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Overview
Critical Appraisals
of Medical Literature
What is Evidence-Based
Medicine?
“Evidence-based medicine is the integration of
best research evidence with clinical expertise
and patient values” (Sackett & Straus)
Best
research
evidence
Clinical
expertise
Patient
values
EB
M
WHY EBM?
1. Information overload
2. Keeping current with literature
3. Our clinical performance deteriorates with
time (“the slippery slope”)
4. Traditional CME does not improve clinical
performance
5. EBM encourages self directed learning
process which should overcome the above
shortages
Medical evidence increasing at epidemic
rates:
we all need EBP skills to keep up-to-date
MEDLINE 2010
2,000 articles / day
approx 75 new
trials
published
every day
Bastian, Glasziou, Chalmers (2010) 75 Trials and 11Systematic Reviews a Day: How Will We Ever Keep Up? PLoS Med 7(9)
The research-to-awareness
gap
0
500000
1000000
1500000
2000000
2500000
Trials MEDLINE BioMedical
Medical
Articles
per
Year
5,000?
per day
1,500
per day
55 per
day
Years after graduation
Relative
% of
remaining
knowledge
2 4 6 8 10 12
$
100%
THE SLIPPERY SLOPE
The Prognosis of Ignorance is
Poor
Worse with “duration in practice”
1. Formulate clinical problems in answerable
questions
2. Search the best evidence: use internet or other
on-
line database for current evidence
3. Critically appraise the evidence for
 Validity (was the study valid?)
 Importance (were the results clinically
important?)
 Applicability (could we apply to our
patient?)
Steps in EBM practice
VIA
Diagnosis
(Determination of disease or problem)
Etiology
(What causes the disease)
Prognosis
(Prediction of the outcome of the disease)
Treatment
(Intervention necessary to help the patient)
Main area
>25,000 journals worldwide
>2 million published articles per year
Many published articles have methodological
(including statistical) flaws – even in most
respected journals
Not all results can be applied due to many
reasons, a.o. dissimilarities of study subjects
with our patients
Limited time of physicians: focus on articles
relevant to your clinical practice
Rationale
All articles should be
critically appraised for: VIA
Validity : was the study valid?
Importance : were the results
clinically important?
Applicability : were the valid and
important results can
be applied to my
patients?
For educational purposes,
students are encouraged
to consider all parts of the report,
from title to list of references,
before specifically appraise the content.
Introduction - Why did I start?
Methods - What did I do?
Results - What did I find?
Discussion - What do they mean?
Anatomy & physiology of research reports
IMRAD
What is the main purpose
of critical appraisals?
To determine that the study was valid and the
results were important and can be applied to our
patients
How can we determine validity?
 Methods! (and Results)
How can we know that the results were
important?
 Your clinical judgment!
How can we know that the results can be
applied to our patients?
 Make sure that your patients are similar to
those in the study (You should assume that
General approach to asses
validity of the study: RAMMbo
R = Recruitment
A = Allocation
M = Maintenance
M = Measurements
blinded?
objective?
Relation of PICO to RAMMbo
Patient/Problem
Intervention
Comparison
Outcome
Recruitment
Allocation
Maintenance
Measurements
 blinded?
 objective?
RCT (Pragmatic trials): Validity
Were the study participants randomized?
Was the randomization technique described?
Was the randomization table concealed?
Were the characteristics of the subjects
similar at the start of the intervention?
Were all participants given equal treatment
apart from the intervention?
Were all relevant outcomes considered?
Were the results analyzed correctly?
RCT (Pragmatic trials):
Importance
Calculate: EER, CER, RRR, ARR, NNT
a b
c d
E
C
Success Failure
EER = a/(a+b)
CER = c/(c+d)
RRR = (CER-EER)/CER
ARR = CER-EER
NNT = 1/ARR
RCT: Applicability
Were the participations similar to your
patients?
May be intuitively concluded or use f
(factor indicating how much severe your
patient compared to the study participation
in terms of prognostic factor)
DIAGNOSTIC TEST: Validity
Was independent and blind comparison
to gold standard applied?
Was the diagnostic test include
spectrum of disease similar to your real
practice?
Was the gold standard applied
regardless of the diagnostic result?
