Systematic reviews Flashcards

1
Q

Systematic review

A

aims to answer a defined research question by collecting and summarising empirical evidence that fits prespecified eligibility criteria

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2
Q

What do systematic reviews provide

A

More generalisable conclusions

Comprehensive summary of knowledge

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3
Q

Advantages of systematic review

A

Transparent inclusion of studies
MA increases power of study
May identify lack of adequate evidence

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4
Q

Stage 1 of systematic review

A

Planning the review

Define research question

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5
Q

Stage 2 of a systematic review

A

Identification of research (search criteria and thorough search)
Selection of studies (with inclusion and exclusion criteria)
Study quality assessment (establish whether bias exists)

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6
Q

Stage 3 of a systematic review

A

Reporting and dissemination
Details and effect estimate abstracted
Estimate overall effect by combining data
if meta-analysis is appropriate

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7
Q

Meta analysis

A

Integrates results of studies matching eligibility criteria

Generates a pooled risk estimate

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8
Q

Advantages of a meta analysis

A

More subjects included= more reliable

Differences (heterogeneity) between studies can be identified

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9
Q

If studies are too heterogeneous

A

May be inappropriate to pool results

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10
Q

Forest plot

A

graph of results from each study included in a systematic review, together with the combined meta- analysis result

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11
Q

What is each study represented by on a forest plot?

A

Box and line

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12
Q

What does the size of the box in a forest plot signify?

A

The weight of the study

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13
Q

What does the horizontal line in a forest plot signify?

A

95% confidence interval

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14
Q

What does the diamond in a forest plot signify?

A

The overall estimate of the meta analysis

“pooled point estimate”

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15
Q

What does the centre of the diamond and dashed line in a forest plot signify?

A

Summary effect estimate

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16
Q

What does the width of the diamond in a forest plot signify?

A

The confidence interval around this estimate

17
Q

Publication bias

A

greater likelihood of research with statistically significant results to be published

18
Q

What can show publication bias?

A

Funnel plots

19
Q

What do funnel plots indicate?

A

whether there is a link between study size (or precision) and the effect estimate

20
Q

Heterogeneity

A

Studies trying to answer the same question may still differ with respect to the exact population, interventions/exposure, outcomes & designs used

21
Q

Even when factors are homogeneous

A

heterogeneity may still exist

because of clinical differences, methodological differences or unknown study characteristics.

22
Q

How to explore heterogeneity

A

Galbraith (radial) plots

23
Q

Limitations of systematic reviews

A

If too few studies matching eligibility criteria, a systematic review might not add much.
Inadequate methodological quality of studies can compromise findings of reviews
Publication bias can distort findings