Statistical Issues in NDA 21239 Laura Lu, Ph.D FDA/CDER - PowerPoint PPT Presentation

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Statistical Issues in NDA 21239 Laura Lu, Ph.D FDA/CDER

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Improvement or stabilization in SLAM, SLEDAI, KFSS, Patient VAS (post-baseline ... SLAM no worse than 1. SLEDAI no worse than 0.5. KFSS no worse than 0.5 ... – PowerPoint PPT presentation

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Title: Statistical Issues in NDA 21239 Laura Lu, Ph.D FDA/CDER


1
Statistical Issues in NDA 21239 Laura Lu,
Ph.DFDA/CDER

2
Outline
  • ITT vs. Per-Protocol Analyses in Study 95-02
  • Definitions for A Responder in Study 95-02
  • Original Definition
  • Window Definition Proposed by Sponsor
  • Window Sensitivity Analysis
  • Subgroup Analysis in Patients with Baseline
    SLEDAIgt2

3
ITT vs. Per-Protocol Population in Study 95-02
  • ITT Population
  • Specified in the original protocol
  • All randomized patients
  • Per-Protocol Population
  • Proposed in a later submitted statistical plan
    (most patients had finished study)
  • Excluded drop-outs within the first 60 days

4
ITT Analysis
  • Preserves randomization---the base for valid
    statistical inference.
  • In general, avoids over estimation of treatment
    effect.

5
Sponsors Argument for Per-Protocol Analysis
  • Treatment needs at least 60 days to take into
    effect

6
Patient Disposition in Patients Excluded from ITT
Population
7
Validity of Per-Protocol Analysis?
  • Excluding early dropouts in the per-protocol
    analysis may bias conclusion--there are treatment
    related dropouts.

8
Original Definition for A Responder in Study
95-02
  • Improvement or stabilization in SLAM, SLEDAI,
    KFSS, Patient VAS (post-baseline weighted average
    of each score no worsening than the baseline
    score)
  • No clinical deterioration

9
Result for Responder Rate (ITT)
10
Later Proposed Window for Responder Definition
  • Compared with baseline, post-baseline weighted
    average for
  • SLAM no worse than 1
  • SLEDAI no worse than 0.5
  • KFSS no worse than 0.5
  • Patient VAS no worse than 10
  • No clinical deterioration

11
Window Definition by Percent of Change from
Baseline
  • For example, a -5 window definition for a
    responder is
  • 1) weighted average for each of SLAM, SLEDAI,
    KFSS and Patient VAS no worse than 5 from
    baseline
  • 2) no clinical deterioration

12

13
Sensitivity of Responder Rate to Window
Definition
  • The numerical trend of responder rates in
    treatment groups is sensitive to whether
    worsening is allowed in the responder definition.

14
Subgroup Analysis in Patients with Baseline
SLEDAIgt2
  • Study 94-01 Hypothesis Generating
  • Study 95-02 Specified in Protocol Amendment

15
Results in Study 94-01
Responder Rate
16
Results in Study 94-01 (cont.)
Percent Change from Baseline in Prednisone Dose
in Baseline SLEDAIgt2 Group
17
Results in Study 95-02
Responder Rate (original definition, ITT
population)
18
Results in Baseline SLEDAIgt2 Group
  • In Study 94-01, the results of primary
    endpoints were not consistent in baseline
    SLEDAIgt2 group.
  • Numerical advantage in responder rate
  • no advantage in mean percent change in prednisone
    dose

19
Results in Baseline SLEDAIgt2 Group
  • In Study 95-02, DHEA showed numerical
    advantage over placebo in responder rate in
    patients with baseline SLEDAIgt2. Statistical
    significance was not demonstrated by ITT analysis
    with original definition (p0.17). A small
    p-value (0.005) was found by per-protocol
    analysis with a window definition.

20
Question
  • Are additional studies needed for the baseline
    SLEDAIgt2 group to support an efficacy claim?

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