Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls.

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Title: Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls.
Authors: Pocock, Stuart J, Clayton, Tim C, Altman, Douglas G
Source: Lancet. 5/11/2002, Vol. 359 Issue 9318, p1686. 4p. 3 Graphs.
Subjects: Clinical trials, Medical research, Charts, diagrams, etc., Research
Abstract: Survival plots of time-to-event data are a key component for reporting results of many clinical trials (and cohort studies). However, mistakes and distortions often arise in the display and interpretation of survival plots. This article aims to highlight such pitfalls and provide recommendations for future practice. Findings are illustrated by topical examples and also based on a survey of recent clinical trial publications in four major journals. Specific issues are: should plots go up or down (we recommend up), how far in time to extend the plot, showing the extent of follow-up, displaying statistical uncertainty by including SEs or CIS, and exercising caution when interpreting the shape of plots and the time-pattern of treatment difference. [ABSTRACT FROM AUTHOR]
Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls.
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  Data: <searchLink fieldCode="AR" term="%22Pocock%2C+Stuart+J%22">Pocock, Stuart J</searchLink><br /><searchLink fieldCode="AR" term="%22Clayton%2C+Tim+C%22">Clayton, Tim C</searchLink><br /><searchLink fieldCode="AR" term="%22Altman%2C+Douglas+G%22">Altman, Douglas G</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Survival plots of time-to-event data are a key component for reporting results of many clinical trials (and cohort studies). However, mistakes and distortions often arise in the display and interpretation of survival plots. This article aims to highlight such pitfalls and provide recommendations for future practice. Findings are illustrated by topical examples and also based on a survey of recent clinical trial publications in four major journals. Specific issues are: should plots go up or down (we recommend up), how far in time to extend the plot, showing the extent of follow-up, displaying statistical uncertainty by including SEs or CIS, and exercising caution when interpreting the shape of plots and the time-pattern of treatment difference. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/S0140-6736(02)08594-X
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        Text: English
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      – SubjectFull: Medical research
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      – SubjectFull: Charts, diagrams, etc.
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      – TitleFull: Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls.
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            NameFull: Clayton, Tim C
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              Text: 5/11/2002
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              Y: 2002
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