Serveur d'exploration sur le patient édenté

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Tooth extraction decision model in periodontitis patients

Identifieur interne : 002096 ( Istex/Corpus ); précédent : 002095; suivant : 002097

Tooth extraction decision model in periodontitis patients

Auteurs : A. Popelut ; B. Rousval ; O. Fromentin ; M. Feghali ; F. Mora ; P. Bouchard

Source :

RBID : ISTEX:4335055F59C36268E4F5615C7544B2ECE8A5F43D

English descriptors

Abstract

Objective: The purpose of this study was to build, around several types of input data, a decision analysis model for dental extraction strategy in periodontitis patients.

Url:
DOI: 10.1111/j.1600-0501.2009.01850.x

Links to Exploration step

ISTEX:4335055F59C36268E4F5615C7544B2ECE8A5F43D

Le document en format XML

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<hi rend="bold">Objective: </hi>
The purpose of this study was to build, around several types of input data, a decision analysis model for dental extraction strategy in periodontitis patients.</p>
<p>
<hi rend="bold">Materials and methods: </hi>
The decision analysis was based on the following scenario: a fictitious adult chronic periodontitis patient with no chief complaint, being referred to make a decision of extraction on one single tooth presenting a periodontal defect that may affect the decision‐making process. A decision tree was used to identify the treatment options within the next 5 years. Scientific evidences were based on probabilities given by a literature analysis using a systematic approach. Clinical expertize was based on subjective utilities (SUs) assigned by an experts' panel. Expected utilities (EUs) were used to rank the following options: no treatment (EU
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<hi rend="subscript">2</hi>
); extraction followed by a tooth‐supported fixed partial denture – FPD – (EU
<hi rend="subscript">3</hi>
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<hi rend="subscript">4</hi>
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<p>
<hi rend="bold">Results: </hi>
The robustness analysis calculation indicates that the probability of tooth survival needed to be equal to 0.78 in order that the passive option becomes optimal.</p>
<p>However, EU
<hi rend="subscript">1</hi>
was impossible to calculate due to the lack of available probabilities. The EU intervals were 79–96, 86–89 and 94–95 for EU
<hi rend="subscript">2</hi>
, EU
<hi rend="subscript">3</hi>
and EU
<hi rend="subscript">4</hi>
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<p>
<hi rend="bold">Conclusions: </hi>
Within the limits of this model, tooth extraction followed by FPD is the worst strategy compared with ISC or periodontal therapies.</p>
<p>
<hi rend="bold">To cite this article:</hi>

Popelut A, Rousval B, Fromentin O, Feghali M, Mora F, Bouchard P. Tooth extraction decision model in periodontitis patients.

<hi rend="italic">Clin Oral Impl Res</hi>
.
<hi rend="bold">21</hi>
, 2010; 80–89.</p>
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<i>Philippe Bouchard</i>

Departement de Parodontologie
U.F.R. d'Odontologie
5 rue Garancière
75006 Paris
France
Tel.: +00 33 6 14 65 69 47
e‐mail:
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<title type="main">Abstract</title>
<p>
<b>Objective: </b>
The purpose of this study was to build, around several types of input data, a decision analysis model for dental extraction strategy in periodontitis patients.</p>
<p>
<b>Materials and methods: </b>
The decision analysis was based on the following scenario: a fictitious adult chronic periodontitis patient with no chief complaint, being referred to make a decision of extraction on one single tooth presenting a periodontal defect that may affect the decision‐making process. A decision tree was used to identify the treatment options within the next 5 years. Scientific evidences were based on probabilities given by a literature analysis using a systematic approach. Clinical expertize was based on subjective utilities (SUs) assigned by an experts' panel. Expected utilities (EUs) were used to rank the following options: no treatment (EU
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<sub>3</sub>
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<p>
<b>Results: </b>
The robustness analysis calculation indicates that the probability of tooth survival needed to be equal to 0.78 in order that the passive option becomes optimal.</p>
<p>However, EU
<sub>1</sub>
was impossible to calculate due to the lack of available probabilities. The EU intervals were 79–96, 86–89 and 94–95 for EU
<sub>2</sub>
, EU
<sub>3</sub>
and EU
<sub>4</sub>
, respectively. Consequently, the FPD option is dominated by the ISC option, and it is not possible to conclude to a difference between the periodontal and the ISC therapy.</p>
<p>
<b>Conclusions: </b>
Within the limits of this model, tooth extraction followed by FPD is the worst strategy compared with ISC or periodontal therapies.</p>
<p>
<b>To cite this article:</b>

