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      Surrogate endpoints in clinical trials: Definition and operational criteria

      Statistics in Medicine
      Wiley

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          Abstract

          I discuss the idea of using surrogate endpoints in the context of clinical trials to compare two or more treatments or interventions in respect to some 'true' endpoint, typically a disease occurrence. In order that treatment comparison based on a surrogate response variable have a meaningful implication for the corresponding true endpoint treatment comparison, a rather restrictive criterion is proposed for use of the adjective 'surrogate'. Specifically, I propose that a surrogate for a true endpoint yield a valid test of the null hypothesis of no association between treatment and the true response. This criterion essentially requires the surrogate variable to 'capture' any relationship between the treatment and the true endpoint, a notion that can be operationalized by requiring the true endpoint rate at any follow-up time to be independent of treatment, given the preceding history of the surrogate variable. I then discuss this operational criterion in the examples of the accompanying papers and in the setting of trials aimed at the primary and secondary prevention of cancer.

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          Most cited references5

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          Multiple Risk Factor Intervention Trial

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            Mutation and Cancer: A Model for Human Carcinogenesis2

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              Surrogate endpoints in clinical trials: cardiovascular diseases.

              A surrogate endpoint in a cardiovascular clinical trial is defined as endpoint measured in lieu of some other so-called 'true' endpoint. A surrogate is especially useful if it is easily measured and highly correlated with the true endpoint. Often the 'true' endpoint is one with clinical importance to the patient, for example, mortality or a major clinical outcome, while a surrogate is one biologically closer to the process of disease, for example, ejection fraction. Use of the surrogate can often lead to dramatic reductions in sample size and much shorter studies than use of the true endpoint. We discuss several problems common in trials with surrogate endpoints. Most important is the effect of missing data, especially in the face of informative censoring. Possible solutions are the assignment of scores or formal penalties to missing data.
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                Author and article information

                Journal
                Statistics in Medicine
                Statist. Med.
                Wiley
                02776715
                10970258
                April 1989
                April 1989
                : 8
                : 4
                : 431-440
                Article
                10.1002/sim.4780080407
                2727467
                4c8f448e-5592-48a0-a25d-12bbb434af02
                © 1989

                http://doi.wiley.com/10.1002/tdm_license_1.1

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