Are colored periodontal probes reliable to classify the gingival phenotype in terms of gingival thickness?
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Are colored periodontal probes reliable to classify the gingival phenotype in terms of gingival thickness? / Bertl, Kristina; Al-Hotheiry, Mehdi; Sun, David; Olofsson, John; Lettner, Stefan; Gotfredsen, Klaus; Stavropoulos, Andreas.
I: Journal of Periodontology, Bind 93, Nr. 3, 2022, s. 412-422.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Are colored periodontal probes reliable to classify the gingival phenotype in terms of gingival thickness?
AU - Bertl, Kristina
AU - Al-Hotheiry, Mehdi
AU - Sun, David
AU - Olofsson, John
AU - Lettner, Stefan
AU - Gotfredsen, Klaus
AU - Stavropoulos, Andreas
PY - 2022
Y1 - 2022
N2 - This cross-sectional study assessed the potential of colored periodontal probes (CPP) to classify gingival phenotype in terms of gingival thickness (GT). Methods Buccal GT in 3 anterior teeth in each of 50 patients was measured by transgingival sounding and classified by 3 different methods by 8 examiners. Specifically, the diagnostic potential of visual judgement and transparency of a standard periodontal probe (SPP) to discriminate thin and thick gingiva, and of CPP to discriminate thin, medium, thick, or very thick gingiva was assessed. Results GT ranged from 0.57-2.37mm. Using CPP resulted in a medium judgement in 87 on average, and only between 1-10 cases/examiner were judged as thick or very thick. Considering 1mm GT as relevant cut-off value, all methods showed a high positive predictive value (≥0.82) to identify thick cases, but also a high false omission rate (≥0.73) indicating that many cases classified as thin were actually thick. Further, 881mm, were not classified as thin with CPP; this was inferior to SPP, for which, however, still 641mm thick were wrongly classified. The highest, yet moderate agreement among examiners was achieved by SPP (κ = 0.427), while visual judgement and CPP showed only fair (κ = 0.211) and slight agreement (κ = 0.112), respectively. Conclusion Using CPP resulted in most of the cases in a medium judgement. It seems that CPP cannot distinctly discriminate between “thick” and “very thick” cases and fails to capture the thin high-risk cases.
AB - This cross-sectional study assessed the potential of colored periodontal probes (CPP) to classify gingival phenotype in terms of gingival thickness (GT). Methods Buccal GT in 3 anterior teeth in each of 50 patients was measured by transgingival sounding and classified by 3 different methods by 8 examiners. Specifically, the diagnostic potential of visual judgement and transparency of a standard periodontal probe (SPP) to discriminate thin and thick gingiva, and of CPP to discriminate thin, medium, thick, or very thick gingiva was assessed. Results GT ranged from 0.57-2.37mm. Using CPP resulted in a medium judgement in 87 on average, and only between 1-10 cases/examiner were judged as thick or very thick. Considering 1mm GT as relevant cut-off value, all methods showed a high positive predictive value (≥0.82) to identify thick cases, but also a high false omission rate (≥0.73) indicating that many cases classified as thin were actually thick. Further, 881mm, were not classified as thin with CPP; this was inferior to SPP, for which, however, still 641mm thick were wrongly classified. The highest, yet moderate agreement among examiners was achieved by SPP (κ = 0.427), while visual judgement and CPP showed only fair (κ = 0.211) and slight agreement (κ = 0.112), respectively. Conclusion Using CPP resulted in most of the cases in a medium judgement. It seems that CPP cannot distinctly discriminate between “thick” and “very thick” cases and fails to capture the thin high-risk cases.
KW - Diagnosis
KW - gingiva
KW - phenotype
KW - reproducibility of results
KW - sensitivity and specificity
U2 - 10.1002/JPER.21-0311
DO - 10.1002/JPER.21-0311
M3 - Journal article
C2 - 34309865
VL - 93
SP - 412
EP - 422
JO - Journal of Periodontology
JF - Journal of Periodontology
SN - 0022-3492
IS - 3
ER -
ID: 276231585