Forest plots Flashcards

lecture 3 (11 cards)

1
Q

what is meta analysis

A

-the research process used to
systematically synthesise or pool the findings of single, independent studies to address a specifc
research question.
-calculates overall absolute effect

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2
Q

what does meta analysis improve

A

Improves the precision and accuracy and it will increase the overall statistical power to detect an
effect.

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3
Q

what are forest plots

A

The final estimates from a
meta-analysis are often
reported graphically in the
form of a ’forest plot’.

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4
Q

what does the horizontal line represent

A

Each horizontal line
represents a single study

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5
Q

what does the box mean

A

Box = standardized effect
size, area / size – weight
of study

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6
Q

what does the diamond show

A

Overall effect size

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7
Q

what does it mean if OR or RR is 1

A

then the effect in the
intervention is the same as the effect in the control group

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8
Q

what does it mean If OR or RR is >1

A

then the effect in the
intervention group is greater than the effect in the control group
* the effect could be good or bad

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9
Q

what is Heterogeneity

A

This is a measure of the differences
between the studies (e.g. methodology, study population
etc) included in the meta-analysis

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10
Q

What is publication bias

A

if studies are biased, pooled results are biased.

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11
Q

what are the potential causes of bias

A

confounding, drop-outs,
non-validated measures, biased analysis interpretation etc

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