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Department of Epidemiology and Biostatistics DESIGNING CLINICAL RESEARCH Session

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Department of Epidemiology and Biostatistics. DESIGNING CLINICAL RESEARCH. Session #1 ... Christian Apfel MD, PhD Anaesthesia. Heidi Bauer MD, MPH Public Health ... – PowerPoint PPT presentation

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Title: Department of Epidemiology and Biostatistics DESIGNING CLINICAL RESEARCH Session


1
Department of Epidemiology and Biostatistics
DESIGNING CLINICAL RESEARCHSession 1
  • About this course
  • Chapters 1 2
  • Examples

2
Course Objectives
  • 1. Acquire research skills
  • 2. Produce a protocol for a study
  • 3. Help others in the workshop
  • 4. Provide feedback on the workshop
  • 5. Have a multiplier effect

3
Course Ingredients
  • July 29- Lectures (900 - 950)
  • Sept 9 Selected issues from DCR 3 text
  • Sections (1000 - 1150)
  • Protocol components
  • More issues from the text
  • Sept 16 5-page protocols due
  • Oct 7, 14 Protocol review sessions
  • In pairs, new faculty

4
Types of Study
  • Not the best choice for this course
  • Mice, molecules without humans
  • Cost-effectiveness, meta-analysis
  • Secondary data analysis
  • Qualitative research
  • Ideal
  • A new observational study or clinical trial
    involving humans ( molecules) that you will do
    this year

5
Computer skills
  • You need to know how to
  • Word process, use Pubmed
  • Use a reference program such as Endnote
  • You can learn by
  • Getting a mentor or friend to show you
  • Taking a course in the UCSF Library

6
Certificate
  • For satisfactory performance in all 3 TICR Summer
    Workshop courses, including
  • Turning in your 5-page protocol on time
  • Turning in your ethics project on time
  • Turning in your career plan on time

7
Faculty for sections
  • Christian Apfel MD, PhD Anaesthesia
  • Heidi Bauer MD, MPH Public Health
  • Valerie Flaherman MD, MPH Pediatrics
  • Ari Green MD, MAS-CR Neurology
  • John Inadomi MD, MPH Gastroenterology
  • Steve Hulley MD, MPH Cardiovascular Epidemiology
  • Michael Kohn MD, MPP Emergency Medicine
  • Kathleen Liu MD, PhD, MAS-CR Nephrology/Pulm Crit
    Care
  • Chris Madsen MD, MPH Pediatrics
  • Mark Pletcher MD, MPH General Internal Medicine
  • Travis Porco PhD Mathematical Modeling
  • Joel Simon MD, MPH General Internal Medicine

8
Faculty for sections
  • Christian Apfel MD, PhD Clinical Research
    Methods
  • Heidi Bauer MD, MPH Clinical Research Methods
  • Valerie Flaherman MD, MPH Clinical Research
    Methods
  • Ari Green MD, MAS-CR Clinical Research Methods
  • John Inadomi MD, MPH Clinical Research Methods
  • Steve Hulley MD, MPH Clinical Research Methods
  • Michael Kohn MD, MPP Clinical Research Methods
  • Kathleen Liu MD, PhD, MAS-CR Clinical Research
    Methods
  • Chris Madsen MD, MPH Clinical Research Methods
  • Mark Pletcher MD, MPH Clinical Research Methods
  • Travis Porco PhD Clinical Research Methods
  • Joel Simon MD, MPH Clinical Research Methods

9
Course Coordinator
  • Olivia DeLeon
  • Olivia_at_epi.ucsf.edu
  • 514-8231 (tel)
  • 514-8150 (fax)
  • (Please let her know if your email address has
    changed by sending her an email)

10
Anatomy of research What its made of
  • Research question
  • Significance
  • Design
  • Subjects
  • Population
  • Sample
  • Variables
  • Predictor
  • Outcome

11
Physiology of research How it works
  • Using measurements in a sample
  • to draw inferences about
  • phenomena in a population

12
(No Transcript)
13
Hulleys Research Question (1993)
  • Should postmenopausal women receive hormones?
  • Subjects postmenopausal women
  • Predictor hormones
  • Outcome ?

