergraduate students, 10 general dentists, and 10 experts in implant dentistry participated in this study. All examiners were provided with clinical and radiographic documentation of 25 dental implants. Eleven out the 25 cases were also accompanied by baseline readings. Examiners were asked to define all cases using the 2018 classification case definitions. Reliability among examiners was evaluated using the Fleiss kappa statistic. Accuracy was estimated using percentage of complete agreement and quadratic weighted kappa for pairwise comparisons between each rater and a gold standard diagnosis.

Results: The Fleiss kappa was 0.50 (95% CI: 0.48 to 0.51) and the mean quadratic weighted kappa value was 0.544. Complete agreement with the gold standard diagnosis was achieved in 59.8% of the cases. Expertise in implantology affected accuracy positively (p < 0.001) while the absence of baseline readings affected it negatively (p < 0.001).

Conclusion: Both reliability and accuracy in assigning case definitions to dental implants according to the 2018 classification were mostly moderate. Some difficulties arose in the presence of specific challenging scenarios.

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Source
http://dx.doi.org/10.1002/JPER.23-0129DOI Listing

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