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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Medication use in breast cancer survivors compared to midlife women</title>
<author><name sortKey="Otte, Julie L" sort="Otte, Julie L" uniqKey="Otte J" first="Julie L." last="Otte">Julie L. Otte</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Skaar, Todd C" sort="Skaar, Todd C" uniqKey="Skaar T" first="Todd C." last="Skaar">Todd C. Skaar</name>
<affiliation><nlm:aff id="A2">Indiana University Division of Clinical Pharmacology, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Wu, Jingwei" sort="Wu, Jingwei" uniqKey="Wu J" first="Jingwei" last="Wu">Jingwei Wu</name>
<affiliation><nlm:aff id="A3">Indiana University Department of Biostatistics, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yu, Menggang" sort="Yu, Menggang" uniqKey="Yu M" first="Menggang" last="Yu">Menggang Yu</name>
<affiliation><nlm:aff id="A4">University of Wisconsin Division of Biostatistics, Madison</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ryker, Kristin" sort="Ryker, Kristin" uniqKey="Ryker K" first="Kristin" last="Ryker">Kristin Ryker</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Burns, Debra S" sort="Burns, Debra S" uniqKey="Burns D" first="Debra S." last="Burns">Debra S. Burns</name>
<affiliation><nlm:aff id="A5">Dept. of Music and Arts Technology, Purdue School of Engineering and Technology @ IUPUI</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Carpenter, Janet S" sort="Carpenter, Janet S" uniqKey="Carpenter J" first="Janet S." last="Carpenter">Janet S. Carpenter</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">23397094</idno>
<idno type="pmc">3669653</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669653</idno>
<idno type="RBID">PMC:3669653</idno>
<idno type="doi">10.1007/s00520-013-1727-5</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">003943</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">003943</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Medication use in breast cancer survivors compared to midlife women</title>
<author><name sortKey="Otte, Julie L" sort="Otte, Julie L" uniqKey="Otte J" first="Julie L." last="Otte">Julie L. Otte</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Skaar, Todd C" sort="Skaar, Todd C" uniqKey="Skaar T" first="Todd C." last="Skaar">Todd C. Skaar</name>
<affiliation><nlm:aff id="A2">Indiana University Division of Clinical Pharmacology, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Wu, Jingwei" sort="Wu, Jingwei" uniqKey="Wu J" first="Jingwei" last="Wu">Jingwei Wu</name>
<affiliation><nlm:aff id="A3">Indiana University Department of Biostatistics, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Yu, Menggang" sort="Yu, Menggang" uniqKey="Yu M" first="Menggang" last="Yu">Menggang Yu</name>
<affiliation><nlm:aff id="A4">University of Wisconsin Division of Biostatistics, Madison</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ryker, Kristin" sort="Ryker, Kristin" uniqKey="Ryker K" first="Kristin" last="Ryker">Kristin Ryker</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Burns, Debra S" sort="Burns, Debra S" uniqKey="Burns D" first="Debra S." last="Burns">Debra S. Burns</name>
<affiliation><nlm:aff id="A5">Dept. of Music and Arts Technology, Purdue School of Engineering and Technology @ IUPUI</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Carpenter, Janet S" sort="Carpenter, Janet S" uniqKey="Carpenter J" first="Janet S." last="Carpenter">Janet S. Carpenter</name>
<affiliation><nlm:aff id="A1">Indiana University School of Nursing, Indianapolis</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer</title>
<idno type="ISSN">0941-4355</idno>
<idno type="eISSN">1433-7339</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Purpose</title>
<p id="P1">Many breast cancer survivors (BCS) take multiple medications for health problems associated with the treated cancer and other non-cancer co-morbidities. However, there is no published, large scale descriptive evaluation of medication use in BCS compared to midlife women. The purpose of this study was (1) To compare the number and types of prescription medications and over-the-counter medications between BCS and midlife women without cancer and (2) to assess possible drug-drug interactions by evaluating the cytochrome P450 isoform properties of medications (inductors and inhibitors) in both groups.</p>
</sec>
<sec id="S2"><title>Methods</title>
<p id="P2">A cross-sectional, descriptive, comparative design was used. Baseline data from 98 BCS and 138 midlife women without cancer was analyzed from a behavioral intervention trial for menopausal symptoms.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">BCS were taking significantly more prescription medications and a larger variety of different types of medication classifications (p<0.05) after controlling for group differences (race, non-cancer comorbid conditions, marital status, income and smoking) in demographics. Twenty four women were taking at least one medication considered to be a cytochrome P450 isoforms (CYP) inhibitor or inducer capable of clinical drug-drug interactions with no differences in CYP inhibitors or inducers found between groups.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">BCS are taking a vast array of medications during survivorship. It is unclear if prescription medications are managed by a single health care provider or several providers. Clinical implications are to monitor for possible interactions among the various prescription medications, over-the-counter medications, and supplements. Implications for behavioral and biomedical research are that clinical studies need to carefully assess and account for multiple medication uses.</p>
