Evidence based dentistry Flashcards

1
Q

systematic review

A

type of literature review that uses systematic methods to identify, appraise and synthesize all relevant studies on a topic.

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2
Q

benefits of systematic reviews

A

provide reliable unbiased evidence
save readers time
identify gaps where good studies not available
resolve inconsistencies
limit bias and improved accuracy

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3
Q

5 key characteristics of a systematic review

A
  • 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  • comprehensive data search (multiple databases, multiple languages, published and unpublished)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)
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4
Q

what structure can be used to help develop a well formulated question for a systematic review

A

PICO
population
intervention
comparison
outcomes

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5
Q

7 step process of systematic review

A
  1. authors - 2 or more, topic expert and methodological expert
  2. study protocol - in advance of review
  3. specific question - using PICO
  4. search strategy - comprehensive and repeatable, multiple databases, published and unpublished, no language restrictions
  5. specific inclusion/ exclusion criteria (agreed in advance)
  6. critical appraisal - assessing risk of bias in each paper, quality assessment
  7. synthesis - pooling of data
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6
Q

2 quality assessment tools that may be used when assessing papers

A

composite scales - numerical value given to individual factors to give an overall estimate of quality
component approach - assess relevant methodological aspects individually (preferred)

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7
Q

meta analysis

A

optional part of systematic review
process of using statistical methods to combine the results of different studies

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8
Q

what does the vertical line represent in forest plots

A

line of no difference between intervention and control

(0 if differences, 1 if ratios)

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9
Q

dichotomous vs continuous data

A

dichotomous - illness or not, death or not, odds ratio, risk ration (binary data)
continuous - blood pressure, weight etc

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10
Q

what shape is given to pooled analysis on a forest plot

A

diamond

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11
Q

what are the 3 types of heterogeneity

A

clinical - variations in participants, interventions, study design etc
methodological - variation in methods used
statistical - excessive variation in results

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12
Q

how may statistical heterogeneity appear on a forest plot

A

poor overlap of confidence intervals

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13
Q

what test can be used to assess heterogeneity and what result would demonstrate significantly significant heterogeneity

A

chi-squared test
P<0.1 indicates statistically significant heterogeneity

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14
Q

what I^2 statistic would indicate heterogeneity

A

> 50%

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15
Q

fixed vs random effects

A

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)

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16
Q

what method does cochrane use to assess quality of meta analysis

A

GRADE

17
Q

5 factors that can lower quality of meta analysis (GRADE)

A
  • high or unclear risk of bias
  • inconsistency between studies (possible heterogeneity)
  • indirectness (were all studies investigating the same thing)
  • imprecision (wide confidence intervals)
  • publication bias (negative/ null results not published)
18
Q

what should bias assessment look at in RCTs (3)

A

sequence generation (method of randomisation)
allocation concealment
blinding of participants and assessors

19
Q

when is dichotomous used and when is continuous data used

A

continuous - weighted and standardised mean differences

dichotomous - odds and risk ratios, risk reductions, NNT