Diagnostic Test: Importance
Calculate: Sensitivity, specificity,
predictive values, likelihood ratios
a b
c d
+
-
+ -
Se = a/(a+c)
Sp = d/(b+d)
PPV = a/(a+b)
NPV = d/(c+d)
LR+ = se/(1-sp)
LR - = (1-se) /sp
Posttest odds = Pretest odds x LR+
Test
Diagnostic Test: Applicability
Were the participations similar to your
patients?
Is the diagnostic test applicable,
acceptable, and affordable in your setting?
Will the result of the test help your
patient?
Prognostic Studies: Validity
Was the inception cohort assembled in usual
point of course of the disease?
Was the follow-up sufficient & complete?
Were outcome criteria applied in blind
fashion?
Was there any validation in other group of
patients?
Was subgroup analysis performed after
adjustment for prognostic factors?
Prognostic studies:
Importance
Calculate: Relative risk (RR) and 95% CI
a b
c d
+
-
+ -
Exposure
RR = a/(a+b) : c/(c+d)
RR > 1: risk factor
RR < 1 : protective factor
RR = 1 : not a risk factor
Prognostic studies:
Applicability
Were the patients similar to yours?
Will the evidence make a clinically
important impact for the care of your
patient?
Meta-analysis: validity
Is it the SR / Meta-analysis you are
interested?
Does it include Methods describing how to
find articles?
Does it include description of assessment
of individual validity?
Were the results consistent from study to
study?
Meta-analysis: Importance
Are the valid results clinically important?
Inspect individual studies: OR /
RR/mean difference - point estimates
and confidence intervals
Inspect combined OR / RR / mean
difference
Comments if any
Meta-analysis: Applicability
Is your patient similar to the patients in the
study?
How big is the benefit?
NNT:
calculate from the OR
select the OR of best study
Three common myths/mistakes
in reviewing the literature
It is in a “big name” journal it must be good
Many dangerous DOE‟s have been printed in NEJM,
JAMA, Annals of ____ etc.
The author is a big name, or well published, or
from an impressive institution
My article is newer than your article
Newer is often NOT better
Best available evidence
Best available evidence follows from critical
appraisal
Determine strength of evidence („level
or evidence‟) for patient’s case
Strength of evidence partially
determines the strength of the
recommendation („grade or
recommendation’) for patient in
general
Levels of Evidence
Classification study and level of evidence
Often focus on therapeutic studies
Often (only) based on study design (the best study
design varies per study subject D/P/T!)
No/little stress on individual methodological aspects
No/little stress on (uncertainty in) size and relevance
effect
Many different classification systems (what is A1, level
2, IIb etc?)
Variation in study design regarding best available
evidence?
Own system/assessment
Strength of evidence of study
Strength of evidence of study is
determined by
Quality (relevance and validity)
Effect size (clinically relevant difference?)
Uncertainty in effect
Consistency results in studies from best
available evidence
From strength of evidence to
recommendation
Recommendation for individual patient
(EBCR) and recommendation for group(s) of
patients (Guidelines)
Compact summary best available evidence
Saves time
Fewer differences in patient handling
between doctors
Improvement quality of care
From strength of evidence to
recommendation
A recommendation has to
be clear (no number/cipher)
be unambiguous
be a reflection of all the evidence of
sufficient/good quality
have a „strength‟ („Grade of
recommendation‟)
Example GRADE approach
Grading of Recommendations Assessment,
Development and Evaluation (short GRADE)
Systematic approach for developing guidelines
Approach
Quality of evidence (=strength of evidence)
Strength of recommendations (=Recommendation)
2 grades – weak or strong (for or
against)
Quality of evidence (=strength of
evidence) only one factor
Guyatt et al BMJ 2008
GRADE Quality of Evidence
“Degree of trust in the effect estimate to support the
decision”
Best available evidence usually only high and
moderate quality
Quality of
evidence
Suggested implications
High further research is unlikely to change the confidence in an
estimated effect; we are confident that we can expect very similar
effect in a population for which the recommendation is intended
Moderate further research is likely to have an important impact on the
confidence in an estimated effect and may change that estimate
Low further research is very likely to have an important impact on the
confidence in an estimated effect and is likely to change that
estimate
Very low any estimate of an effect is very uncertain
GRADE: Strength of
recommendation
“The „strength of a recommendation‟ gives
the degree to which we can be sure that the
positive effects will outweigh the negative
effects of the proposed treatment strategy for
the patient (group) for which the
recommendation is meant”
Determinants of the strength of
the recommendation
Strength of evidence or „Quality of evidence‟
Balance between positive and negative
effects
Standards and values
Costs
Questions?

