Subgroup analysis: trying to get m ore from less? Stephen Senn - - PowerPoint PPT Presentation

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Subgroup analysis: trying to get m ore from less? Stephen Senn - - PowerPoint PPT Presentation

Subgroup analysis: trying to get m ore from less? Stephen Senn Geert Molenberghs* Franz Koenig Ralf-Dieter Hilgers FP7 HEALTH 2013 - 602552 1 Consider this trial Insert Text This is a perfectly behaved trial. The point estimate is


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SLIDE 1

Subgroup analysis: trying to get m ore from less?

Stephen Senn Geert Molenberghs* Franz Koenig Ralf-Dieter Hilgers

FP7 HEALTH 2013 - 602552 1

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SLIDE 2

Consider this trial

  • Insert Text

FP7 HEALTH 2013 - 602552 2

This is a perfectly behaved trial. The point estimate is identical for the two groups and the

  • verall P-value is 0.01.

Despite that, it is impossible for the P-value in both groups to be less than 0.05.

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SLIDE 3

I nsert Title

Insert Text

FP7 HEALTH 2013 - 602552 3

80% power overall In each sub-group the true treatment effect is identically equal to the clinically relevant difference

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Practical Considerations

  • There is an opportunity cost in pursuing proof of

sub-group benefit

  • Trials would have to larger
  • Proving effects in subgroups would then compete

for patients and finance with other drug development programmes

  • The question is as to whether this is a sensible

use of resources

  • In many cases the priorities, for society, patients

and sponsors would be to research new treatments rather than dot the “i”s and cross the “t”s of existing ones

FP7 HEALTH 2013 - 602552 4

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Tw o extrem e different sub-group cases

  • A few large

subgroups

  • Fixed effect approaches

would be the norm – For example, testing treatment by sub-group interaction

  • However, expectations, of

what can be shown should be small

  • Proof of efficacy by

subgroup not realistic

  • Many sm all

subgroups

  • It may be possible to

analyse these using a random effects model

  • Some general impression
  • f variability between

subgroups may be

  • btained
  • Does this exceed chance

levels?

FP7 HEALTH 2013 - 602552 5

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SLIDE 6

FP7 HEALTH 2013 - 602552 6

0.0 0.4 0.8 1.2

standard error

  • 2
  • 1

1 2 3 4

log-odds ratio

31 Placebo-Controlled Trials of Cimetidine

Significant (Yates) Not-significant Upper control limit Lower control limit significance boundary

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SLIDE 7

Tw o different cases in drug developm ent

  • A substantial

average benefit is proven

  • It would be illogical to

require efficacy in subgroups for registration

  • To do so would require

future patients to take an existing treatment that was on average worse, simply because the new treatment had not been shown to be of benefit to all

  • Non-inferiority

( only) is show n

  • Here there is not

necessarily any great loss in patients continuing to use existing therapy

  • Further regulatory

assurance that certain groups of patients would not lose by switching might be reasonable

FP7 HEALTH 2013 - 602552 7

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Conclusion

  • Failure to provide convincing proof of efficacy in

subgroups is the norm

  • Clinical trials would have to be much larger for

this not to be the case

  • Furthermore, as the number of possible sub-

groups increases the probability of a spurious ‘effect-reversal’ increases

  • It is necessary to be realistic and modest in one’s

ambitions

  • Regulators should not demand and should not

generally expect proof of efficacy in sub-groups

  • The priorities in drug-development lie elsewhere

FP7 HEALTH 2013 - 602552 8

This project has received funding from the European Union’s 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552