14
Improved Research Question
  • Does estrogen treatment prevent
  • heart attacks in postmenopausal women?
  • Subjects postmenopausal women
  • Predictor estrogen treatment vs none
  • Outcome heart attacks

15
Is RQ FINER?
  • Feasible
  • Interesting
  • Novel
  • Ethical
  • Relevant

16
Is RQ FINER?
  • Need to specify the design
  • of the study

17
Designs
  • Observational study
  • Cohort
  • Cross-sectional
  • Case control
  • Randomized clinical trial
  • Surrogate endpoints
  • Endpoints of primary interest

18
Cohort design
  • Subjects
  • 5000 post-menopausal women living in the Bay Area
  • Predictor
  • Taking estrogen?
  • Outcome
  • Subsequent 5-year incidence of MI

19
Cross-sectional design
  • Subjects
  • 2000 PM women seen at SFGH
  • Predictor
  • Taking/took estrogen?
  • Outcome
  • History of MI?

20
Case-control design
  • Subjects
  • Cases 50 PM women with MI in the SFGH ED
  • Controls 50 PM women with trauma in the SFGH ED
  • Predictor
  • Taking/took post-menopausal estrogen?
  • Outcome
  • Cases vs controls

21
Observational Studies of Estrogen and CHD
  • Author (year) Relative risk
  • Lafferty (1985) 0.2
  • Sullivan (1990) 0.2
  • Hammond (1979) 0.3
  • Nachtigall (1979) 0.3
  • Stampfer (1991) 0.3
  • Bush (1987) 0.4
  • Pettiti (1987) 0.5
  • Grodstein (1996) 0.6
  • Henderson (1991) 0.7
  • Psaty (1994) 0.7
  • Wolf (1991) 0.7
  • Falkeborn (1992) 0.7
  • Criqui (1988) 1.0
  • Wilson (1985) 1.9
  • Combined 0.7

Barrett-Connor, Public Health Reviews, 1997
p lt .05
22
NB, when choosing a research question and design
  • Importance of thorough literature review and
    scholarship

23
Randomized blinded trial design Surrogate
outcomes
  • Subjects
  • 60 Post-menopausal women
  • Predictor
  • Randomized to estrogen vs placebo
  • Outcome 4 weeks later
  • LDL-C decreased by 10, plt.01
  • HDL-C increased by 10, plt.01

24
Randomized blinded trial designDisease event
outcomes
  • Subjects
  • Post-menopausal women
  • Predictor
  • Randomized to estrogen vs placebo
  • Outcome
  • Subsequent incidence of MI

25
Feasible?
  • Clinical trial of estrogen vs placebo to prevent
    MI/CHD death in 10,000 women with prior
    hysterectomy

26
More feasible
  • Secondary prevention trial of estrogen
    progestin vs placebo to prevent MI/CHD death in
    2500 women with a uterus and prior CHD
  • Participants willing, available in 20 centers
  • Wyeth-Ayerst willing to fund, with UCSF
    controlling the science

27
HERS trial(Heart and Estrogen/progestin
Replacement Study)
  • Subjects
  • 2763 women age lt 80 (mean age 67)
  • postmenopausal, with a uterus
  • documented coronary disease
  • Predictor
  • .625 mg Premarin 2.5 mg MPA (EP)
  • vs blinded placebo, randomly assigned
  • Outcome
  • 4-year rate of non-fatal MI and CHD death

28
Interesting?
29
(No Transcript)
30
Novel?
  • First randomized blinded trial with disease
    endpoints of whether estrogen treatment prevents
    CHD

31
Ethical?
  • Equipoise (uncertain whether benefits or harms
    predominate)
  • Benefits of hormone Rx
  • Reduce menopausal symptoms
  • ? Prevent CHD
  • ? Prevent fractures
  • ? Prevent Alzheimers Disease
  • ? Improve quality of life
  • Harms
  • ?Venous thrombo-embolism
  • ? Breast cancer

32
Relevant?
  • Premarin/Prempro 1 in sales
  • Decision faced by half the population

33
Please notice the changes in research question
  • Observational RQ
  • Is estrogen associated with heart attacks in
    postmenopausal women?
  • Intended clinical trial RQ
  • Does estrogen prevent CHD events in
    postmenopausal women?
  • HERS RQ
  • Does estrogen progestin prevent new CHD events
    in postmenopausal women with coronary disease?