</sec>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9302957</journal-id>
<journal-id journal-id-type="pubmed-jr-id">8479</journal-id>
<journal-id journal-id-type="nlm-ta">Support Care Cancer</journal-id>
<journal-id journal-id-type="iso-abbrev">Support Care Cancer</journal-id>
<journal-title-group><journal-title>Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer</journal-title>
</journal-title-group>
<issn pub-type="ppub">0941-4355</issn>
<issn pub-type="epub">1433-7339</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">23397094</article-id>
<article-id pub-id-type="pmc">3669653</article-id>
<article-id pub-id-type="doi">10.1007/s00520-013-1727-5</article-id>
<article-id pub-id-type="manuscript">NIHMS444328</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Medication use in breast cancer survivors compared to midlife women</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Otte</surname>
<given-names>Julie L.</given-names>
</name>
<degrees>PhD, RN, OCN</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Skaar</surname>
<given-names>Todd C.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Wu</surname>
<given-names>Jingwei</given-names>
</name>
<degrees>MS</degrees>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yu</surname>
<given-names>Menggang</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ryker</surname>
<given-names>Kristin</given-names>
</name>
<degrees>MPH</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Burns</surname>
<given-names>Debra S.</given-names>
</name>
<degrees>PhD, MT-BC</degrees>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Carpenter</surname>
<given-names>Janet S.</given-names>
</name>
<degrees>PhD, RN, FAAN</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Indiana University School of Nursing, Indianapolis</aff>
<aff id="A2"><label>2</label>
Indiana University Division of Clinical Pharmacology, Indianapolis</aff>
<aff id="A3"><label>3</label>
Indiana University Department of Biostatistics, Indianapolis</aff>
<aff id="A4"><label>4</label>
University of Wisconsin Division of Biostatistics, Madison</aff>
<aff id="A5"><label>5</label>
Dept. of Music and Arts Technology, Purdue School of Engineering and Technology @ IUPUI</aff>
<author-notes><corresp id="cor1">Corresponding Author: Julie L. Otte, PhD, RN, OCN, 1111 Middle Drive NU W401, Indianapolis, IN 46202, 317-274-0886</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>23</day>
<month>2</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub"><day>10</day>
<month>2</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub"><month>7</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>7</month>
<year>2014</year>
</pub-date>
<volume>21</volume>
<issue>7</issue>
<fpage>1827</fpage>
<lpage>1833</lpage>
<abstract><sec id="S1"><title>Purpose</title>
<p id="P1">Many breast cancer survivors (BCS) take multiple medications for health problems associated with the treated cancer and other non-cancer co-morbidities. However, there is no published, large scale descriptive evaluation of medication use in BCS compared to midlife women. The purpose of this study was (1) To compare the number and types of prescription medications and over-the-counter medications between BCS and midlife women without cancer and (2) to assess possible drug-drug interactions by evaluating the cytochrome P450 isoform properties of medications (inductors and inhibitors) in both groups.</p>
</sec>
<sec id="S2"><title>Methods</title>
<p id="P2">A cross-sectional, descriptive, comparative design was used. Baseline data from 98 BCS and 138 midlife women without cancer was analyzed from a behavioral intervention trial for menopausal symptoms.</p>
</sec>
<sec id="S3"><title>Results</title>
<p id="P3">BCS were taking significantly more prescription medications and a larger variety of different types of medication classifications (p<0.05) after controlling for group differences (race, non-cancer comorbid conditions, marital status, income and smoking) in demographics. Twenty four women were taking at least one medication considered to be a cytochrome P450 isoforms (CYP) inhibitor or inducer capable of clinical drug-drug interactions with no differences in CYP inhibitors or inducers found between groups.</p>
</sec>
<sec id="S4"><title>Conclusion</title>
<p id="P4">BCS are taking a vast array of medications during survivorship. It is unclear if prescription medications are managed by a single health care provider or several providers. Clinical implications are to monitor for possible interactions among the various prescription medications, over-the-counter medications, and supplements. Implications for behavioral and biomedical research are that clinical studies need to carefully assess and account for multiple medication uses.</p>
</sec>
</abstract>
<kwd-group><kwd>breast cancer survivor</kwd>
<kwd>medication use</kwd>
<kwd>drug interaction</kwd>
<kwd>self-management</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Cancer Institute : NCI</funding-source>
<award-id>R01 CA132927 || CA</award-id>
</award-group>
<award-group><funding-source country="United States">National Center for Research Resources : NCRR</funding-source>
<award-id>KL2 RR025760 || RR</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
</pmc>
</record>
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