Reviews of Evidence Flashcards

1
Q

What is a systematic review?

A

An overview of primary studies that used explicit and reproducible methods

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2
Q

What are 3 main features of systematic reviews?

A

Transparent
Explicit
Reproducible

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3
Q

What is a meta-analysis?

A

Quantitative synthesis of the results of two or more primary studies that addressed the same hypothesis the same way.
(pools results)

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4
Q

What is the purpose of meta-analysis?

A

Quantify effect sizes and their uncertainty - used for risk-benefit analysis.
Collate results

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5
Q

How is study weighting decided in meta-analysis?

A

Size and uncertainty of OR (confidence interval)

If smaller CI then larger weight.

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6
Q

How are meta-analyses displayed?

A

Forest plot

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7
Q

What are problems with meta-analysis?

A

Heterogeneity between studies
Variable quality of studies
Publication bias in selection

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8
Q

How can heterogeneity between studies be adjusted for?

A

Fixed effects or random effects model

Analysis of variation - subgroup analysis.

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9
Q

What is fixed effects model?

A

Assumes studies are estimating exactly the same true effect size. All variation due to random error.

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10
Q

What is the random effects model?

A

Assumes studies are estimating similar, but not the same true effect size.
- Accounts for heterogeneity

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11
Q

What are the characteristics of random effects model?

A

Wider CI

More equal weighting - greater weighting for smaller studies.

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12
Q

What is the point of sub-group analysis?

A

Explain heterogeneity - random effects model accounts for variation but does not explain.

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13
Q

Why is there variability in study quality?

A

Poor study design
Poor design protocol
Poor protocol implementation (hard to assess)
Some studies prone to bias and confounding - case-control, cohort.

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14
Q

How can quality be maintained?

A

Define quality standard and only include studies fitting criteria. E.g. cochrane only RCTs

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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 with non-statistically significant results.

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16
Q

What studies are the victim of publication bias?

A

Small studies - little power for statistical significance.

17
Q

How can you check publication bias in a meta-analysis?

A
  • Check protocol for searching and identifying unpublished studies
  • Look at funnel plot
18
Q

How can a funnel plot be used to identify publication bias?

A

If asymmetrical - publication bias

If symmetrical then no bias.