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Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts.

Identifieur interne : 000158 ( PubMed/Corpus ); précédent : 000157; suivant : 000159

Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts.

Auteurs : Hans H. Diebner ; Birgit Marré ; Ingo Roeder ; Michael H. Walter

Source :

RBID : pubmed:27185170

English descriptors

Abstract

In studies comparing different prosthetic treatment concepts the repeated loss of teeth was chosen as the primary outcome. The resulting data appear to represent a data structure of recurrent events. However, the application of an existing method for recurrent events is far from straightforward. Often only the first event or the final state is analyzed using Kaplan-Meier survival statistics, thereby giving a great deal of information away.

DOI: 10.1186/s13063-016-1360-y
PubMed: 27185170

Links to Exploration step

pubmed:27185170

Le document en format XML

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<title xml:lang="en">Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts.</title>
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<name sortKey="Diebner, Hans H" sort="Diebner, Hans H" uniqKey="Diebner H" first="Hans H" last="Diebner">Hans H. Diebner</name>
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<nlm:affiliation>Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Institute for Medical Informatics and Biometry, Fetscherstrasse 74, Dresden, D-01307, Germany. hans.diebner@tu-dresden.de.</nlm:affiliation>
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<name sortKey="Marre, Birgit" sort="Marre, Birgit" uniqKey="Marre B" first="Birgit" last="Marré">Birgit Marré</name>
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<nlm:affiliation>Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dental School, Fetscherstrasse 74, Dresden, D-01307, Germany.</nlm:affiliation>
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<name sortKey="Roeder, Ingo" sort="Roeder, Ingo" uniqKey="Roeder I" first="Ingo" last="Roeder">Ingo Roeder</name>
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<nlm:affiliation>Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Institute for Medical Informatics and Biometry, Fetscherstrasse 74, Dresden, D-01307, Germany.</nlm:affiliation>
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<name sortKey="Walter, Michael H" sort="Walter, Michael H" uniqKey="Walter M" first="Michael H" last="Walter">Michael H. Walter</name>
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<nlm:affiliation>Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dental School, Fetscherstrasse 74, Dresden, D-01307, Germany.</nlm:affiliation>
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<title xml:lang="en">Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts.</title>
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<term>Dental Arch (surgery)</term>
<term>Dental Implantation (adverse effects)</term>
<term>Dental Implantation (instrumentation)</term>
<term>Dental Implantation (methods)</term>
<term>Denture, Partial, Fixed (adverse effects)</term>
<term>Denture, Partial, Removable (adverse effects)</term>
<term>Humans</term>
<term>Jaw, Edentulous, Partially (etiology)</term>
<term>Jaw, Edentulous, Partially (surgery)</term>
<term>Kaplan-Meier Estimate</term>
<term>Models, Statistical</term>
<term>Recurrence</term>
<term>Risk Factors</term>
<term>Time Factors</term>
<term>Tooth Extraction</term>
<term>Tooth Loss (etiology)</term>
<term>Tooth Loss (surgery)</term>
<term>Treatment Outcome</term>
</keywords>
<keywords scheme="MESH" qualifier="adverse effects" xml:lang="en">
<term>Dental Implantation</term>
<term>Denture, Partial, Fixed</term>
<term>Denture, Partial, Removable</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en">
<term>Jaw, Edentulous, Partially</term>
<term>Tooth Loss</term>
</keywords>
<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en">
<term>Dental Implantation</term>
</keywords>
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<term>Dental Implantation</term>
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<term>Dental Arch</term>
<term>Jaw, Edentulous, Partially</term>
<term>Tooth Loss</term>
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<term>Humans</term>
<term>Kaplan-Meier Estimate</term>
<term>Models, Statistical</term>
<term>Recurrence</term>
<term>Risk Factors</term>
<term>Time Factors</term>
<term>Tooth Extraction</term>
<term>Treatment Outcome</term>
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<div type="abstract" xml:lang="en">In studies comparing different prosthetic treatment concepts the repeated loss of teeth was chosen as the primary outcome. The resulting data appear to represent a data structure of recurrent events. However, the application of an existing method for recurrent events is far from straightforward. Often only the first event or the final state is analyzed using Kaplan-Meier survival statistics, thereby giving a great deal of information away.</div>
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<DateCompleted>
<Year>2017</Year>
<Month>01</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised>
<Year>2017</Year>
<Month>01</Month>
<Day>17</Day>
</DateRevised>
<Article PubModel="Electronic">
<Journal>
<ISSN IssnType="Electronic">1745-6215</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>17</Volume>
<Issue>1</Issue>
<PubDate>
<Year>2016</Year>
<Month>May</Month>
<Day>17</Day>
</PubDate>
</JournalIssue>
<Title>Trials</Title>
<ISOAbbreviation>Trials</ISOAbbreviation>
</Journal>
<ArticleTitle>Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts.</ArticleTitle>
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<Abstract>
<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">In studies comparing different prosthetic treatment concepts the repeated loss of teeth was chosen as the primary outcome. The resulting data appear to represent a data structure of recurrent events. However, the application of an existing method for recurrent events is far from straightforward. Often only the first event or the final state is analyzed using Kaplan-Meier survival statistics, thereby giving a great deal of information away.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The paper presents a strategy for the analysis of recurrent data using a previously published study on the influence of different prosthetic treatment concepts for the shortened dental arch on tooth loss. A method based on cumulative sample history functions of recurrent events was adjusted for tooth loss. The shapes of these cumulative functions suggest a time dependency of the recurrence rate. To keep the model as simple as possible, a tripartite Poisson process (which assumes piecewise time-independent rates) was fitted to the cumulative mean functions stratified by treatment.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Within the middle interval of the three-phasic process, the treatment effects differ significantly, which is interpreted as a delay of tooth loss due to the use of one type of prosthesis (fixed) compared with the other (removable).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">An analysis based on cumulative history functions is based on process, therefore, temporally changing characteristics are better captured than in methods for survival analyses. The presented approach offers useful new insight into the temporal behavior of ongoing tooth loss after prosthetic treatment.</AbstractText>
<AbstractText Label="TRIAL REGISTRATION" NlmCategory="BACKGROUND">The trial has been registered at controlled-trials.com under ISRCTN97265367 (registration date 4 April 2008).</AbstractText>
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<Affiliation>Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Institute for Medical Informatics and Biometry, Fetscherstrasse 74, Dresden, D-01307, Germany. hans.diebner@tu-dresden.de.</Affiliation>
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<Language>eng</Language>
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<RefSource>Biometrics. 1980 Jun;36(2):255-66</RefSource>
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<RefSource>Trials. 2010;11:15</RefSource>
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<RefSource>J Dent Res. 2010 Aug;89(8):818-22</RefSource>
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<RefSource>Clin Oral Investig. 2013 Apr;17(3):877-86</RefSource>
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<DescriptorName UI="D003724" MajorTopicYN="N">Dental Arch</DescriptorName>
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<DescriptorName UI="D053208" MajorTopicYN="N">Kaplan-Meier Estimate</DescriptorName>
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<DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
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<DescriptorName UI="D014081" MajorTopicYN="Y">Tooth Extraction</DescriptorName>
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<DescriptorName UI="D016388" MajorTopicYN="N">Tooth Loss</DescriptorName>
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<OtherID Source="NLM">PMC4869190</OtherID>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Cumulative sample history function</Keyword>
<Keyword MajorTopicYN="N">Dental prosthesis</Keyword>
<Keyword MajorTopicYN="N">Recurrent events</Keyword>
<Keyword MajorTopicYN="N">Shortened dental arch</Keyword>
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