ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2013
The risky reliance on small surrogate endpoint studies when planning a large prevention trial.
Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Simple Methods for Evaluating 4 Types of Biomarkers: Surrogate Endpoint, Prognostic, Predictive, and Cancer Screening.Biomarker insights · 2020Review
- Five criteria for using a surrogate endpoint to predict treatment effect based on data from multiple previous trials.Statistics in medicine · 2018Article
- Latent class instrumental variables: a clinical and biostatistical perspective.Statistics in medicine · 2016Article
- Evaluating surrogate endpoints, prognostic markers, and predictive markers: Some simple themes.Clinical trials (London, England) · 2015Article
- Surrogate endpoint analysis: an exercise in extrapolation.Journal of the National Cancer Institute · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.