Evidence based dentistry Flashcards
systematic review
type of literature review that uses systematic methods to identify, appraise and synthesize all relevant studies on a topic.
benefits of systematic reviews
provide reliable unbiased evidence
save readers time
identify gaps where good studies not available
resolve inconsistencies
limit bias and improved accuracy
5 key characteristics of a systematic review
- well formulated question (PICO)
- comprehensive data search (multiple databases, multiple languages, published and unpublished)
- unbiased selection and abstraction process (done by at least 2 reviewers, clear reasons for exclusion)
- assessment of papers (how well studies have been designed and conducted, assess risk of bias)
- synthesis of data (pooling)
what structure can be used to help develop a well formulated question for a systematic review
PICO
population
intervention
comparison
outcomes
7 step process of systematic review
- authors - 2 or more, topic expert and methodological expert
- study protocol - in advance of review
- specific question - using PICO
- search strategy - comprehensive and repeatable, multiple databases, published and unpublished, no language restrictions
- specific inclusion/ exclusion criteria (agreed in advance)
- critical appraisal - assessing risk of bias in each paper, quality assessment
- synthesis - pooling of data
2 quality assessment tools that may be used when assessing papers
composite scales - numerical value given to individual factors to give an overall estimate of quality
component approach - assess relevant methodological aspects individually (preferred)
meta analysis
optional part of systematic review
process of using statistical methods to combine the results of different studies
what does the vertical line represent in forest plots
line of no difference between intervention and control
(0 if differences, 1 if ratios)
dichotomous vs continuous data
dichotomous - illness or not, death or not, odds ratio, risk ration (binary data)
continuous - blood pressure, weight etc
what shape is given to pooled analysis on a forest plot
diamond
what are the 3 types of heterogeneity
clinical - variations in participants, interventions, study design etc
methodological - variation in methods used
statistical - excessive variation in results
how may statistical heterogeneity appear on a forest plot
poor overlap of confidence intervals
what test can be used to assess heterogeneity and what result would demonstrate significantly significant heterogeneity
chi-squared test
P<0.1 indicates statistically significant heterogeneity
what I^2 statistic would indicate heterogeneity
> 50%
fixed vs random effects
fixed - assumes that the studies brought together are almost identical - assumes true answer for each study is the same
random - assumes studies are slightly different (results in wider confidence intervals)