TY - JOUR
T1 - Optimal examination sites for periodontal disease evaluation
T2 - Applying the item response theory graded response model
AU - Nomura, Yoshiaki
AU - Morozumi, Toshiya
AU - Fukuda, Mitsuo
AU - Hanada, Nobuhiro
AU - Kakuta, Erika
AU - Kobayashi, Hiroaki
AU - Minabe, Masato
AU - Nakamura, Toshiaki
AU - Nakayama, Yohei
AU - Nishimura, Fusanori
AU - Noguchi, Kazuyuki
AU - Numabe, Yukihiro
AU - Ogata, Yorimasa
AU - Saito, Atsushi
AU - Sato, Soh
AU - Sekino, Satoshi
AU - Sugano, Naoyuki
AU - Sugaya, Tsutomu
AU - Suzuki, Fumihiko
AU - Takahashi, Keiso
AU - Takai, Hideki
AU - Takashiba, Shogo
AU - Umeda, Makoto
AU - Yoshie, Hiromasa
AU - Yoshimura, Atsutoshi
AU - Yoshinari, Nobuo
AU - Nakagawa, Taneaki
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - Bleeding on probing
KW - Diagnosis
KW - Epidemiological index
KW - Item response theory
KW - Oral examination
KW - Periodontitis
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U2 - 10.3390/jcm9113754
DO - 10.3390/jcm9113754
M3 - Article
AN - SCOPUS:85114283996
SN - 2077-0383
VL - 9
SP - 1
EP - 17
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 11
M1 - 3754
ER -