34
HERS findings
Treatment Group
  • All primary
  • CHD events 290 293 .99 .99
  • Hulley et al JAMA 1998280605-13

E P
Placebo
RH p
35
Why the null CHD result?Three possibilities
  • 1. HERS got the wrong answer
  • 2. The observational and other studies got the
    wrong answer
  • 3. They answered different questions

36
1. HERS got the wrong answer
  • Random error?
  • Systematic error?

37
Random error?
Treatment Group
E P
Placebo
95 CI
RH
  • All primary
  • CHD events 290 293 .99 .84-1.17
  • Hulley et al JAMA 1998280605-13

38
HERS got the wrong answer Systematic error?
  • Randomization
  • Blinding
  • Co-intervention
  • Biased outcome ascertainment
  • Adherence to treatment
  • Loss to follow-up

39
2. The observational studies got the wrong answer
  • Random error?
  • Systematic error?
  • Confounding?

40
Confounding
  • Big problem in observational studies of drugs for
    preventive medicine
  • Women who take hormones are inherently healthier
  • Statistical adjustment is only a partial solution
  • Only a randomized trial can solve the problem

41
3. HERS answered a different question
  • Other populations more responsive?
  • Primary prevention earlier in menopause
  • Other interventions better benefit/harm ratio?
  • Estrogen only
  • Different E, different P
  • Lower doses

42
Three possibilities
  • Physiology
  • 1. HERS got the wrong answer
  • 2. The observational studies got the wrong
    answer
  • Anatomy
  • 3. They answered different questions

43
How to decide?
44
ReplicationThe primary prevention Womens
Health Initiative
  • WHI EP Trial
  • Subjects16,608 women with a uterus, mean age 63
  • Predictor EP vs placebo (as in HERS)
  • Outcome MI CHD death (as in HERS)
  • WHI Estrogen-only Trial
  • Subjects10,739 women with no uterus, mean age 64
  • Predictor E vs placebo
  • Outcome MI CHD death

45
Disease outcomes in HERS and WHI
RH (95 CI)
  • Outcome HERS EP WHI EP WHI E-alone
  • MICHD death 1.0 (0.8-1.2) 1.3 (1.0-1.6) 0.9
    (0.8-1.1)
  • Stroke 1.2 (0.9-1.7) 1.4 (1.1-1.8) 1.4 (1.1-1.8)
  • Pulm Embolism 2.1 (1.3-3.4) 2.1 (1.6-2.8) 1.3
    (0.9-2.1)
  • Breast cancer 1.3 (0.8-1.9) 1.3 (1.0-1.6) 0.8
    (0.6-1.0)
  • Hip fracture 1.1 (0.5-2.5) 0.7 (0.5-1.0) 0.6
    (0.4-0.9)
  • Dementia 2.0 (1.2-3.5) 1.5 (0.8-2.7)
  • Hulley, JAMA 20042911769 (editorial)
  • Schumaker, JAMA 20042912947

46
Ethical?
  • Equipoise (uncertain whether benefits or harms
    predominate)
  • Benefits of hormone Rx
  • Reduce menopausal symptoms
  • ? Prevent CHD
  • ? Prevent fractures
  • ? Prevent Alzheimers Disease
  • ? Improve quality of life
  • Harms
  • ?Venous thrombo-embolism
  • ? Breast cancer

47
Bottom lines
  • HERS did get the right answer
  • If properly designed and carried out,
  • experiments trump observational studies
  • Observational studies of drugs are often
    confounded
  • Practice guidelines on hormones after menopause
  • Do not use for prevention of CHD, dementia
  • This applies to any regimen, pending further
    trials
  • Can use for treating menopausal symptoms
  • Low dose, short duration

48
Annual Number of US Prescriptions for Hormone
Therapy
WHI
HERS
Hersh, JAMA 200429147
Source IMS Health NPA Plus
49
NB
  • HERS and WHI were very large studies.
  • How about something bite-sized?

50
The research cycle
Develop research question
Infer conclusions
Design study
Implement study
Analyze results
51
Next
52
One sentence describing anatomy of your study
  • Research question
  • Design
  • Subjects
  • Variables
  • Predictor
  • Outcome

53
FINER?
  • Feasible
  • Interesting
  • Novel
  • Ethical
  • Relevant
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