Background: In questionnaire surveys, questions about self-reported number of teeth (SRNT) are often used as a measure oral health. This study investigated the validity of SRNT in older Japanese people.
Methods: In total, 4984 75- and 80-year-old patients who underwent dental examinations were enrolled. A self-administered questionnaire that asked about the number of teeth was used in the analysis. The percentage agreement and kappa value were calculated for the agreement between SRNT and observed numbers of teeth. To identify factors that affect the reliability of SRNT, a logistic regression analysis was performed using correctness of SRNT as the dependent variable.
Results: Among the 3950 participants who responded as to whether they had ≥ 20 teeth, the degree of agreement was 92.9% (kappa value 0.856, p < 0.001) in an objective evaluation. Of the 2621 participants who reported their numbers of teeth, the SRNT and observed number of teeth matched in 57.5% (kappa value 0.559; p < 0.001). Observed number of teeth and annual dental checkup had a significant effect on the accuracy of SRNT. Multivariate logistic regression analysis, with the agreement between SRNT and the observed number of teeth (i.e. whether the number of teeth exceeded 20) as the dependent variable, showed that the observed number of teeth, use of interdental cleaning tools, and annual dental checkup were significantly associated with the agreement between SRNT and the actual number of teeth. In multivariate analysis with tooth number agreement (± 1 tooth) as the dependent variable, the observed number of teeth and use of interdental cleaning tools were significantly associated with the agreement between SRNT and the observed number of teeth.
Conclusion: Although SRNT did not perfectly match the observed numbers of teeth, the results of this study imply that the SRNT of older people is reliable and useful in epidemiological studies.
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http://dx.doi.org/10.1186/s12877-024-05512-1 | DOI Listing |
Lasers Med Sci
January 2025
Universidade Federal de Pelotas, Pelotas, Brazil.
This systematic review aimed to compare postoperative pain in endodontic treatments using PIPS Er: YAG laser-activated irrigation (LAI) versus conventional needle irrigation. An electronic search was conducted to identify randomized clinical trials (RCT) investigating postoperative pain in patients who underwent root canal treatments in permanent teeth using PIPS Er: YAG laser-activated irrigation or conventional needle irrigation. Two reviewers performed study selection, data extraction, risk of bias assessment (RoB 2.
View Article and Find Full Text PDFZhonghua Kou Qiang Yi Xue Za Zhi
January 2025
Department of Prosthodontics, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Xi'an 710032, China.
To investigate the bone augmentation effects of domestic decellularized porcine small intestinal submucosa (PSIS) absorbable biomembrane and domestic bovine pericardium tissue (BPT) absorbable biomembrane in guided bone regeneration (GBR) for single-tooth implantation in diabetic patients. A prospective case-control study was conducted with 48 diabetic patients who received single-tooth implant restoration at the Department of Prosthodontics, School of Stomatology. The Fourth Military Medical University, between January 2023 and January 2024.
View Article and Find Full Text PDFInt Orthod
January 2025
Department of Orthodontics, University of Damascus Dental School, Damascus, Syria.
Objective: This study aimed to investigate the most effective methods in controlling pain during debonding procedures.
Material And Methods: Electronic searches in published and unpublished studies were performed. Restricted to the English language and publication date up to 23/3/2024, the searches in published literature covered the following databases: MEDLINE, PubMed, EMBASE, Tripe, Web of Science, Scopus and PubMed Central.
Biomol Biomed
January 2025
Department of Orthognathic Surgery and Maxillofacial Trauma, The Third Affiliated Hospital of Air Force Medical University, Xi'an, China.
Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in patients with partial dentition defects within two years of treatment. Additionally, the study sought to develop an early risk prediction model for implant failure.
View Article and Find Full Text PDFClin Implant Dent Relat Res
February 2025
SEMRUK Technology Inc., Cumhuriyet Teknokent, Sivas, Turkiye.
Objectives: This study aimed to develop an artificial intelligence (AI)-based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number implants, offering improvements in clinical decision support for dental implantology.
Materials And Methods: A retrospective dataset of 32 585 panoramic radiographs, collected from patients at Sivas Cumhuriyet University between 2014 and 2024, was utilized.
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