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K7 - Critical Appraisal.pdf

  • 2. What is Evidence-Based Medicine? “Evidence-based medicine is the integration of best research evidence with clinical expertise and patient values” (Sackett & Straus) Best research evidence Clinical expertise Patient values EB M
  • 3. WHY EBM? 1. Information overload 2. Keeping current with literature 3. Our clinical performance deteriorates with time (“the slippery slope”) 4. Traditional CME does not improve clinical performance 5. EBM encourages self directed learning process which should overcome the above shortages
  • 4. Medical evidence increasing at epidemic rates: we all need EBP skills to keep up-to-date MEDLINE 2010 2,000 articles / day approx 75 new trials published every day Bastian, Glasziou, Chalmers (2010) 75 Trials and 11Systematic Reviews a Day: How Will We Ever Keep Up? PLoS Med 7(9)
  • 5. The research-to-awareness gap 0 500000 1000000 1500000 2000000 2500000 Trials MEDLINE BioMedical Medical Articles per Year 5,000? per day 1,500 per day 55 per day
  • 6. Years after graduation Relative % of remaining knowledge 2 4 6 8 10 12 $ 100% THE SLIPPERY SLOPE
  • 7. The Prognosis of Ignorance is Poor Worse with “duration in practice”
  • 8. 1. Formulate clinical problems in answerable questions 2. Search the best evidence: use internet or other on- line database for current evidence 3. Critically appraise the evidence for  Validity (was the study valid?)  Importance (were the results clinically important?)  Applicability (could we apply to our patient?) Steps in EBM practice VIA
  • 9. Diagnosis (Determination of disease or problem) Etiology (What causes the disease) Prognosis (Prediction of the outcome of the disease) Treatment (Intervention necessary to help the patient) Main area
  • 10. >25,000 journals worldwide >2 million published articles per year Many published articles have methodological (including statistical) flaws – even in most respected journals Not all results can be applied due to many reasons, a.o. dissimilarities of study subjects with our patients Limited time of physicians: focus on articles relevant to your clinical practice Rationale
  • 11. All articles should be critically appraised for: VIA Validity : was the study valid? Importance : were the results clinically important? Applicability : were the valid and important results can be applied to my patients?
  • 12. For educational purposes, students are encouraged to consider all parts of the report, from title to list of references, before specifically appraise the content.
  • 13. Introduction - Why did I start? Methods - What did I do? Results - What did I find? Discussion - What do they mean? Anatomy & physiology of research reports IMRAD
  • 14. What is the main purpose of critical appraisals? To determine that the study was valid and the results were important and can be applied to our patients How can we determine validity?  Methods! (and Results) How can we know that the results were important?  Your clinical judgment! How can we know that the results can be applied to our patients?  Make sure that your patients are similar to those in the study (You should assume that
  • 15. General approach to asses validity of the study: RAMMbo R = Recruitment A = Allocation M = Maintenance M = Measurements blinded? objective?
  • 16. Relation of PICO to RAMMbo Patient/Problem Intervention Comparison Outcome Recruitment Allocation Maintenance Measurements  blinded?  objective?
  • 17. RCT (Pragmatic trials): Validity Were the study participants randomized? Was the randomization technique described? Was the randomization table concealed? Were the characteristics of the subjects similar at the start of the intervention? Were all participants given equal treatment apart from the intervention? Were all relevant outcomes considered? Were the results analyzed correctly?
  • 18. RCT (Pragmatic trials): Importance Calculate: EER, CER, RRR, ARR, NNT a b c d E C Success Failure EER = a/(a+b) CER = c/(c+d) RRR = (CER-EER)/CER ARR = CER-EER NNT = 1/ARR
  • 19. RCT: Applicability Were the participations similar to your patients? May be intuitively concluded or use f (factor indicating how much severe your patient compared to the study participation in terms of prognostic factor)
  • 20. DIAGNOSTIC TEST: Validity Was independent and blind comparison to gold standard applied? Was the diagnostic test include spectrum of disease similar to your real practice? Was the gold standard applied regardless of the diagnostic result?
