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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Predicting Clustered Dental Implant Survival Using Frailty Methods</title>
<author><name sortKey="Chuang, S K" sort="Chuang, S K" uniqKey="Chuang S" first="S.-K." last="Chuang">S.-K. Chuang</name>
<affiliation><nlm:aff id="A1"> Department of Oral and Maxillofacial Surgery, Massachusetts General Hospital and Harvard School of Dental Medicine, 55 Fruit Street, Warren 1201, Boston, MA 02114, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cai, T" sort="Cai, T" uniqKey="Cai T" first="T." last="Cai">T. Cai</name>
<affiliation><nlm:aff id="A2"> Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">17122171</idno>
<idno type="pmc">2443684</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443684</idno>
<idno type="RBID">PMC:2443684</idno>
<date when="2006">2006</date>
<idno type="wicri:Area/Pmc/Corpus">000990</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000990</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Predicting Clustered Dental Implant Survival Using Frailty Methods</title>
<author><name sortKey="Chuang, S K" sort="Chuang, S K" uniqKey="Chuang S" first="S.-K." last="Chuang">S.-K. Chuang</name>
<affiliation><nlm:aff id="A1"> Department of Oral and Maxillofacial Surgery, Massachusetts General Hospital and Harvard School of Dental Medicine, 55 Fruit Street, Warren 1201, Boston, MA 02114, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cai, T" sort="Cai, T" uniqKey="Cai T" first="T." last="Cai">T. Cai</name>
<affiliation><nlm:aff id="A2"> Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Journal of dental research</title>
<idno type="ISSN">0022-0345</idno>
<idno type="eISSN">1544-0591</idno>
<imprint><date when="2006">2006</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p id="P1">The purpose of this study was to predict future implant survival using information on risk factors and on the survival status of an individual’s existing implant(s). We considered a retrospective cohort study with 677 individuals having 2349 implants placed. We proposed to predict the survival probabilities using the Cox proportional hazards frailty model, with three important risk factors: smoking status, timing of placement, and implant staging. For a non-smoking individual with 2 implants placed, an immediate implant and in one stage, the marginal probability that 1 implant would survive 12 months was 85.8% (95%CI: 77%, 91.7%), and the predicted joint probability of surviving for 12 months was 75.1% (95%CI: 62.1%, 84.7%). If 1 implant was placed earlier and had survived for 12 months, then the second implant had an 87.5% (95%CI: 80.3%, 92.4%) chance of surviving 12 months. Such conditional and joint predictions can assist in clinical decision-making for individuals.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article" xml:lang="EN"><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">0354343</journal-id>
<journal-id journal-id-type="pubmed-jr-id">4700</journal-id>
<journal-id journal-id-type="nlm-ta">J Dent Res</journal-id>
<journal-title>Journal of dental research</journal-title>
<issn pub-type="ppub">0022-0345</issn>
<issn pub-type="epub">1544-0591</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">17122171</article-id>
<article-id pub-id-type="pmc">2443684</article-id>
<article-id pub-id-type="manuscript">NIHMS36147</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Predicting Clustered Dental Implant Survival Using Frailty Methods</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Chuang</surname>
<given-names>S.-K.</given-names>
</name>
<xref rid="A1" ref-type="aff">1</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Cai</surname>
<given-names>T.</given-names>
</name>
<xref rid="A2" ref-type="aff">2</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Department of Oral and Maxillofacial Surgery, Massachusetts General Hospital and Harvard School of Dental Medicine, 55 Fruit Street, Warren 1201, Boston, MA 02114, USA</aff>
<aff id="A2"><label>2</label>
Department of Biostatistics, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA</aff>
<author-notes><corresp id="FN1">*corresponding author, PO Box 67376, Chestnut Hill Station, Chestnut Hill, MA 02467, USA, <email>schuang@hsph.harvard.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>29</day>
<month>4</month>
<year>2008</year>
</pub-date>
<pub-date pub-type="ppub"><month>12</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>7</day>
<month>7</month>
<year>2008</year>
</pub-date>
<volume>85</volume>
<issue>12</issue>
<fpage>1147</fpage>
<lpage>1151</lpage>
<abstract><p id="P1">The purpose of this study was to predict future implant survival using information on risk factors and on the survival status of an individual’s existing implant(s). We considered a retrospective cohort study with 677 individuals having 2349 implants placed. We proposed to predict the survival probabilities using the Cox proportional hazards frailty model, with three important risk factors: smoking status, timing of placement, and implant staging. For a non-smoking individual with 2 implants placed, an immediate implant and in one stage, the marginal probability that 1 implant would survive 12 months was 85.8% (95%CI: 77%, 91.7%), and the predicted joint probability of surviving for 12 months was 75.1% (95%CI: 62.1%, 84.7%). If 1 implant was placed earlier and had survived for 12 months, then the second implant had an 87.5% (95%CI: 80.3%, 92.4%) chance of surviving 12 months. Such conditional and joint predictions can assist in clinical decision-making for individuals.</p>
</abstract>
<kwd-group><kwd>clustered data</kwd>
<kwd>survival predictions</kwd>
<kwd>frailty</kwd>
<kwd>correlated survival analysis</kwd>
<kwd>proportional hazards model</kwd>
<kwd>dental implants</kwd>
</kwd-group>
<contract-num rid="DE1">R03 DE016919-01</contract-num>
<contract-sponsor id="DE1">National Institute of Dental and Craniofacial Research : NIDCR</contract-sponsor>
</article-meta>
</front>
</pmc>
</record>
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