Validity of Screening Methods for Periodontitis Using Salivary Hemoglobin Level and Self‐Report Questionnaires in People with Disabilities
Background: The aim of this study is to evaluate the validity of screening methods in predicting periodontitis in people with disabilities using the objective salivary hemoglobin level, a subjective self‐report questionnaire, and a combined model of the two methods with demographic characteristics....
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Veröffentlicht in: | Journal of periodontology (1970) 2015-04, Vol.86 (4), p.536-545 |
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container_title | Journal of periodontology (1970) |
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creator | Nam, Sun‐Hei Jung, Hoi‐In Kang, Si‐Mook Inaba, Daisuke Kwon, Ho‐Keun Kim, Baek‐Il |
description | Background: The aim of this study is to evaluate the validity of screening methods in predicting periodontitis in people with disabilities using the objective salivary hemoglobin level, a subjective self‐report questionnaire, and a combined model of the two methods with demographic characteristics.
Methods: The participants were 195 patients with disabilities aged >18 years who were examined using the community periodontal index (CPI), salivary hemoglobin level, and answers to 10 self‐report questions (n = 192). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the validity of the methods and the combined model in predicting the prevalence of ≥CPI 3 (probing depth [PD] ≥4 mm) or CPI 4 (PD ≥6 mm).
Results: Overall, 75.9% of the study group (148 of 195) were diagnosed with ≥CPI 3, and 38.5% of the study group (75 of 195) were diagnosed with CPI 4. The areas under the ROC curve (AUCs) of the salivary hemoglobin level were 0.578 (sensitivity of 41% and specificity of 77%) and 0.662 (sensitivity of 53% and specificity of 75%) for predicting the prevalence of ≥CPI 3 and CPI 4, respectively. Multivariable modeling incorporating four different questions for predicting ≥CPI 3 or CPI 4 indicated higher AUCs of 0.710 and 0.732, respectively, yielding higher sensitivity (55% for ≥CPI 3 and 69% for CPI 4) than that of salivary hemoglobin level. The most useful prediction models for ≥CPI 3 or CPI 4 were combined models, which yielded AUCs of 0.773 and 0.807, respectively, with sensitivity values of 70% and specificity values >75%.
Conclusion: The salivary hemoglobin level, self‐report questionnaire, and the combined method demonstrated screening potential that could predict the population prevalence of ≥CPI 3 or CPI 4. |
doi_str_mv | 10.1902/jop.2015.140457 |
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Methods: The participants were 195 patients with disabilities aged >18 years who were examined using the community periodontal index (CPI), salivary hemoglobin level, and answers to 10 self‐report questions (n = 192). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the validity of the methods and the combined model in predicting the prevalence of ≥CPI 3 (probing depth [PD] ≥4 mm) or CPI 4 (PD ≥6 mm).
Results: Overall, 75.9% of the study group (148 of 195) were diagnosed with ≥CPI 3, and 38.5% of the study group (75 of 195) were diagnosed with CPI 4. The areas under the ROC curve (AUCs) of the salivary hemoglobin level were 0.578 (sensitivity of 41% and specificity of 77%) and 0.662 (sensitivity of 53% and specificity of 75%) for predicting the prevalence of ≥CPI 3 and CPI 4, respectively. Multivariable modeling incorporating four different questions for predicting ≥CPI 3 or CPI 4 indicated higher AUCs of 0.710 and 0.732, respectively, yielding higher sensitivity (55% for ≥CPI 3 and 69% for CPI 4) than that of salivary hemoglobin level. The most useful prediction models for ≥CPI 3 or CPI 4 were combined models, which yielded AUCs of 0.773 and 0.807, respectively, with sensitivity values of 70% and specificity values >75%.
