Critical appraisal Flashcards
H&S
4 steps of the process of critical appraisal
- Come up with an answerable question
- Search for best evidence
- Appraise the evidence
- Make a decision
What contributes to making a final decision?
Available evidence, available resources, patient preference, clinical experience
What does PICO stand for?
P = patient, problem, population I = intervention C = comparason, comparator, control O = outcome
When you have a study you cannot control (e.g. about risk factors), what type of question do you use?
PEO question
What does PEO stand for?
P = patient group E = exposure O = outcome
Name 5 types of question we can have?
- Therapy
- Prognosis
- Diagnosis
- Aetiology
- Evaluation/acceptance
Best feasible study design for diagnosis
Cross-sectional analytic study
What is a cross-sectional analytic study?
Looks at data from a cross-section of a population from the same time point
Best feasible study design for aetiology (harm)
Cohort study (prospective), population-based case-control study (retrospective)
Best feasible study design for prognosis
Cohort study
Best feasible study design for treatment
RCT, systematic review (SR) of RCTs
Best feasible study design for evaluation
Qualitative research (SR or meta-analysis also possible).
What is a systematic review?
critcially appraises all available research on a particular topic.
Potential benefits of systematic reviews over primary individual trials
- Include all available evidence to answer a question
- Include research that is unpublished or published in non-English-language journals
- Increase the total sample size (increases levels of certainty and precision)
- indicate heterogeneity (variation) among studies
- permit sub-group analysis
- permit sensitivity analysis
What is a sub-group analysis?
Evaluation of treatment effects for a specific end point in subgroups of patients determined by a baseline characteristic
What is sensitivity analysis?
Are the results sensitive to the quality of the research? e.g. looking at top 10 studies
What is bias?
systemic introduction of error into a study that can distort the results in a non-random way
What is error?
difference between the average values that were obtained through a study and the true average values of the population
error vs bias
Every study has some degree of error. Bias is systemic and non-random.
4 things you should assess a research study for
- Bias
- Applicability
- Limits
- Values
3 steps to the appraisal of the results of a study (questions)
- Are the results of the study valid?
- What are the results?
- Can the results apply to patient care?
What is study validity?
The believability or credibility of the results. Do they represent an unbiased estimate of the treatment effect or have they been influenced in some systematic fashion?
NNT
Number needed to treat
NNH
Number needed to harm
Define NNT
Number of patients you need to treat to prevent one additional bad outcome.
Define NNH
How many persons on average need to be exposed to a risk factor over a specific period to cause harm in an average of one person who would not otherwise have been harmed
What is generalisability of results
The extent to which research findings can be applied to settings other than that in which they were orignially tested
What is particularisability
Can you use this evidence to inform the decisions you make about this particular patient/answer this particular question?
- How similar or patient in the study to yours?
- Can local health service provide it?
What are the benefits and costs?
What are the 2 screening questions which, if the answer is no, the study shouldn’t continue?
Did the review ask a clearly-focused question
Did the review include the right type of study?
What should a search strategy include?
Hand-searching, conference proceedings, contacting authors and papers in languages other than English
Why include none English-language papers?
Increase population size, not including may over-state effect size as it usually excludes papers with null rsults.
When should you combine results in a meta-analysis?
When studies are similar/same outcomes
What is the line at 0 in a meta-analysis graph called?
Line of no effect