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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao European Journal of ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
European Journal of Cancer
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://pubmed.ncbi.nlm.nih.go...
Other literature type . 2016
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The role of censoring on progression free survival: Oncologist discretion advised

Authors: Vinay, Prasad; Usama, Bilal;

The role of censoring on progression free survival: Oncologist discretion advised

Abstract

Censoring is increasingly appreciated as a potential bias affecting estimates of progression free survival (PFS) in randomised trials. In this commentary, we explore the central assumption of censoring. Censored patients are considered no more or less likely to undergo the event of interest than those who remain in the analysis. Instead however, if one makes alternate assumptions, that censored patients are different than those who remain on the trial, estimates of PFS change. Using the example of the recent BOLERO-2 trial of exemestane and everolimus, we show that by altering the assumptions for censoring, the major conclusions of clinical trials may change. As such, the number of censored patients at each time interval should be routinely reported in randomised trials to better understand the implications of censoring.

Keywords

Time Factors, Endpoint Determination, Reproducibility of Results, Breast Neoplasms, Kaplan-Meier Estimate, Disease-Free Survival, Androstadienes, Bias, Research Design, Data Interpretation, Statistical, Antineoplastic Combined Chemotherapy Protocols, Humans, Female, Everolimus, Treatment Failure, Randomized Controlled Trials as Topic

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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