Conclusion: The salivary hemoglobin level, self‐report questionnaire, and the combined method demonstrated screening potential that could predict the population prevalence of ≥CPI 3 or CPI 4.</description><identifier>ISSN: 0022-3492</identifier><identifier>EISSN: 1943-3670</identifier><identifier>DOI: 10.1902/jop.2015.140457</identifier><identifier>PMID: 25569125</identifier><language>eng</language><publisher>United States: American Academy of Periodontology</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Alveolar Bone Loss - diagnosis ; Area Under Curve ; Attitude to Health ; Dentistry ; Disabled Persons ; Female ; hemoglobins ; Hemoglobins - analysis ; Humans ; Male ; Mass Screening - statistics & numerical data ; Middle Aged ; Periodontal Index ; Periodontal Pocket - diagnosis ; periodontitis ; Periodontitis - diagnosis ; Predictive Value of Tests ; Reproducibility of Results ; ROC Curve ; Saliva - chemistry ; Self Report ; Sensitivity and Specificity ; Smoking ; Surveys and Questionnaires ; Tooth Mobility - diagnosis ; Young Adult</subject><ispartof>Journal of periodontology (1970), 2015-04, Vol.86 (4), p.536-545</ispartof><rights>2015 American Academy of Periodontology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3436-e744a6c5a7344f8dec79e5c63171ecb019dd37c9b9ee059d7b34e3027b81f5e3</citedby><cites>FETCH-LOGICAL-c3436-e744a6c5a7344f8dec79e5c63171ecb019dd37c9b9ee059d7b34e3027b81f5e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1902%2Fjop.2015.140457$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1902%2Fjop.2015.140457$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25569125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nam, Sun‐Hei</creatorcontrib><creatorcontrib>Jung, Hoi‐In</creatorcontrib><creatorcontrib>Kang, Si‐Mook</creatorcontrib><creatorcontrib>Inaba, Daisuke</creatorcontrib><creatorcontrib>Kwon, Ho‐Keun</creatorcontrib><creatorcontrib>Kim, Baek‐Il</creatorcontrib><title>Validity of Screening Methods for Periodontitis Using Salivary Hemoglobin Level and Self‐Report Questionnaires in People with Disabilities</title><title>Journal of periodontology (1970)</title><addtitle>J Periodontol</addtitle><description>Background: The aim of this study is to evaluate the validity of screening methods in predicting periodontitis in people with disabilities using the objective salivary hemoglobin level, a subjective self‐report questionnaire, and a combined model of the two methods with demographic characteristics.
Methods: The participants were 195 patients with disabilities aged >18 years who were examined using the community periodontal index (CPI), salivary hemoglobin level, and answers to 10 self‐report questions (n = 192). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the validity of the methods and the combined model in predicting the prevalence of ≥CPI 3 (probing depth [PD] ≥4 mm) or CPI 4 (PD ≥6 mm).
Results: Overall, 75.9% of the study group (148 of 195) were diagnosed with ≥CPI 3, and 38.5% of the study group (75 of 195) were diagnosed with CPI 4. The areas under the ROC curve (AUCs) of the salivary hemoglobin level were 0.578 (sensitivity of 41% and specificity of 77%) and 0.662 (sensitivity of 53% and specificity of 75%) for predicting the prevalence of ≥CPI 3 and CPI 4, respectively. Multivariable modeling incorporating four different questions for predicting ≥CPI 3 or CPI 4 indicated higher AUCs of 0.710 and 0.732, respectively, yielding higher sensitivity (55% for ≥CPI 3 and 69% for CPI 4) than that of salivary hemoglobin level. The most useful prediction models for ≥CPI 3 or CPI 4 were combined models, which yielded AUCs of 0.773 and 0.807, respectively, with sensitivity values of 70% and specificity values >75%.
Conclusion: The salivary hemoglobin level, self‐report questionnaire, and the combined method demonstrated screening potential that could predict the population prevalence of ≥CPI 3 or CPI 4.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alveolar Bone Loss - diagnosis</subject><subject>Area Under Curve</subject><subject>Attitude to Health</subject><subject>Dentistry</subject><subject>Disabled Persons</subject><subject>Female</subject><subject>hemoglobins</subject><subject>Hemoglobins - analysis</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Middle Aged</subject><subject>Periodontal Index</subject><subject>Periodontal Pocket - diagnosis</subject><subject>periodontitis</subject><subject>Periodontitis - diagnosis</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Saliva - chemistry</subject><subject>Self Report</subject><subject>Sensitivity and Specificity</subject><subject>Smoking</subject><subject>Surveys and Questionnaires</subject><subject>Tooth Mobility - diagnosis</subject><subject>Young Adult</subject><issn>0022-3492</issn><issn>1943-3670</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkbFOHDEQhi2UKBwkNV3kMs0e9tpe4xIBgUSHcuGA1vLas2DkW2_sPdB1eYAUecY8CT4doaUajeb7f83Mj9ABJVOqSH34EIdpTaiYUk64kDtoQhVnFWskeYcmhNR1xbiqd9Fezg-lpZyRD2i3FqJRtBYT9OfWBO_8uMaxwwubAHrf3-FLGO-jy7iLCc8h-ehiP_rRZ3yTN_NFUT2atMYXsIx3Iba-xzN4hIBN7_ACQvfv998rGGIa8c8V5NHHvjc-QcaFnEMcAuAnP97jU59N60PxhvwRve9MyPDppe6j669n1ycX1ezH-beT41llGWdNBZJz01hhJOO8O3JgpQJhG0YlBdsSqpxj0qpWARChnGwZB0Zq2R7RTgDbR1-2tkOKvzbL6aXPFkIwPcRV1rRpFOeKEFrQwy1qU8w5QaeH5JflcE2J3iSgSwJ6k4DeJlAUn1_MV-0S3Cv__-UFEFvgyQdYv-Wnv8_ProhgDXsGbVOVvQ</recordid><startdate>201504</startdate><enddate>201504</enddate><creator>Nam, Sun‐Hei</creator><creator>Jung, Hoi‐In</creator><creator>Kang, Si‐Mook</creator><creator>Inaba, Daisuke</creator><creator>Kwon, Ho‐Keun</creator><creator>Kim, Baek‐Il</creator><general>American