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03.11.2011
1
Holger Schünemann, MD, PhD Chair and Professor, Department of Clinical Epidemiology & BiostatisticsProfessor of MedicineMichael Gent Chair in Healthcare ResearchMcMaster University, Hamilton, Canada
Evidence-based medicine
Tartu UniversityOctober 14, 2011
Disclosure
• Co-chair GRADE Working Group
• Work with various guideline groups using GRADE
– American College of Physicians (ACP) Clinical Practice
Guidelines Committee
– American College of Chest Physicians (ACCP)
• World Health Organization: Advisory Committee for
Health Research, Expert Advisory Panel on Clinical
Practice Guidelines and Clinical Research Methods and
Ethics & Chair of various guideline panels; funding for
guideline development
• No direct/personal for profit payments
03.11.2011
2
Today’s presentation
Brief history and
context of EBM
Evidence based
decision making
Evidence to action =
recommendations
Today’s presentation
Brief history and
context of EBM
Evidence based
decision making
Evidence to action =
recommendations
03.11.2011
3
History
- 1967 – Founded by David Sackett
- 6 chairs since
- Instrumental in specialty of Clinical
Epidemiology, INCLEN
- Birthplace of “Evidence-Based Medicine”
People
45 full time and joint faculty
~ 120 associate & part time faculty; 19 emeritus
~ 180 staff
~ 200 PhD and Master students
Faculty of Health Sciences amongst top 50 in the world
The Department of Clinical
Epidemiology & Biostatistics at McMaster
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Questions and answers
Let’s go back in time. You are in high school. The teacher asks a question and you do not know the answer.
What are you feeling?
– fear
– resentment
– shame
– anger
How do you react?
– avoid eye contact
– answer a different question
– guess
– answer: I do not know!
Questions and answers
Let’s try again…You are a resident (physician in
training). You are asking the attending physician
(consultant) a question…
– What is the attending feeling?
– How will s/he react?
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Message
As much as EBM is about asking
questions, to practice it we need to look
at our attitudes when responding!
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No
t M
en
tio
ne
d
Ro
uti
ne
Ex
pe
rim
en
tal
Ra
re/N
eve
r
Sp
ec
ific
Textbook/ReviewRecommendations
0.5 1.0 2.0
Favors Treatment Favors Control
P < 0.01
P < 0.001
P < 0.00001
21
5
1 10
1 2
2 8
7
8
1 12
1 8 4
1 7 3
5 2 2 1
15 8 1
6 1
2121
55
11 1010
11 22
22 88
77
88
11 1212
11 88 44
11 77 33
55 22 22 11
1515 88 11
66 11M
M
M
M
M
M
Year RCTs
1960 1
2
1965 3
1970 4
7
10
11
15
17
22
1980 23
27
1985 30
33
43
54
65
1990 67
70
YearYear RCTsRCTs
19601960 11
22
19651965 33
19701970 44
77
1010
1111
1515
1717
2222
19801980 2323
2727
19851985 3030
3333
4343
5454
6565
19901990 6767
7070
Pts
23
65
149
316
1763
2544
2651
3311
3929
5452
5767
6125
6346
6571
21059
22051
47185
47531
48154
PtsPts
2323
6565
149149
316316
17631763
25442544
26512651
33113311
39293929
54525452
57675767
61256125
63466346
65716571
2105921059
2205122051
4718547185
4753147531
4815448154
Cumulative Odds Ratio (Log Scale)
Why EBM?Thrombolysis in Myocardial infarction
Antman et al., JAMA, 1992; 268: 240-248
Why EBM
Lau et al., NEJM, 1992
Line of identity/null
effect
Summary point
estimate
Point estimateConfidence
interval
After > 5000 pts
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Why EBM?Lidocaine in Myocardial infarction
Antman et al., JAMA, 1992; 268: 240-248
Precise and bias free?Beta-blockers in Myocardial infarction
Antman et al., JAMA, 1992
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Where did “EBM” come from?
• Alvan Feinstein
• David Sackett– Critical appraisal
– Bringing critical appraisal to the bedside
• Gordon Guyatt (McMaster residency program)– Users’ Guide to the Medical Literature
• Brian Haynes
– ACP Journal Club
– Search strategies (Pubmed)
Evidence Based Health Care
The conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients. The practice of evidence-based medicine requires integration of individual clinical expertise and patient preferences with the best available external clinical evidence from systematic research.
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Today’s presentation
Brief history and
context of EBM
Evidence based
decision making
Evidence to action =
recommendations
Evidence based healthcare
decisions
Research evidence
Population/societalvaluesand preferences
(Clinical) state and circumstances
Expertise
Haynes et al. 2002
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Your patient…as an
internist
• 68 year old man with hypertension and non-
valvular atrial fibrillation > 3 months
Atrial Fibrillation - Stroke
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Your patient…as an
internist
• 68 year old man with hypertension and non-
valvular atrial fibrillation > 3 months
– diabetes
– large left atrium (→ cardioversion unlikely to be successful)
– no history of strokes or transient ischemic attacks (TIAs)
• Afraid of having a stroke
The clinically sensible question
Population: Does in patients with atrial fibrillation
Intervention: oral anticoagulation (comparison) compared with no therapy
Outcomes: reduce the risk for embolic stroke, increase the risk for bleeding, increase burden…?
