Salivary flow rates among women diagnosed with benign and malignant tumors.
Identifieur interne : 000231 ( Main/Exploration ); précédent : 000230; suivant : 000232Salivary flow rates among women diagnosed with benign and malignant tumors.
Auteurs : Joel J. Nape As [États-Unis] ; Leslie Miles ; Cynthia Guajardo-Streckfus ; Charles F. StreckfusSource :
- Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry [ 1754-4505 ]
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse de variance (MeSH), Antinéoplasiques (effets indésirables), Débit sécrétoire (MeSH), Enquêtes et questionnaires (MeSH), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Loi du khi-deux (MeSH), Modèles logistiques (MeSH), Salive (métabolisme), Statistique non paramétrique (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Tumeurs de l'appareil génital féminin (anatomopathologie), Tumeurs de l'appareil génital féminin (complications), Tumeurs du sein (anatomopathologie), Tumeurs du sein (complications), Xérostomie (étiologie), Études cas-témoins (MeSH), Études transversales (MeSH).
- MESH :
- anatomopathologie : Tumeurs de l'appareil génital féminin, Tumeurs du sein.
- effets indésirables : Antinéoplasiques, Tumeurs de l'appareil génital féminin, Tumeurs du sein.
- métabolisme : Salive.
- étiologie : Xérostomie.
- Adulte, Adulte d'âge moyen, Analyse de variance, Débit sécrétoire, Enquêtes et questionnaires, Femelle, Humains, Jeune adulte, Loi du khi-deux, Modèles logistiques, Statistique non paramétrique, Sujet âgé, Sujet âgé de 80 ans ou plus, Études cas-témoins, Études transversales.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Analysis of Variance (MeSH), Antineoplastic Agents (adverse effects), Breast Neoplasms (complications), Breast Neoplasms (pathology), Case-Control Studies (MeSH), Chi-Square Distribution (MeSH), Cross-Sectional Studies (MeSH), Female (MeSH), Genital Neoplasms, Female (complications), Genital Neoplasms, Female (pathology), Humans (MeSH), Logistic Models (MeSH), Middle Aged (MeSH), Saliva (metabolism), Secretory Rate (MeSH), Statistics, Nonparametric (MeSH), Surveys and Questionnaires (MeSH), Xerostomia (etiology), Young Adult (MeSH).
- MESH :
- chemical , adverse effects : Antineoplastic Agents.
- complications : Breast Neoplasms, Genital Neoplasms, Female.
- etiology : Xerostomia.
- metabolism : Saliva.
- pathology : Breast Neoplasms, Genital Neoplasms, Female.
- Adult, Aged, Aged, 80 and over, Analysis of Variance, Case-Control Studies, Chi-Square Distribution, Cross-Sectional Studies, Female, Humans, Logistic Models, Middle Aged, Secretory Rate, Statistics, Nonparametric, Surveys and Questionnaires, Young Adult.
Abstract
The purpose of this study was to compare salivary flow rates (SWS) among patients diagnosed with benign and varying malignant solid tumors with the comparison group, prior to the initiation of any treatment. An evaluation of the results found that mean baseline SWS flow rates were higher for healthy patients (1.55 ml/min) when compared to patients diagnosed with benign tumors (1.13 ml/min), breast cancer (1.09 ml/min), and reproductive carcinomas (0.94 ml/min). The overall model (F = 7.76; p < .001) and the Dunnett's post hoc analyses were statistically significant at the p < .001 level. Additionally, medications, race, and season of the year had significant effects on mean SWS flow rates. The results suggest that salivary secretion is lower among both benign and malignant tumor subjects prior to the initiation of treatment. Salivary evaluations of subjects prior to treatment may be useful in identifying individuals at risk for oral complications during chemotherapy.
DOI: 10.1111/scd.12017
PubMed: 23600980
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Streckfus</name></author></analytic><series><title level="j">Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry</title><idno type="eISSN">1754-4505</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Analysis of Variance (MeSH)</term><term>Antineoplastic Agents (adverse effects)</term><term>Breast Neoplasms (complications)</term><term>Breast Neoplasms (pathology)</term><term>Case-Control Studies (MeSH)</term><term>Chi-Square Distribution (MeSH)</term><term>Cross-Sectional Studies (MeSH)</term><term>Female (MeSH)</term><term>Genital Neoplasms, Female (complications)</term><term>Genital Neoplasms, Female (pathology)</term><term>Humans (MeSH)</term><term>Logistic Models (MeSH)</term><term>Middle Aged (MeSH)</term><term>Saliva (metabolism)</term><term>Secretory Rate (MeSH)</term><term>Statistics, Nonparametric (MeSH)</term><term>Surveys and Questionnaires (MeSH)</term><term>Xerostomia (etiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Analyse de variance (MeSH)</term><term>Antinéoplasiques (effets indésirables)</term><term>Débit sécrétoire (MeSH)</term><term>Enquêtes et questionnaires (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Loi du khi-deux (MeSH)</term><term>Modèles logistiques (MeSH)</term><term>Salive (métabolisme)</term><term>Statistique non paramétrique (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Tumeurs de l'appareil génital féminin (anatomopathologie)</term><term>Tumeurs de l'appareil génital féminin (complications)</term><term>Tumeurs du sein (anatomopathologie)</term><term>Tumeurs du sein (complications)</term><term>Xérostomie (étiologie)</term><term>Études cas-témoins (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="adverse effects" xml:lang="en"><term>Antineoplastic Agents</term></keywords><keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Tumeurs de l'appareil génital féminin</term><term>Tumeurs du sein</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Breast Neoplasms</term><term>Genital Neoplasms, Female</term></keywords><keywords scheme="MESH" qualifier="effets indésirables" xml:lang="fr"><term>Antinéoplasiques</term><term>Tumeurs de l'appareil génital féminin</term><term>Tumeurs du sein</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Xerostomia</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Saliva</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Salive</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Breast Neoplasms</term><term>Genital Neoplasms, Female</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Xérostomie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Analysis