Academy of Periodontology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201504</creationdate><title>Validity of Screening Methods for Periodontitis Using Salivary Hemoglobin Level and Self‐Report Questionnaires in People with Disabilities</title><author>Nam, Sun‐Hei ; Jung, Hoi‐In ; Kang, Si‐Mook ; Inaba, Daisuke ; Kwon, Ho‐Keun ; Kim, Baek‐Il</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3436-e744a6c5a7344f8dec79e5c63171ecb019dd37c9b9ee059d7b34e3027b81f5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alveolar Bone Loss - diagnosis</topic><topic>Area Under Curve</topic><topic>Attitude to Health</topic><topic>Dentistry</topic><topic>Disabled Persons</topic><topic>Female</topic><topic>hemoglobins</topic><topic>Hemoglobins - analysis</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Middle Aged</topic><topic>Periodontal Index</topic><topic>Periodontal Pocket - diagnosis</topic><topic>periodontitis</topic><topic>Periodontitis - diagnosis</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Saliva - chemistry</topic><topic>Self Report</topic><topic>Sensitivity and Specificity</topic><topic>Smoking</topic><topic>Surveys and Questionnaires</topic><topic>Tooth Mobility - diagnosis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nam, Sun‐Hei</creatorcontrib><creatorcontrib>Jung, Hoi‐In</creatorcontrib><creatorcontrib>Kang, Si‐Mook</creatorcontrib><creatorcontrib>Inaba, Daisuke</creatorcontrib><creatorcontrib>Kwon, Ho‐Keun</creatorcontrib><creatorcontrib>Kim, Baek‐Il</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of periodontology (1970)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nam, Sun‐Hei</au><au>Jung, Hoi‐In</au><au>Kang, Si‐Mook</au><au>Inaba, Daisuke</au><au>Kwon, Ho‐Keun</au><au>Kim, Baek‐Il</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validity of Screening Methods for Periodontitis Using Salivary Hemoglobin Level and Self‐Report Questionnaires in People with Disabilities</atitle><jtitle>Journal of periodontology (1970)</jtitle><addtitle>J Periodontol</addtitle><date>2015-04</date><risdate>2015</risdate><volume>86</volume><issue>4</issue><spage>536</spage><epage>545</epage><pages>536-545</pages><issn>0022-3492</issn><eissn>1943-3670</eissn><abstract>Background: The aim of this study is to evaluate the validity of screening methods in predicting periodontitis in people with disabilities using the objective salivary hemoglobin level, a subjective self‐report questionnaire, and a combined model of the two methods with demographic characteristics.
Methods: The participants were 195 patients with disabilities aged >18 years who were examined using the community periodontal index (CPI), salivary hemoglobin level, and answers to 10 self‐report questions (n = 192). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the validity of the methods and the combined model in predicting the prevalence of ≥CPI 3 (probing depth [PD] ≥4 mm) or CPI 4 (PD ≥6 mm).
Results: Overall, 75.9% of the study group (148 of 195) were diagnosed with ≥CPI 3, and 38.5% of the study group (75 of 195) were diagnosed with CPI 4. The areas under the ROC curve (AUCs) of the salivary hemoglobin level were 0.578 (sensitivity of 41% and specificity of 77%) and 0.662 (sensitivity of 53% and specificity of 75%) for predicting the prevalence of ≥CPI 3 and CPI 4, respectively. Multivariable modeling incorporating four different questions for predicting ≥CPI 3 or CPI 4 indicated higher AUCs of 0.710 and 0.732, respectively, yielding higher sensitivity (55% for ≥CPI 3 and 69% for CPI 4) than that of salivary hemoglobin level. The most useful prediction models for ≥CPI 3 or CPI 4 were combined models, which yielded AUCs of 0.773 and 0.807, respectively, with sensitivity values of 70% and specificity values >75%.
Conclusion: The salivary hemoglobin level, self‐report questionnaire, and the combined method demonstrated screening potential that could predict the population prevalence of ≥CPI 3 or CPI 4.</abstract><cop>United States</cop><pub>American Academy of Periodontology</pub><pmid>25569125</pmid><doi>10.1902/jop.2015.140457</doi><tpages>10</tpages></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Alveolar Bone Loss - diagnosis Area Under Curve Attitude to Health Dentistry Disabled Persons Female hemoglobins Hemoglobins - analysis Humans Male Mass Screening - statistics & numerical data Middle Aged Periodontal Index Periodontal Pocket - diagnosis periodontitis Periodontitis - diagnosis Predictive Value of Tests Reproducibility of Results ROC Curve Saliva - chemistry Self Report Sensitivity and Specificity Smoking Surveys and Questionnaires Tooth Mobility - diagnosis Young Adult |
title | Validity of Screening Methods for Periodontitis Using Salivary Hemoglobin Level and Self‐Report Questionnaires in People with Disabilities |
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