PICO
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Risk factors for stroke with NVAF
CHADS2 score for assessment of stroke risk in patients with non-rheumatic AF
Risk factor Points
Recent Congestive heart failure
exacerbation 1
History of Hypertension 1
Age 75 years or older 1
Diabetes 1
Prior history of Stroke or TIA 2
Risk factors for stroke with NVAF
CHADS2 score for assessment of stroke risk in patients with non-rheumatic AF
Risk factor Points
Recent Congestive heart failure
exacerbation 1
History of Hypertension 1
Age 75 years or older 1
Diabetes 1
Prior history of Stroke or TIA 2
CHADS = 2
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Evidence concerning NVAF and
stroke*• Risk of stroke if untreated (CHADS =2):
45/1000 per year
• Relative Risk Reduction for stroke
– Warfarin: 0.64 (95%CI 0.51-0.77)
• RRI for major bleeding
– Warfarin: 2.58 (95%CI 1.12-5.97)
* Pooled estimates of treatment effect in this evidence profile are from a meta-analysis conducted for these guidelines, including data from 6 RCTs of adjusted-dose vitamin K antagonist therapy versus no antithrombotic therapy (AFASAK I, BAATAF, CAFA, EAFT, SPAF I, SPINAFPhysician accuracy in estimating risk: no better than chance…
Primum non nocere
“Primum non net nocere”
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Balancing desirable and undesirable
consequences
↑ burden ↑ resources
↑ dietary restriction
↑ bleeding
↑ QoL ↓ stroke
↓ Morbidity
↑ survival
For Against
For Against
Balancing desirable and undesirable
consequences
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For Against
Balancing desirable and undesirable
consequences
Summary from the practitioner’s
perspective for this patient
• must anticoagulate 100 people with NVAF
for 1 year to prevent 3 strokes per year
(30 fewer per 1000 or NNT of 33)
• for 100 anticoagulated patients in the
community, this will cause 1 additional
people to have a major bleed per year
(8 more per 1000 or NNT of 125)
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Summary from this patient’s
perspective
• If you take anticoagulants
– your risk of stroke in the coming year will
decrease from 4.5% to 1.5% per year
but
– your risk of having a major bleed will increase
from 0.5% to 1% per year
How are you going to make a
decision?
1. Parental model
– Offer and administer medication (VKA)
2. Shared decision
– Obtain values, encourage patient to try
medication
3. Informed decision
– Inform patient about stroke reduction, bleeding,
hassle
– Patient chooses
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Warfarin (vitamin K antagonist)
RRR for stroke =
66%
(95% CI 51 to 77%)
CHADS 0 points (no HTN, no diabetes)
8 per 1000
5 fewer strokes per 1000
(from 4 fewer to 6 fewer)
CHADS 1 point (HTN, no diabetes)
22 per 1000 15 fewer strokes per 1000
(from 11 fewer to 17 fewer)
CHADS 2 points
45 per 1000 30 fewer strokes per 1000
(from 23 fewer to 35 fewer)
CHADS 3 to 6 points
96 per 1000 63 fewer strokes per 1000
(from 49 fewer to 74 fewer)
RRI for EC bleed =
158%
(95% CI 12 to 497%)
5 per 1000 8 8 more bleeds per 1000
(from 1 more to 25 more)
Physician and patient
mean bleeding thresholds for warfarin*
• Baseline risk of 12 strokes and 3 major bleeds in 100 patients over 2 years
• Given warfarin would decrease the risk of stroke to 4 in 100 patients, the authors determined the maximum number of excess bleeds that participants were willing to accept
Physician mean
threshold
Patient mean
threshold P value
Maximum
increase in
bleeding risk
acceptable
10.3 17.4 <0.001
* Devereaux et al, BMJ 2001; 323:1218-22
03.11.2011
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0
5
10
15
20
25
30
35
40
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
NU
MB
ER O
F P
HYS
ICIA
NS/
PATI
ENTS
MAXIMUM NUMBER OF ACCEPTABLE EXCESS BLEEDS
Physicians N=63
Patients N=61
Physician and patient mean bleeding
thresholds for warfarin*
Detection of patient’s actions
Doctors’ judgements of their patients’
adherence:
• sensitivity 10%
• specificity 88%
• Gilbert et al, CMAJ 1980
• Physician accuracy in estimating
compliance: no better than chance…
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Eliciting and incorporating
preferences
• Qualitative
– discussion with patient
• Quantitative
– likelihood of help vs. harm
– decision analytic modeling
• standard gamble
• time trade-off
• visual analog scale
– probability trade off technique
Today’s presentation
Brief history and
context of EBM
Evidence based
decision making
Evidence to action =
recommendations
03.11.2011
20
From Idea to Practice
Glasziou and Haynes, ACP JC
Many “Leaks” from research &
practice
Aware Accept Target Doable Recall Agree Done
Valid
Research
If 80% achieved at each stage then
0.8 x 0.8 x 0.8 x 0.8 x 0.8 x 0.8 x 0.8 = 0.21 of the time would patients
receive intervention
03.11.2011
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What are your options to obtain the
evidence and make evidence based
decisions about anticoagulation in
stroke?Consult a textbook
Remember what you read in the journals
Look for trials on Pubmed/Medline
Look for a systematic review
Look for a pre-appraised summary
Look for a guideline
What is a guideline?
