Literature DB >> 23565041

The risky reliance on small surrogate endpoint studies when planning a large prevention trial.

Stuart G Baker1, Barnett S Kramer.   

Abstract

The definitive evaluation of treatment to prevent a chronic disease with low incidence in middle age, such as cancer or cardiovascular disease, requires a trial with a large sample size of perhaps 20,000 or more. To help decide whether to implement a large true endpoint trial, investigators first typically estimate the effect of treatment on a surrogate endpoint in a trial with a greatly reduced sample size of perhaps 200 subjects. If investigators reject the null hypothesis of no treatment effect in the surrogate endpoint trial they implicitly assume they would likely correctly reject the null hypothesis of no treatment effect for the true endpoint. Surrogate endpoint trials are generally designed with adequate power to detect an effect of treatment on surrogate endpoint. However, we show that a small surrogate endpoint trial is more likely than a large surrogate endpoint trial to give a misleading conclusion about the beneficial effect of treatment on true endpoint, which can lead to a faulty (and costly) decision about implementing a large true endpoint prevention trial. If a small surrogate endpoint trial rejects the null hypothesis of no treatment effect, an intermediate-sized surrogate endpoint trial could be a useful next step in the decision-making process for launching a large true endpoint prevention trial.

Entities:  

Keywords:  Cancer prevention; Cardiovascular disease; Prentice criterion; Principal stratification; Sample size calculation; Surrogate endpoint

Year:  2012        PMID: 23565041      PMCID: PMC3616635          DOI: 10.1111/j.1467-985X.2012.01052.x

Source DB:  PubMed          Journal:  J R Stat Soc Ser A Stat Soc        ISSN: 0964-1998            Impact factor:   2.483


  14 in total

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Review 5.  The Biomarker-Surrogacy Evaluation Schema: a review of the biomarker-surrogate literature and a proposal for a criterion-based, quantitative, multidimensional hierarchical levels of evidence schema for evaluating the status of biomarkers as surrogate endpoints.

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Authors:  R L Prentice
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Authors:  S G Baker; K S Lindeman
Journal:  Stat Med       Date:  1994-11-15       Impact factor: 2.373

9.  A randomized phase IIb trial of pulmicort turbuhaler (budesonide) in people with dysplasia of the bronchial epithelium.

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10.  The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers.

Authors: 
Journal:  N Engl J Med       Date:  1994-04-14       Impact factor: 91.245

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2.  Five criteria for using a surrogate endpoint to predict treatment effect based on data from multiple previous trials.

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3.  Evaluating surrogate endpoints, prognostic markers, and predictive markers: Some simple themes.

Authors:  Stuart G Baker; Barnett S Kramer
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4.  Latent class instrumental variables: a clinical and biostatistical perspective.

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  4 in total

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