Literature DB >> 19107263

Impact of clinical experience on the accuracy of probing depth measurements.

Rodrigo Costa Seabra1, Fernando Oliveira Costa, José Eustáquio Costa, Thomas Van Dyke, Rodrigo Villamarim Soares.   

Abstract

OBJECTIVE: To evaluate the influence of examiner experience on the variability of periodontal probing depth measurements obtained by conventional manual probing. METHOD AND MATERIALS: Thirty subjects with a diagnosis of chronic periodontitis were evaluated by an experienced examiner using an electronic probe and randomly assigned to 3 groups. Examiners with different levels of experience (undergraduate students, postgraduate students, and associate professors) evaluated each group with a manual probe. Electronic and conventional probing were repeated 45 days after cause-related periodontal therapy.
RESULTS: A total of 8,127 periodontal sites were evaluated at the baseline examination and reassessment. Agreement between methods was satisfactory at the baseline examination (kappa = 0.45; P < .001) and reassessment (kappa = 0.42; P < .001). The best agreement between electronic and manual probing at the baseline examination was obtained by the postgraduate students (kappa = 0.66) and at reassessment by the associate professors (kappa = 0.60). Undergraduate students obtained the lowest agreement values in both examinations (kappa = 0.42 and 0.11, respectively).
CONCLUSION: Examiner experience has direct influence on the accuracy of measurements. Dental schools must evaluate if the methodology employed to teach the use of conventional manual probing is effectively qualifying their students for dental practice.

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Year:  2008        PMID: 19107263

Source DB:  PubMed          Journal:  Quintessence Int        ISSN: 0033-6572            Impact factor:   1.677


  3 in total

1.  Risk assessment for clinical attachment loss of periodontal tissue in Korean adults.

Authors:  Gun-Bak Rheu; Suk Ji; Jae-Jun Ryu; Jung-Bok Lee; Chol Shin; Jeong Yol Lee; Jung-Bo Huh; Sang-Wan Shin
Journal:  J Adv Prosthodont       Date:  2011-03-31       Impact factor: 1.904

2.  Application of the inverted classroom model in the teaching module "new classification of periodontal and peri-implant diseases and conditions" during the COVID-19 pandemic.

Authors:  Marius Crome; Knut Adam; Marco Flohr; Alexander Rahman; Ingmar Staufenbiel
Journal:  GMS J Med Educ       Date:  2021-06-15

3.  A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks.

Authors:  Dima M Alalharith; Hajar M Alharthi; Wejdan M Alghamdi; Yasmine M Alsenbel; Nida Aslam; Irfan Ullah Khan; Suliman Y Shahin; Simona Dianišková; Muhanad S Alhareky; Kasumi K Barouch
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  3 in total

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