Optimal examination sites for periodontal disease evaluation: Applying the item response theory graded response model

Yoshiaki Nomura, Toshiya Morozumi, Mitsuo Fukuda, Nobuhiro Hanada, Erika Kakuta, Hiroaki Kobayashi, Masato Minabe, Toshiaki Nakamura, Yohei Nakayama, Fusanori Nishimura, Kazuyuki Noguchi, Yukihiro Numabe, Yorimasa Ogata, Atsushi Saito, Soh Sato, Satoshi Sekino, Naoyuki Sugano, Tsutomu Sugaya, Fumihiko Suzuki, Keiso TakahashiHideki Takai, Shogo Takashiba, Makoto Umeda, Hiromasa Yoshie, Atsutoshi Yoshimura, Nobuo Yoshinari, Taneaki Nakagawa

Research output: Contribution to journalArticlepeer-review

Abstract

Periodontal examination data have a complex structure. For epidemiological studies, mass screenings, and public health use, a simple index that represents the periodontal condition is necessary. Periodontal indices for partial examination of selected teeth have been developed. However, the selected teeth vary between indices, and a justification for the selection of examination teeth has not been presented. We applied a graded response model based on the item response theory to select optimal examination teeth and sites that represent periodontal conditions. Data were obtained from 254 patients who participated in a multicenter follow-up study. Baseline data were obtained from initial follow-up. Optimal examination sites were selected using item information calculated by graded response modeling. Twelve sites—maxillary 2nd premolar (palatal-medial), 1st premolar (palatal-distal), canine (palatal-medial), lateral incisor (palatal-central), central incisor (palatal-distal) and mandibular 1st premolar (lingual, medial)—were selected. Mean values for clinical attachment level, probing pocket depth, and bleeding on probing by full mouth examinations were used for objective variables. Measuring the clinical parameters of these sites can predict the results of full mouth examination. For calculating the periodontal index by partial oral examination, a justification for the selection of examination sites is essential. This study presents an evidence-based partial examination methodology and its modeling.

Original languageEnglish
Article number3754
Pages (from-to)1-17
Number of pages17
JournalJournal of Clinical Medicine
Volume9
Issue number11
DOIs
Publication statusPublished - Nov 2020

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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