• "Guidelines are recommendations intended to assist providers and recipients of health care and other stakeholders to make informed decisions.Recommendations may relate to clinical interventions, public health activities, or government policies."
WHO 2003, 2007
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Clinical Practice Guidelines
…are a result of the desire:
• of healthcare workers to offer and of patients to receive the best possible care
• to make care more efficient and consistent by bridging the gap between what clinicians do and what the evidence shows
S. Weingarten. Hospital Medicine 2005
“Practice guidelines … have been demonstrated to improve patient outcomes and lower cost”
S. Weingarten. Hospital Medicine 2005
…be based on sound scientific evidence and
implemented in an effective manner
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Which approach?
Evidence Recommendation
• B Class I
• A 1
• IV C
Organization
� AHA
� ACCP
� SIGN
Recommendation for use of oral anticoagulation in patients with atrial fibrillation and rheumatic mitral valve disease
What to do?
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Hierarchy of evidencebased on quality
STUDY DESIGN
� Randomized Controlled
Trials
� Cohort Studies and Case
Control Studies
� Case Reports and Case
Series, Non-systematic
observations
� Expert Opinion
BIAS
BMJ 2003
BMJ, 2003
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BMJ 2003Relative risk reduction:
….> 99.9 % (1/100,000)
U.S. Parachute Association
reported 821 injuries and 18
deaths out of 2.2 million jumps
in 2007
Simple hierarchies are
(too) simplistic
STUDY DESIGN
� Randomized Controlled
Trials
� Cohort Studies and Case
Control Studies
� Case Reports and Case
Series, Non-systematic
observations
BIAS
Expert Opinion
Exp
ert O
pin
ion
Schünemann & Bone, 2003
03.11.2011
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GRADE Working Group
Grades of Recommendation
Assessment, Development and
Evaluation
CMAJ 2003, BMJ 2004, BMC 2004, BMC 2005, AJRCCM 2006, Chest 2006, BMJ 2008
Aim: to develop a common,
transparent and sensible system for
grading the quality of evidence and
the strength of recommendations
- Since 2000
- Guideline
developers,
methodologists &
clinicians from
around the world
(> 260)
GRADE Uptake� World Health Organization� Allergic Rhinitis in Asthma Guidelines (ARIA) � American Thoracic Society � American College of Physicians� European Respiratory Society� European Society of Thoracic Surgeons� British Medical Journal� Infectious Disease Society of America � American College of Chest Physicians � UpToDate® � National Institutes of Health and Clinical Excellence (NICE)� Scottish Intercollegiate Guideline Network (SIGN)� Cochrane Collaboration � Infectious Disease Society of America� Clinical Evidence � Agency for Health Care Research and Quality (AHRQ)� Partner of GIN� Over 60 major organizations
03.11.2011
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GRADE: recommendations & quality
of (a body of)evidenceClear separation, but judgments required:
1) Recommendation: 2 grades – conditional (aka weak) or strong (for or against an action)?– Balance of benefits and downsides, values and
preferences, resource use and quality of evidence
2) 4 categories of quality of evidence: ⊕⊕⊕⊕ (High), ⊕⊕⊕�(Moderate), ⊕⊕��(Low), ⊕���(Very low)?
– methodological quality of evidence– likelihood of bias related to recommendation– by outcome and across outcomes
*www.GradeWorking-Group.org
Likelihood
of and
confidence
in an
outcome
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Determinants of quality
• RCTs ⊕⊕⊕⊕
• observational studies ⊕⊕��
• 5 factors that can lower quality1. limitations in detailed design and execution (risk of bias criteria)
2. Inconsistency (or heterogeneity)3. Indirectness (PICO and applicability)4. Imprecision (number of events and confidence intervals)
5. Publication bias
• 3 factors can increase quality1. large magnitude of effect2. plausible residual bias or confounding3. dose-response gradient
↑ burden ↑ resources
↑ dietary restriction
↑ bleeding
↑ QoL ↓ stroke
↓ Morbidity
↑ survival
Conditional
Strong For Against
Balancing desirable and undesirable
consequences
03.11.2011
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Conditional
Strong For Against
Balancing desirable and undesirable
consequences
Conditional
Strong For Against
Balancing desirable and undesirable
consequences
03.11.2011
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Balancing desirable and undesirable
consequences
Conditional
Strong For Against
Balancing desirable and undesirable
consequences
Conditional
Strong For Against
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Criteria for when
we do not need
RCTs
How to elicit and
integrate Values
and Preferences
Guideline
development
Information
presentation
Summary
• Evidence based practice is required for
delivering appropriate care
• Basic skills help understanding and
communicating with patients
• Leaky pipeline from evidence to practice
• Guidelines one way to support decision
makers
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