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Slide 1: Surrogate Endpoint Definition and Application: Aspects of the
Observational Study and Clinical Trial Interface
Ross Prentice
Fred Hutchinson Cancer Research Center
- Surrogate outcome definition and concepts
- Role of intermediate outcome trials in hypothesis generation and
development
- A lesson from observational studies and clinical trials of
postmenopausal hormone therapy and cardiovascular disease
Slide 2: Surrogate Endpoint Definition and Concepts
T - time to response 'true' endpoint
{S(t); t > 0} - S(t) is history prior to follow-up time t of
surrogate outcome process
x - treatment indicator vector
When can S replace T for evaluation of effects of x on T?
Define S to be a surrogate for T in respect to x if:
T independent of x <=> S independent of x
(Prentice, 1989, Statist in Med)
Slide 3: (Page of equations)
Slide 4:
- Principal point of developing these criteria is to document the very
restrictive conditions under which study of the relationship between S and x
provides valid information on association between T and x.
- Criterion 1 is highly restrictive, and may require S to be of high
dimension to be plausible.
- Criterion 1 can never be fully established empirically, but rather
requires justification on biological or mechanistic grounds.
- Even if one argues that (i) - (iii) are plausible, a short-term study
with S as principal outcome variable may be poorly suited to this assessment of
the overall benefits versus risks of x.
Slide 5: Meta analytic Approach
Another approach to the use of a short-term S in place of a 'true'
outcome T involves exploiting a correlation between T versus x treatment effect
parameters with S versus x treatment effect parameters in prior studies of
similar treatments in similar populations
- Doesn't require the strong condition (i) above to hold
- Involves joint modeling of the joint distribution of T and S, given
x
- Involves decisions about similarity of treatment and study
populations
- May be few situations where prior studies meeting reasonable criteria
exist, while relationship between T and x is in doubt?
Slide 6: Role of 'Intermediate' Outcome Trials in Hypothesis Generation
and Development
- Even though intermediate outcomes S may rarely be able to replace a
study of T in assessing the effects of a treatment or intervention, trials of
well-selected outcomes S in relation to X are Fundamental to the
development and screening of preventive interventions.
- Preventive hypotheses mainly arise from observational studies
(specificity? bias?); or from therapeutic trials (timing? relevance?)
- New technologies (e.g., genomics, proteomics) have potential to allow
intermediate outcome trials (e.g., human feeding trials, exercise intervention
trials) to be increasingly comprehensive and informative.
- Need for trans-NIH forum to encourage such trials and to
identify/prioritize interventions that may be appropriate for full-scale trial
evaluations.
Slide 7: A Lesson from Combined Postmenopausal Hormone Therapy and
Cardiovascular Disease
Women's Health Initiative study of estrogen plus progestin among
postmenopausal women in the age range 50-79 at baseline (table)
Slide 8: Summary
- Surrogate outcomes rarely available that can provide definitive
information about 'true' endpoints of interest in respect to treatment
effects
- Intermediate outcome trials becoming practical that can greatly
invigorate preventive intervention research agenda
- Situations where both RCT and observational data are available
provide excellent opportunities to identify and address study design and
analysis issues, and avoid the promulgation of inaccurate public health
information.
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