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




Process-based approach to modeling recurrent-event data explicated on the basis of occurrences of tooth losses in two different prosthetic treatment concepts - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Trials

, 17:244

First Online: 17 May 2016Received: 30 September 2015Accepted: 23 April 2016DOI: 10.1186-s13063-016-1360-y

Cite this article as: Diebner, H.H., Marré, B., Roeder, I. et al. Trials 2016 17: 244. doi:10.1186-s13063-016-1360-y

Abstract

BackgroundIn 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.

MethodsThe 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.

ResultsWithin 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.

ConclusionsAn 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.

Trial registrationThe trial has been registered at controlled-trials.com under ISRCTN97265367 registration date 4 April 2008.

KeywordsRecurrent events Cumulative sample history function Shortened dental arch Dental prosthesis AbbreviationsCSMFcumulative sample mean function

CSVFcumulative sample variance function

NSJnon-study jaw

SJstudy jaw

Electronic supplementary materialThe online version of this article doi:10.1186-s13063-016-1360-y contains supplementary material, which is available to authorized users.

Download fulltext PDF



Autor: Hans H. Diebner - Birgit Marré - Ingo Roeder - Michael H. Walter

Fuente: https://link.springer.com/







Documentos relacionados