  • 21. Diagnostic Test: Importance Calculate: Sensitivity, specificity, predictive values, likelihood ratios a b c d + - + - Se = a/(a+c) Sp = d/(b+d) PPV = a/(a+b) NPV = d/(c+d) LR+ = se/(1-sp) LR - = (1-se) /sp Posttest odds = Pretest odds x LR+ Test
  • 22. Diagnostic Test: Applicability Were the participations similar to your patients? Is the diagnostic test applicable, acceptable, and affordable in your setting? Will the result of the test help your patient?
  • 23. Prognostic Studies: Validity Was the inception cohort assembled in usual point of course of the disease? Was the follow-up sufficient & complete? Were outcome criteria applied in blind fashion? Was there any validation in other group of patients? Was subgroup analysis performed after adjustment for prognostic factors?
  • 24. Prognostic studies: Importance Calculate: Relative risk (RR) and 95% CI a b c d + - + - Exposure RR = a/(a+b) : c/(c+d) RR > 1: risk factor RR < 1 : protective factor RR = 1 : not a risk factor
  • 25. Prognostic studies: Applicability Were the patients similar to yours? Will the evidence make a clinically important impact for the care of your patient?
  • 26. Meta-analysis: validity Is it the SR / Meta-analysis you are interested? Does it include Methods describing how to find articles? Does it include description of assessment of individual validity? Were the results consistent from study to study?
  • 27. Meta-analysis: Importance Are the valid results clinically important? Inspect individual studies: OR / RR/mean difference - point estimates and confidence intervals Inspect combined OR / RR / mean difference Comments if any
  • 28. Meta-analysis: Applicability Is your patient similar to the patients in the study? How big is the benefit? NNT: calculate from the OR select the OR of best study
  • 29. Three common myths/mistakes in reviewing the literature It is in a “big name” journal it must be good Many dangerous DOE‟s have been printed in NEJM, JAMA, Annals of ____ etc. The author is a big name, or well published, or from an impressive institution My article is newer than your article Newer is often NOT better
  • 30. Best available evidence Best available evidence follows from critical appraisal Determine strength of evidence („level or evidence‟) for patient’s case Strength of evidence partially determines the strength of the recommendation („grade or recommendation’) for patient in general
  • 31. Levels of Evidence Classification study and level of evidence Often focus on therapeutic studies Often (only) based on study design (the best study design varies per study subject D/P/T!) No/little stress on individual methodological aspects No/little stress on (uncertainty in) size and relevance effect Many different classification systems (what is A1, level 2, IIb etc?) Variation in study design regarding best available evidence? Own system/assessment
  • 32. Strength of evidence of study Strength of evidence of study is determined by Quality (relevance and validity) Effect size (clinically relevant difference?) Uncertainty in effect Consistency results in studies from best available evidence
  • 33.
  • 34. From strength of evidence to recommendation Recommendation for individual patient (EBCR) and recommendation for group(s) of patients (Guidelines) Compact summary best available evidence Saves time Fewer differences in patient handling between doctors Improvement quality of care
  • 35. From strength of evidence to recommendation A recommendation has to be clear (no number/cipher) be unambiguous be a reflection of all the evidence of sufficient/good quality have a „strength‟ („Grade of recommendation‟)
  • 36. Example GRADE approach Grading of Recommendations Assessment, Development and Evaluation (short GRADE) Systematic approach for developing guidelines Approach Quality of evidence (=strength of evidence) Strength of recommendations (=Recommendation) 2 grades – weak or strong (for or against) Quality of evidence (=strength of evidence) only one factor Guyatt et al BMJ 2008
  • 37. GRADE Quality of Evidence “Degree of trust in the effect estimate to support the decision” Best available evidence usually only high and moderate quality Quality of evidence Suggested implications High further research is unlikely to change the confidence in an estimated effect; we are confident that we can expect very similar effect in a population for which the recommendation is intended Moderate further research is likely to have an important impact on the confidence in an estimated effect and may change that estimate Low further research is very likely to have an important impact on the confidence in an estimated effect and is likely to change that estimate Very low any estimate of an effect is very uncertain
  • 38. GRADE: Strength of recommendation “The „strength of a recommendation‟ gives the degree to which we can be sure that the positive effects will outweigh the negative effects of the proposed treatment strategy for the patient (group) for which the recommendation is meant”
  • 39. Determinants of the strength of the recommendation Strength of evidence or „Quality of evidence‟ Balance between positive and negative effects Standards and values Costs