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Transcript of Introduction to evidence-based health science: lessons from medicine Joseph Lau, MD September 19,...
Introduction to evidence-based health science: lessons from medicine
Joseph Lau, MD
September 19, 2011
To be covered
• The arrival of an evidence-based world• Impetus for and a very brief overview of
systematic review (SR) and meta-analysis• An example of a SR to inform pubic health
policy: dietary reference intakes for calcium and vitamin D
• A very brief history and current status of SR in medicine
• ? Lessons to learn for conservation medicine
The Year in IdeasNew York Times Magazine 12/9/2001
Editors and writers included “80 ideas that shook the world (or at least jostled it a little) in 2001 . . .”
Covered: politics, medicine, sports, business, fashion, warfare, . . .
Under medicine: – Evidence-Based Medicine– Pharmacogenomics– Global antiretroviralism– Telesurgery– Turning a bad drug good
Evidence-based health care is the conscientious use of current best evidence in making decisions about the care of individual patients or the delivery of health services. Current best evidence is up-to-date information from relevant, valid research about the effects of different forms of health care, the potential for harm from exposure to particular agents, the accuracy of diagnostic tests, and the predictive power of prognostic factors.
Sackett et al. BMJ 1996
Conventional paradigm for medical practice and education
• See one
• Do one
• Teach one
Google – September 6, 2011
“evidence-based” 22,400,000“evidence-based medicine” 5,000,000“evidence-based practice” 4,030,000“evidence-based nursing” 740,000“evidence-based healthcare” 377,000“evidence-based surgery” 47,400“evidence-based nutrition” 506,000“evidence-based veterinary medicine” 248,000“evidence-based conservation” 121,000“evidence-based ecology” 4,330“evidence-based conservation medicine” 0
“evidence-based management” 5,090,000“evidence-based social” 1,900,000“evidence-based education” 121,000“evidence-based marketing” 505,000“evidence-based politics” 32,900
“clinical practice guideline” 2,560,000”systematic review” 3,210,000“meta-analysis” 18,400,000
The weight of medical knowledgeDavid T. Durack, M.B., D. Phil.; NEJM 1978
Weight of the Index Medicus According to 10-Year Periods from 1879 to 1977
Medical Junk Mail. Montauk L. Lancet 2000;356:344.
Emergency MedicineSan Francisco, USA
Jan 1, 1999 - Dec 31, 1999
122 kg, 2 m high
Lots of studies doesn’t necessarily translate to lots of clinically useful evidence
The Medical Review Articles: State of the Science Mulrow C. Ann Intern Med 1987; 106:485-8.Review of 50 Review Articles in four popular clinical journals over12 months June 1985 - June 1986 (Ann Intern Med, Arch Intern Med, JAMA, NEJM)
Criteria Specified Unclear Not Specified
Purpose 40 1 9
Data Identification 1 2 47
Data Selection 1 0 49
Validity Assessment 1 1 48
Qualitative Synthesis 43 0 7
Quantitative Synthesis 3 1 46
Summary 37 12 1
Future Directive 21 4 25
How health care varies by regionUSA Today, Tuesday, September 19, 2000, 9D
How health care varies by regionUSA Today, Tuesday, September 19, 2000, 9D
Percentage of acute otitis media patients given antibiotics
Figure taken from Froom J et al. Diagnosis and antibiotic treatment of acute otitis media: report from International Primary Care Network. BMJ 1990;300:582-6.
The Importance of Beta, the Type II Error and
Sample Size in the Design and Interpretation of the
Randomized Control Trial
Survey of 71 “Negative” Trials
Freiman JA, Chalmers TC, Smith H Jr, Kuebler R. N Engl J Med 1978;
299:690-4.
Study 1
Study 2
Study 3
Study 4
Cumulative M-A 1
Cumulative M-A 2
Cumulative M-A 3
Pool Studies 1 to 2
Basic Concept of Cumulative Meta-AnalysisStudies ordered
chronologically orby covariates
Pool Studies 1 to 4
Pool Studies 1 to 3
Study n-1 Cumulative M-A n-2
Study n Cumulative M-A n-1 Pool Studies 1 to n
Pool Studies 1 to n-1
Lau J, et al. NEJM 1992
The research of many commentators have already thrown much darkness on this subject, and it is probable that, if they continue, we shall soon know nothing at all about it.
Mark Twain
Summary: why we need systematic reviews and meta-analyses?
