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Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study

Epidemiological studies have shown strong evidence that periodontal disease does not affect all subjects in the same manner. OBJECTIVE: There are subjects and sites with higher risk for disease progression. This study tested parameters to select “a priori” sites and subjects potentially at risk. MAT...

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Autores principales: Harikishan, G., Triveni, V. S. S., Sai Sujay, G. S. Naga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606673/
https://www.ncbi.nlm.nih.gov/pubmed/26538931
http://dx.doi.org/10.4103/0975-7406.163573
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author Harikishan, G.
Triveni, V. S. S.
Sai Sujay, G. S. Naga
author_facet Harikishan, G.
Triveni, V. S. S.
Sai Sujay, G. S. Naga
author_sort Harikishan, G.
collection PubMed
description Epidemiological studies have shown strong evidence that periodontal disease does not affect all subjects in the same manner. OBJECTIVE: There are subjects and sites with higher risk for disease progression. This study tested parameters to select “a priori” sites and subjects potentially at risk. MATERIALS AND METHODS: The data from periodontal clinical examinations of 2273 subjects was used. The clinical loss of attachment was measured in 6 sites per tooth. Using computer software, the patients were distributed into 14 age groups, with intervals of 5 years, from 11 years to greater than 75 years of age. The measure of each site was compared with the average and the median values of the subject age group, with the results indicating site comparative severity (SCS). Three global parameters were calculated: parameter 1 (PI) - percentage of sites with clinical attachment loss > 4 mm; parameter 2 (P2) - percentage of sites with clinical attachment loss j> 7 mm; parameter 3 (P3) - percentage of sites with clinical attachment loss surpassing the median value for the age group by 100% or more. RESULTS: There were 1466 (65%) females and 807 (35%) males. Most subjects had PI, P2 and P3 values less than 30%. Parameter 3 allowed a division of the sample similar to that of Parameters 1 and 2, with the advantage of analyzing the subject in relation to his/her age group. It was suggested that the methodology of SCS is useful for selecting a population with a high disease prevalence, and that cut-off lines between 10% and 20% would be appropriate for using parameter.
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spelling pubmed-46066732015-11-04 Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study Harikishan, G. Triveni, V. S. S. Sai Sujay, G. S. Naga J Pharm Bioallied Sci Dental Science - Original Article Epidemiological studies have shown strong evidence that periodontal disease does not affect all subjects in the same manner. OBJECTIVE: There are subjects and sites with higher risk for disease progression. This study tested parameters to select “a priori” sites and subjects potentially at risk. MATERIALS AND METHODS: The data from periodontal clinical examinations of 2273 subjects was used. The clinical loss of attachment was measured in 6 sites per tooth. Using computer software, the patients were distributed into 14 age groups, with intervals of 5 years, from 11 years to greater than 75 years of age. The measure of each site was compared with the average and the median values of the subject age group, with the results indicating site comparative severity (SCS). Three global parameters were calculated: parameter 1 (PI) - percentage of sites with clinical attachment loss > 4 mm; parameter 2 (P2) - percentage of sites with clinical attachment loss j> 7 mm; parameter 3 (P3) - percentage of sites with clinical attachment loss surpassing the median value for the age group by 100% or more. RESULTS: There were 1466 (65%) females and 807 (35%) males. Most subjects had PI, P2 and P3 values less than 30%. Parameter 3 allowed a division of the sample similar to that of Parameters 1 and 2, with the advantage of analyzing the subject in relation to his/her age group. It was suggested that the methodology of SCS is useful for selecting a population with a high disease prevalence, and that cut-off lines between 10% and 20% would be appropriate for using parameter. Medknow Publications & Media Pvt Ltd 2015-08 /pmc/articles/PMC4606673/ /pubmed/26538931 http://dx.doi.org/10.4103/0975-7406.163573 Text en Copyright: © Journal of Pharmacy and Bioallied Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms
spellingShingle Dental Science - Original Article
Harikishan, G.
Triveni, V. S. S.
Sai Sujay, G. S. Naga
Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title_full Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title_fullStr Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title_full_unstemmed Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title_short Evaluation of clinical parameters to select high prevalence populations for periodontal disease: A cross-sectional study
title_sort evaluation of clinical parameters to select high prevalence populations for periodontal disease: a cross-sectional study
topic Dental Science - Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606673/
https://www.ncbi.nlm.nih.gov/pubmed/26538931
http://dx.doi.org/10.4103/0975-7406.163573
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