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ZENODO
Article . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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Study Model Analysis of Partial Edentulism Using Kennedy Classification in Patients of a Private Dental College

Authors: Tamij, Nusrat; Ahmed, Anam; Zaki, Mohammed Mahbub; Awal, Md. Abdul; Mannan, Huda;

Study Model Analysis of Partial Edentulism Using Kennedy Classification in Patients of a Private Dental College

Abstract

Abstarct Background: Partial edentulism is the loss of some natural teeth and presents quite a clinical challenge to prosthodontics today. The distribution pattern and characteristics of partial edentulism can determine the appropriate treatment process and prosthetic rehabilitation. In this study, the aimed to describe the pattern, distribution and characteristics of partial edentulism in patients, using Kennedy classification and the condition of abutment tooth for this study.Methods: This descriptive cross-sectional study conducted on 150 partially edentulous patients visiting a dental college at Dhaka over a period of 3 years (2018-2020). Impressions were recorded with alginate, poured with plaster and analyzed. The standardized forms of the secondary records sheets on demographic data, the history of edentulism, tooth charting, and Kennedy classification were used for all the findings. The analysis of data was carried out using SPSS Version 25 for the descriptive statistics like frequency distributions, percentages, means and standard deviations.Results: The study included 82 males (54.7%) and 68 females (45.3%) having a mean age of 52.3 ± 11.4 years. The average number of lost teeth was 5.8±(3.2) (range: 1-14) and the average duration of edentulousness was 8.2±(6.1) years. Most common was Kennedy Class II 36.0%, followed by Class I 32.0%, Class III 25.3% and Class IV 6.7%. The distribution of involvement was greater for mandibular arches (57.3%) than for maxillary ones, with 79.2% of the total Class I cases being of mandibular Class I. The most common cause of tooth loss dental caries (42.0%) and periodontal disease (38.0%) causes together 80.0%. About 38.7% of patients had an abutment without restoration that was sound in the condition while most 61.3% had restored abutment teeth. Sample analysis revealed 43.3% of the sample had minimal restoration-class I or II restoration, whereas moderately to extensively restorations including endodontically treated teeth was 18.0%.Conclusion: Kennedy Class II was the most frequent pattern of partial edentulism, with distal-extension mandibular cases predominating. The main reasons for tooth loss were caries and periodontal disease, and most abutments were previously restored. The study’s findings indicate that a comprehensive evaluation and careful prosthodontic planning may optimize functional outcomes and oral health-related quality of life. Download Full Article.PDF DOI: https://doi.org/10.5281/zenodo.17743705 Bangladesh Journal of Dental Research & Education official publication of Bangladesh Academy of Dentistry International (BADI)® ISSN (Online): 2308-9733 ISSN (Print): 2225-9015 ZENODO@BJDRE,BADI® OpenAIRE | EXPLOR@BJDRE,BADI® ORCiD@BJDRE,BADI® 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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