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1
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- 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
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2
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- 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)
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3
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4
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5
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6
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- 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.
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7
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- Women’s Health Initiative study of estrogen plus progestin among
postmenopausal women in the age range 50-79 at baseline
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CT OS
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Age-adj
Age-adj
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Placebo E+P HR Control E+P HR
- Number of women 8102
8506 35,551 17,503
- Number of events:
- CHD 147
188 1.21
615 158 0.71
- Stroke 107
151 1.33 490 123 0.77
- VT 76
167 2.10 336 153 1.06
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8
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- 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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