Reviewing the Evidence Flashcards

1
Q

Outline the basis of a systematic review

A

Literature is searched to find primary studies that used explicit and reproducible methods, avoiding bias.

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2
Q

Outline the basis of a meta-analysis

A

A quantitative synthesis of the results of two or more primary studies that addressed the same hypothesis in the same way.

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3
Q

What is a ‘pooled estimate’?

A

The odds ratio and 95% CIs are calculated for all studies in a meta-analysis. They are then given a weighting (depending on the size of the study) and combined to give a pooled estimate.

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4
Q

On a forest plot, what do the small squares represent?

A

Individual odds ratios

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5
Q

On a forest plot, what do the horizontal lines represent?

A

The individual confidence intervals

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6
Q

On a forest plot, what does the size of the small squares represent?

A

The weighting given to the study

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7
Q

On a forest plot, what does the dotted, vertical line represent?

A

The pooled odds ratio

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8
Q

On a forest plot, what does the diamond represent?

A

The pooled estimate

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9
Q

Give 2 problems with meta-analysis

A

Publication bias may be present
The studies may be of varying qualities
Heterogeneity between studies

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10
Q

What is ‘heterogeneity’?

A

Ideally all studies in a meta-analysis should be similar in terms of study design, treatments or exposures, outcomes measured, participant profile and the statistical analysis used.

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11
Q

Describe the ‘fixed effect model’

A

Assumes that the studies in a meta-analysis are estimating exactly the same effect size

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12
Q

Describe the ‘random effects model’

A

Assumes that the studies in a meta-analysis are estimating similar, not the same, effect size

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13
Q

List the two ways sub-groups can be analysed

A

Stratification by study characteristics

Stratification by participant profile

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14
Q

What type of study is most prone to bias and confounding factors?

A

Case-control study

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15
Q

What is publication bias?

A

Studies with statistically significant or favourable results are more likely to be published than those studies with non-statistically significant or unfavourable results.

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16
Q

How is publication bias avoided in a systematic review or meta-analysis?

A

Use a funnel plot to identify bias.

17
Q

What does a funnel plot measure?

A

Measure of study size against measure of effect.

18
Q

How is publication bias identified on a funnel plot?

A

The funnel shape will not be equal. Often small studies with low effects will not be included in studies

19
Q

Describe a systematic review

A

Have a clearly focussed question

The type of study, type of participant, type of intervention and type of outcome is well defined.