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Factors Associated with Failure of Surface‐Modified Implants up to Four Years of Function

Identifieur interne : 002F02 ( Istex/Corpus ); précédent : 002F01; suivant : 002F03

Factors Associated with Failure of Surface‐Modified Implants up to Four Years of Function

Auteurs : Jan Cosyn ; Edward Vandenbulcke ; Hilde Browaeys ; Georges Van Maele ; Hugo De Bruyn

Source :

RBID : ISTEX:5FC5C6A6B87C7FD37E2D4199EE0B4D1C24BA33EF

English descriptors

Abstract

Objectives: The relative impact of innovative treatment concepts on the failure of surface‐modified implants is not well understood. This retrospective study aimed to explore this using data obtained in a university postgraduate training center.

Url:
DOI: 10.1111/j.1708-8208.2010.00282.x

Links to Exploration step

ISTEX:5FC5C6A6B87C7FD37E2D4199EE0B4D1C24BA33EF

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The relative impact of innovative treatment concepts on the failure of surface‐modified implants is not well understood. This retrospective study aimed to explore this using data obtained in a university postgraduate training center.</p>
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Patients treated with implants for a variety of indications over a 3‐year period were included. All implants had been at least 1 year in function. Clinical records were evaluated for implant failure and in reference to implant length/diameter/location, time from tooth loss to implant placement, bone condition (native/grafted), surgical protocol (two‐/one‐stage), loading protocol (delayed/early/immediate), type of prosthesis (removable/fixed), surgeon's experience level (resident/trainee) and specialty (periodontist/oral surgeon). The impact of each covariate on failure was tested using the Fisher's exact test. Kaplan‐Meier survival functions were constructed and Mantel‐Cox log–rank tests were used to compare survival functions. To correct for possible interaction, Cox proportional Hazards regression was adopted.</p>
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<hi rend="bold">Results:</hi>
Forty‐one of 1,180 (3.5%) implants were lost in 34/461 (7.4%) patients (245 ♀, 216 ♂; mean age 51, range 18–90). Factors showing significant impact on failure on the basis of univariate analyses were implant location (
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Implant therapy may be highly successful in a training center where inexperienced clinicians are strictly monitored and personally guided. Implant specific variables do not affect implant survival but early loading is a risk indicator for implant failure, whereas immediate loading is not.</p>
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<b>Objectives:</b>
The relative impact of innovative treatment concepts on the failure of surface‐modified implants is not well understood. This retrospective study aimed to explore this using data obtained in a university postgraduate training center.</p>
<p>
<b>Material and Methods:</b>
Patients treated with implants for a variety of indications over a 3‐year period were included. All implants had been at least 1 year in function. Clinical records were evaluated for implant failure and in reference to implant length/diameter/location, time from tooth loss to implant placement, bone condition (native/grafted), surgical protocol (two‐/one‐stage), loading protocol (delayed/early/immediate), type of prosthesis (removable/fixed), surgeon's experience level (resident/trainee) and specialty (periodontist/oral surgeon). The impact of each covariate on failure was tested using the Fisher's exact test. Kaplan‐Meier survival functions were constructed and Mantel‐Cox log–rank tests were used to compare survival functions. To correct for possible interaction, Cox proportional Hazards regression was adopted.</p>
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