• Too much information for practitioners (including domain experts) to keep up and synthesize
• Clinicians and researchers need reliable information; narrative review articles and textbooks often are outdated and biased
• Information of variable quality and reliability, practitioners lack training to evaluate and synthesize research findings
• Studies examined individually offer only partial answers (the whole is greater than the sum of its parts)
• Need for update• Identify research gaps
QUESTION
?
ANSWER
!
Systematic Review
Question refinement
Study identification
Study selection
Data extraction
Quality assessment/
critical appraisal
Data synthesis / meta-analysis
Interpretation
Principles of systematic review
• Prospective research on published data• Reproducible, transparent (clear and thorough
documentation)• Rigorous, take steps to minimize bias and
errors• Involve stakeholders when feasible• When possible, the practice of EBM should be
based on evidence (use practices that are supported by empirical data)
• Caveat: many current methods are evolving
General methods of systematic review• Develop analytic framework• Formulate answerable research question(s) • Specify review criteria
– Participants– Intervention– Comparison– Outcomes
• Identify relevant studies• Take measures to minimize bias; assess potential biases• Synthesize results (qualitative, quantitative [meta-analysis])• Appropriate handling of heterogeneity and interpretation of
results• Identify research gaps
Vitamin D and Calcium: A Systematic Review of Health Outcomes
Tufts Evidence-based Practice Center
August 4, 2009Information Gathering Workshop
Committee to Review DRI for Vitamin D and Calcium
29
Analytic Framework• Relevant questions can be formulated into a
model that analyzes all effects and interactions between intervention or exposure and outcomes; to appreciate relationships of the questions
• Can be used to clarify and generate questions (topics)
• Can highlight what aspects are known and unknown
• Can clarify what study designs may be best to address specific questions
Analytic Framework for Vitamin D and/or Calcium Health Outcomes
Hypertension
BMD, BMC25(OH)D; 1,25(OH)D
Calcium balance
Bone health
CVD
Cancer
Muscle Function
Cancer markers
Blood Pressure
UV exposure
Calcium
Foods & supplements
Arrow 1
Arrow 2
Arrow 2
Arrow 3Arrow 4 Arrow 5
Arrow 5
Arrow 6
Arrow 6
Immune Outcomes
Breast milk or infant circulating levels
Vitamin D2,D3,
25(OH)D
Pregnancy Outcomes
All cause mortality
Body weight, BMI; Growth
Key Question 1. What is the effect of vitamin D, calcium, or combined vitamin D and calcium intakes on clinical outcomes, including growth, cardiovascular diseases, weight outcomes, cancer, immune function, pregnancy or birth outcomes, mortality, fracture, renal outcomes, and soft tissue calcification?
Key Question 2. What is the effect of vitamin D, calcium or combined vitamin D and calcium intakes on surrogate or intermediate outcomes, such as hypertension, blood pressure, and bone mineral density?
Key Question 3. What is the association between serum 25(OH)D concentrations or calcium balance and clinical outcomes? Key Question 4. What is the effect of vitamin D or combined vitamin D and calcium intakes on serum 25(OH)D concentrations?
Key Question 5. What is the association between serum 25(OH)D concentrations and surrogate or intermediate outcomes?
Analytic Framework for Vitamin D and/or Calcium Safety-related (adverse) Outcomes
PICO Selection Criteria
• Population– Generally healthy people with no known disorders– Studies enrolled <20% patients with common diseases allowed– For adverse effects of high intake, any population
• Intervention / Exposure– Observational studies: Serum 25(OH)D or 1,25(OH)2D
• Comparator– Dose relationship
• Outcome– 17 outcomes selected by technical expert panel
• Study Design– Experimental / Observational, Duration, N; (excluded cross-
sectional studies and retrospective case-control)
Citations identified in MEDLINE and CochraneCentral database search for primary studies,
published between 1969 and Arpil 2009(n=16,733)
Citations identified in MEDLINE, CochraneDatabase of Systemic Reviews, and the HealthTechnology Assessments database search for
systematic review articles published beforeDecember, 2008 (n=1,746)
Primary study articles retreived for full-text review(n=584)
Systematic review articles retreived for full-textreview (n=68)
Abstracts failed to meetcriteria (n=17,825)
Primary study articles reviewed (n=165)- 60 randomized, controlled trials
- 3 nonrandomized comparative studies- 102 observational studies (either cohort or
nested case-control studies)
Systematic reviews included (n=11)
Articles failed to meetcriteria (n= 476)
Literature search and selection
Critical Appraisal of Primary Studies
We adapted a 3-category grading system of the AHRQ Methods Reference Guide for Comparative Effectiveness Reviews, which encompasses the principles of CONSORT statement for RCTs, STROBE checklist for observational studies. This system defines a generic grading system that is applicable to each type of study design.