Popelut A, Rousval B, Fromentin O, Feghali M, Mora F, Bouchard P. Tooth extraction decision model in periodontitis patients.

<i>Clin Oral Impl Res</i>
.
<b>21</b>
, 2010; 80–89.</p>
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<affiliation>Department of Periodontology, Service of Odontology, Hôtel‐Dieu Hospital, AP‐HP, Paris 7‐Denis Diderot University, U.F.R. of Odontology, Paris, France</affiliation>
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<affiliation>Department of Periodontology, Service of Odontology, Hôtel‐Dieu Hospital, AP‐HP, Paris 7‐Denis Diderot University, U.F.R. of Odontology, Paris, France</affiliation>
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<dateIssued encoding="w3cdtf">2010-01</dateIssued>
<edition>Date: Accepted 25 August 2009</edition>
<copyrightDate encoding="w3cdtf">2010</copyrightDate>
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<abstract>Objective: The purpose of this study was to build, around several types of input data, a decision analysis model for dental extraction strategy in periodontitis patients.</abstract>
<abstract>Materials and methods: The decision analysis was based on the following scenario: a fictitious adult chronic periodontitis patient with no chief complaint, being referred to make a decision of extraction on one single tooth presenting a periodontal defect that may affect the decision‐making process. A decision tree was used to identify the treatment options within the next 5 years. Scientific evidences were based on probabilities given by a literature analysis using a systematic approach. Clinical expertize was based on subjective utilities (SUs) assigned by an experts' panel. Expected utilities (EUs) were used to rank the following options: no treatment (EU1) or periodontal treatment (EU2); extraction followed by a tooth‐supported fixed partial denture – FPD – (EU3) or an implant‐supported single crown – ISC – (EU4).</abstract>
<abstract>Results: The robustness analysis calculation indicates that the probability of tooth survival needed to be equal to 0.78 in order that the passive option becomes optimal.</abstract>
<abstract>However, EU1 was impossible to calculate due to the lack of available probabilities. The EU intervals were 79–96, 86–89 and 94–95 for EU2, EU3 and EU4, respectively. Consequently, the FPD option is dominated by the ISC option, and it is not possible to conclude to a difference between the periodontal and the ISC therapy.</abstract>
<abstract>Conclusions: Within the limits of this model, tooth extraction followed by FPD is the worst strategy compared with ISC or periodontal therapies.</abstract>
<abstract>To cite this article: 
Popelut A, Rousval B, Fromentin O, Feghali M, Mora F, Bouchard P. Tooth extraction decision model in periodontitis patients.
Clin Oral Impl Res. 21, 2010; 80–89.</abstract>
<subject lang="en">
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<topic>decision making</topic>
<topic>dental extraction</topic>
<topic>evidence‐based dentistry</topic>
<topic>fixed partial dentures</topic>
<topic>implant dentistry</topic>
<topic>single crowns</topic>
<topic>supportive periodontal therapy</topic>
<topic>systematic review</topic>
<topic>tooth loss</topic>
<topic>utility</topic>
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<identifier type="ISSN">0905-7161</identifier>
<identifier type="eISSN">1600-0501</identifier>
<identifier type="DOI">10.1111/(ISSN)1600-0501</identifier>
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<identifier type="DOI">10.1111/j.1600-0501.2009.01850.x</identifier>
<identifier type="ArticleID">CLR1850</identifier>
<accessCondition type="use and reproduction" contentType="copyright">© 2009 John Wiley & Sons A/S</accessCondition>
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