Why this talk? you will be seeing a lot of GRADE

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Presentation transcript:

Why this talk? you will be seeing a lot of GRADE exemplifies three key principles of EBHC need for systematic reviews of best evidence hierarchy of evidence need for values and preferences if you understand GRADE you understand how to use evidence to inform practice

Plan GRADE background two steps evidence profiles confidence in estimates (quality of evidence) strength of recommendation evidence profiles an exercise in applying GRADE

Proliferation of systems L Common international grading J GRADE (Grades of recommendation, assessment, development and evaluation) international group Australian NMRC, SIGN, USPSTF, WHO, NICE, Oxford CEBM, CDC, CC ~ 40 meetings over last 16 years The system – over 100 organizations thus far

Proliferation of systems L Common international grading J GRADE (Grades of recommendation, assessment, development and evaluation) international group Australian NMRC, SIGN, USPSTF, WHO, NICE, Oxford CEBM, CDC, CC ~ 40 meetings over last 16 years The system – over 100 organizations thus far

strength of recommendation: What are we grading? two components Very Low Moderate totally confident no confidence Low High strength of recommendation: strong and weak

Determinants of confidence RCTs start high Observational studies start low What can lower confidence?

Determinants of confidence Bias study design and implementation concealment, blinding, loss to follow-up publication bias Imprecision wide confidence intervals Indirectness patients, interventions outcomes indirect comparisons

Consistency of results variation in size of effect overlap in confidence intervals statistical significance of heterogeneity I2

What can raise confidence? large magnitude can rate up one level very large two levels common criteria everyone used to do badly almost everyone does well quick action hip replacement for hip osteoarthritis

Certainty assessment criteria Study Design Confidence in estimates Lower if Higher if Randomized trials High Risk of bias -1 Serious -2 Very serious   Inconsistency Indirectness Imprecision Publication bias -1 Likely -2 Very likely Large Effect + 1 Large + 1 Very large Dose response +1 Evidence of a gradient All plausible confounding +1 Would reduce a demonstrated effect or +1 would suggest a spurious effect when results show no effect Moderate Observational studies Low Very Low

Beta blockers in non-cardiac surgery Quality Assessment Summary of Findings Quality Relative Effect (95% CI) Absolute risk difference Outcome Number of participants (studies) Risk of Bias Consistency Directness Precision Publication Bias Myocardial infarction 10,125 (9) No serious limitations No serious imitations Not detected High 0.71 (0.57 to 0.86) 1.5% fewer (0.7% fewer to 2.1% fewer) Mortality 10,205 (7) Possiblly inconsistent Imprecise Moderate or low 1.23 (0.98 – 1.55) 0.5% more (0.1% fewer to 1.3% more) Stroke 10,889 (5) No serious limitaions 2.21 (1.37 – 3.55) (0.2% more to 1.3% more0

Strength of Recommendation strong recommendation benefits clearly outweigh risks/hassle/cost risk/hassle/cost clearly outweighs benefit what can downgrade strength? low confidence in estimates close balance between up and downsides

Risk/Benefit tradeoff aspirin after myocardial infarction 25% reduction in relative risk side effects minimal, cost minimal benefit obviously much greater than risk/cost anticoagulants in low risk atrial fibrillation anticoagulants reduce stroke vs ASA by 50% but if risk only 1% per year, ARR 0.5% increased bleeds by 1% per year Reason for clear recommendations in first example is that benefits moderate to large and risk or costs are minimal Reson that equivocal in second is that benefits slightly smaller, risks greater, and costs greater; means that close call (or at least some might think so)

Strength of recommendations Aspirin after MI – do it Anticoagulants vs than ASA in low risk Afib -- probably do it -- probably don’t do it

Significance of strong vs weak variability in patient preference strong, almost all same choice (> 90%) weak, choice varies appreciably interaction with patient strong, just inform patient weak, ensure choice reflects values use of decision aid strong, don’t bother weak, use the aid quality of care criterion strong, consider weak, don’t consider

Flavanoids for Hemorrhoids venotonic agents mechanism unclear, increase venous return popularity 90 venotonics commercialized in France none in Sweden and Norway France 70% of world market possibilities French misguided rest of world missing out

Systematic Review 14 trials, 1432 patients key outcome risk not improving/persistent symptoms 11 studies, 1002 patients, 375 events RR 0.4, 95% CI 0.29 to 0.57 minimal side effects is France right? what is the quality of evidence?

What can lower confidence? risk of bias lack of detail re concealment questionnaires not validated indirectness – no problem inconsistency, need to look at the results

Publication bias? size of studies all industry sponsored 40 to 234 patients, most around 100 all industry sponsored

What can lower confidence? detailed design and execution lack of detail re concealment questionnaires not validated inconsistency almost all show positive effect, trend heterogeneity p < 0.001; I2 65.1% indirectness imprecision RR 0.4, 95% CI 0.29 to 0.57 publication bias 40 to 234 patients, all industry sponsored

Is France right? recommendation yes no against use strength strong weak

Conclusion clinicians, policy makers need summaries explicit rules confidence in estimates strength of recommendations explicit rules transparent, informative GRADE simple, transparent, systematic increasing wide adoption captures all key elements of EBM approach

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