A - Least bias; results are valid
B - Susceptible to some bias, but not sufficient to
invalidate the results
C - Significant bias that may invalidate the results
Critical Appraisal of Systematic Reviews
• A summary quality grade for systematic review is difficult to interpret
• Various dimensions and nuances of the systematic review must be understood
• We applied AMSTAR checklist, a tool to assess the quality of reporting of systematic reviews
• Items evaluated are made explicit for the reader• Comments provided where appropriate
Reporting of Evidence
• Evidence tables – detailed information about each study
• Summary tables– summary from each study that address a
question (outcome, study design)
• Figures, graphs• Meta-analyses (if appropriate)• Narratives, highlight features and
limitation of study in answering question
Results
Primary Studies on Vitamin D Intake or Concentration
Availability and Quality of Primary Studies
Quality grade of primary studies
A (11%) B (50%) C (39%)
Vitamin D (94)
RCT (30) 3 14 13
Non-RCT (64) 4 33 27
Calcium (108)
RCT (23) 1 11 11
Non-RCT (85) 17 41 27
Vitamin D + Calcium (19)
RCT (19) 0 12 7
Non-RCT (0) 0
Total = 221 (from 165 unique studies); same study may contribute more than one outcome
Organization of Results Chapter
• Vitamin D– outcomes
• Calcium– outcomes
• Vitamin D + calcium– Outcomes
• Association with intake and serum Vitamin D level (Question 4)
• Adverse or Safety Outcomes
Reporting of Individual Outcome
• Synopsis• Detailed presentation (highlight features and
limitation of study in answering question)– Findings per vitamin D concentration– Findings per age and sex– Findings by life stage
• Summary tables– RCTs
• Characteristics• Results
– Cohort studies• Characteristics • Results
• Figures, graphs• Meta-analyses (if appropriate)
Vitamin D and colorectal cancer: results of RCTs (pg 68)
Vitamin D and colorectal cancer: results of RCTs (pg 70)
Vitamin D and colorectal cancer – observational studies (pg 74)
Vitamin D and colorectal cancer: Results of observational studies (pg 76)
Caveats• YGWYA (you get what you asked) - report
provide information only on questions formulated a priori, it does not answer all potential questions of interest
• As much as we strive to be objective, some judgment is involved (grading of studies)
• No standard tool available to assess quality of nutritional observational studies
• Publication bias• Need to rely on existing systematic reviews,
but using them is challenging• Studies in general were not designed for DRI
issues (e.g., targeting DRI life stages)
A very brief history and current status of SR in medicine / healthcare
• First meta-analysis• Current era (starting in late 1970s)• Criticisms • Methods advancements • EBM era• US government effort (AHRQ EPC)• Healthcare reform (comparative
effectiveness reviews)
Methodological advances• Empirical research
– Validity of meta-analysis– Large studies vs meta-analysis of smaller studies– Understanding of heterogeneity
• Statistical methods• Computer software• Questions formulation / analytic framework• Searching literature• Improving quality of primary studies• Interpretation and using of results• Future research needs
Applications of systematic reviews and meta-analyses in healthcare / biomedical research
• Interventions (many 10,000’s)• Epidemiologic (several 1,000’s)• Diagnostic test accuracy (~1,000)• Genetic tests / Genomics (~2,000)• Health economics (<100)• Basic science studies (<100)• All share similar principles; unique issues and
methods required for each category
CommunityBased
Stakeholders
Translational Spectrum of Comparative Effectiveness Research
Academic MedicalCenters
EvidencePrioritization
(Qualitative / Quantitative Elicitation)
EvidenceGeneration
(Randomized Control Trials,Registries, Observations,
N-of-Trials)
EvidenceGeneration
(Randomized Control Trials,Registries, Observations,
N-of-Trials)
EvidenceSynthesis
(Systematic Reviews, Meta-Analysis)
EvidenceInterpretation
and Integration
(Cost-Effectiveness AnalysisDecision Analysis)
Dissemination and Application(Guidelines, Policy,
Social Sciences,Implementation Science)
Feedback andAssessment
(Qualitative Elicitation, Data Monitoring, Quality
Monitoring / Measurement)
Tufts CTSI