of Variance</term><term>Case-Control Studies</term><term>Chi-Square Distribution</term><term>Cross-Sectional Studies</term><term>Female</term><term>Humans</term><term>Logistic Models</term><term>Middle Aged</term><term>Secretory Rate</term><term>Statistics, Nonparametric</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de variance</term><term>Débit sécrétoire</term><term>Enquêtes et questionnaires</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Loi du khi-deux</term><term>Modèles logistiques</term><term>Statistique non paramétrique</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études cas-témoins</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this study was to compare salivary flow rates (SWS) among patients diagnosed with benign and varying malignant solid tumors with the comparison group, prior to the initiation of any treatment. An evaluation of the results found that mean baseline SWS flow rates were higher for healthy patients (1.55 ml/min) when compared to patients diagnosed with benign tumors (1.13 ml/min), breast cancer (1.09 ml/min), and reproductive carcinomas (0.94 ml/min). The overall model (F = 7.76; p < .001) and the Dunnett's post hoc analyses were statistically significant at the p < .001 level. Additionally, medications, race, and season of the year had significant effects on mean SWS flow rates. The results suggest that salivary secretion is lower among both benign and malignant tumor subjects prior to the initiation of treatment. Salivary evaluations of subjects prior to treatment may be useful in identifying individuals at risk for oral complications during chemotherapy.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23600980</PMID><DateCompleted><Year>2014</Year><Month>03</Month><Day>26</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1754-4505</ISSN><JournalIssue CitedMedium="Internet"><Volume>33</Volume><Issue>3</Issue><PubDate><MedlineDate>2013 May-Jun</MedlineDate></PubDate></JournalIssue><Title>Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry</Title><ISOAbbreviation>Spec Care Dentist</ISOAbbreviation></Journal><ArticleTitle>Salivary flow rates among women diagnosed with benign and malignant tumors.</ArticleTitle><Pagination><MedlinePgn>102-10</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/scd.12017</ELocationID><Abstract><AbstractText>The purpose of this study was to compare salivary flow rates (SWS) among patients diagnosed with benign and varying malignant solid tumors with the comparison group, prior to the initiation of any treatment. An evaluation of the results found that mean baseline SWS flow rates were higher for healthy patients (1.55 ml/min) when compared to patients diagnosed with benign tumors (1.13 ml/min), breast cancer (1.09 ml/min), and reproductive carcinomas (0.94 ml/min). The overall model (F = 7.76; p < .001) and the Dunnett's post hoc analyses were statistically significant at the p < .001 level. Additionally, medications, race, and season of the year had significant effects on mean SWS flow rates. The results suggest that salivary secretion is lower among both benign and malignant tumor subjects prior to the initiation of treatment. Salivary evaluations of subjects prior to treatment may be useful in identifying individuals at risk for oral complications during chemotherapy.</AbstractText><CopyrightInformation>©2013 Special Care Dentistry Association and Wiley Periodicals, Inc.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Napeñas</LastName><ForeName>Joel J</ForeName><Initials>JJ</Initials><AffiliationInfo><Affiliation>Department of Oral Medicine, Carolinas Medical Center, Charlotte, NC, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miles</LastName><ForeName>Leslie</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Guajardo-Streckfus</LastName><ForeName>Cynthia</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Streckfus</LastName><ForeName>Charles F</ForeName><Initials>CF</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>03</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Spec Care Dentist</MedlineTA><NlmUniqueID>8103755</NlmUniqueID><ISSNLinking>0275-1879</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000970">Antineoplastic Agents</NameOfSubstance></Chemical></ChemicalList><CitationSubset>D</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000704" MajorTopicYN="N">Analysis of Variance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000970" MajorTopicYN="N">Antineoplastic Agents</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001943" MajorTopicYN="N">Breast Neoplasms</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016009" MajorTopicYN="N">Chi-Square Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005833" MajorTopicYN="N">Genital Neoplasms, Female</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012463" MajorTopicYN="N">Saliva</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012636" MajorTopicYN="N">Secretory Rate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018709" MajorTopicYN="N">Statistics, Nonparametric</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014987" MajorTopicYN="N">Xerostomia</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>4</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>4</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>3</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23600980</ArticleId><ArticleId IdType="doi">10.1111/scd.12017</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Caroline du Nord</li></region></list><tree><noCountry><name sortKey="Guajardo Streckfus, Cynthia" sort="Guajardo Streckfus, Cynthia" uniqKey="Guajardo Streckfus C" first="Cynthia" last="Guajardo-Streckfus">Cynthia Guajardo-Streckfus</name><name sortKey="Miles, Leslie" sort="Miles, Leslie" uniqKey="Miles L" first="Leslie" last="Miles">Leslie Miles</name><name sortKey="Streckfus, Charles F" sort="Streckfus, Charles F" uniqKey="Streckfus C" first="Charles F" last="Streckfus">Charles F. Streckfus</name></noCountry><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Nape As, Joel J" sort="Nape As, Joel J" uniqKey="Nape As J" first="Joel J" last="Nape As">Joel J. Nape As</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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