On reporting results from randomized controlled trials with recurrent events

<p>Abstract</p> <p>Background</p> <p>Evidence-based medicine has been advanced by the use of standards for reporting the design and methodology of randomized controlled trials (RCT). Indeed, without this information it is difficult to assess the quality of evidence from...

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Main Authors: Sobolev Boris G, Kuramoto Lisa, Donaldson Meghan G
Format: Article
Language:English
Published: BMC 2008-05-01
Series:BMC Medical Research Methodology
Online Access:http://www.biomedcentral.com/1471-2288/8/35
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spelling doaj-5ab02dad48bd46a189bce5d5ed9bc3322020-11-25T00:26:35ZengBMCBMC Medical Research Methodology1471-22882008-05-01813510.1186/1471-2288-8-35On reporting results from randomized controlled trials with recurrent eventsSobolev Boris GKuramoto LisaDonaldson Meghan G<p>Abstract</p> <p>Background</p> <p>Evidence-based medicine has been advanced by the use of standards for reporting the design and methodology of randomized controlled trials (RCT). Indeed, without this information it is difficult to assess the quality of evidence from an RCT. Although a variety of statistical methods are available for the analysis of recurrent events, reporting the effect of an intervention on outcomes that recur is an area that remains poorly understood in clinical research. The purpose of this paper is to outline guidelines for reporting results from RCTs where the outcome of interest is a recurrent event.</p> <p>Methods</p> <p>We used a simulation study to relate an event process and results from analyses of the gamma-Poisson, independent-increment, conditional, and marginal Cox models. We reviewed the utility of regression models for the rate of a recurrent event by articulating the associated study questions, preenting the risk sets, and interpreting the regression coefficients.</p> <p>Results</p> <p>Based on a single data set produced by simulation, we reported and contrasted results from statistical methods for evaluating treatment effect from an RCT with a recurrent outcome. We showed that each model has different study questions, assumptions, risk sets, and rate ratio interpretation, and so inferences should consider the appropriateness of the model for the RCT.</p> <p>Conclusion</p> <p>Our guidelines for reporting results from an RCT involving a recurrent event suggest that the study question and the objectives of the trial, such as assessing comparable groups and estimating effect size, should determine the statistical methods. The guidelines should allow clinical researchers to report appropriate measures from an RCT for understanding the effect of intervention on the occurrence of a recurrent event.</p> http://www.biomedcentral.com/1471-2288/8/35
collection DOAJ
language English
format Article
sources DOAJ
author Sobolev Boris G
Kuramoto Lisa
Donaldson Meghan G
spellingShingle Sobolev Boris G
Kuramoto Lisa
Donaldson Meghan G
On reporting results from randomized controlled trials with recurrent events
BMC Medical Research Methodology
author_facet Sobolev Boris G
Kuramoto Lisa
Donaldson Meghan G
author_sort Sobolev Boris G
title On reporting results from randomized controlled trials with recurrent events
title_short On reporting results from randomized controlled trials with recurrent events
title_full On reporting results from randomized controlled trials with recurrent events
title_fullStr On reporting results from randomized controlled trials with recurrent events
title_full_unstemmed On reporting results from randomized controlled trials with recurrent events
title_sort on reporting results from randomized controlled trials with recurrent events
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2008-05-01
description <p>Abstract</p> <p>Background</p> <p>Evidence-based medicine has been advanced by the use of standards for reporting the design and methodology of randomized controlled trials (RCT). Indeed, without this information it is difficult to assess the quality of evidence from an RCT. Although a variety of statistical methods are available for the analysis of recurrent events, reporting the effect of an intervention on outcomes that recur is an area that remains poorly understood in clinical research. The purpose of this paper is to outline guidelines for reporting results from RCTs where the outcome of interest is a recurrent event.</p> <p>Methods</p> <p>We used a simulation study to relate an event process and results from analyses of the gamma-Poisson, independent-increment, conditional, and marginal Cox models. We reviewed the utility of regression models for the rate of a recurrent event by articulating the associated study questions, preenting the risk sets, and interpreting the regression coefficients.</p> <p>Results</p> <p>Based on a single data set produced by simulation, we reported and contrasted results from statistical methods for evaluating treatment effect from an RCT with a recurrent outcome. We showed that each model has different study questions, assumptions, risk sets, and rate ratio interpretation, and so inferences should consider the appropriateness of the model for the RCT.</p> <p>Conclusion</p> <p>Our guidelines for reporting results from an RCT involving a recurrent event suggest that the study question and the objectives of the trial, such as assessing comparable groups and estimating effect size, should determine the statistical methods. The guidelines should allow clinical researchers to report appropriate measures from an RCT for understanding the effect of intervention on the occurrence of a recurrent event.</p>
url http://www.biomedcentral.com/1471-2288/8/35
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