Systematic Reviews and meta analysis

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21 Terms

1

what do we need systematic reviews for?

Pulls together papers on a particular subjects and give us a summary

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2

what is cumulative meta analysis

a statistical procedure to calculate summary estimates from the results of similar trials every time the results of a further trial in the series had become available e.g each year

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3

what are the methods of literature searching

identify PICO elements

identify search terms

use literature searching

review papers

summarise results

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4

what is PICO

population, intervention, control, and outcomes

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5

briefly describe the selection process for papers included in the meta-analysis

review titles to get rid of duplicates

review abstracts to exclude basic sciences

review full texts

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6

what do papers need, to be included?

need to be experimental or observational

assess association b/w 2 things e.g BB’s and COPD mortality

clearly define terms being tested

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7

what do you add when summarising papers?

Descriptive summary

describe studies bc combining results not usually sensible

meta-analysis if results CAN be combined

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8

what should you be aware of when reviewing papers?

assessment of bias, confounding and design issues

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9

how is the data actually summarised

  1. you’ll have a table with all the studies, each study given one row of data

gives you a reasonable study

  1. forest plot - useful for presenting results

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10

what os a forest plot

graphically presents results

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11

size of 95% confidence intervals compared to study sizes

the smaller the study, the larger the confidence interval

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12

why is it difficult to give one overall result?

bc one paper could be more accurate than other studies

larger study size

more similar population to patients being treated.

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13

what is meta-analysis

a statistical method for combining the results of several studies.

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14

when is a fixed meta analysis used?

when you can assume that the treatment effect is the same in each study and variation is due to sampling variation

  • assumes true effect doesn’t differ b/w studies

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15

when do you use random effect meta-analysis

if there is heterogeneity (you can test for it)

(basically, how consistent are these results?)

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16

how do you test for heterogeneity

COCHRAN’S Q TEST

  • Q finds if there a significant difference b/w each study’s

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17

which model has smaller weights? Random effects or fixed?

random effects! because they are more similar to each other

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18

when are funnel plots used?

to determine whether there are any biases in the study

→ the bigger the error, probably the smaller the studies and at bottom of funnel

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19

what are the difficulties with bias in studies? when do they arise

  1. not all relevant studies are included

  2. lots of info published but not enough detail to include in the meta-analysis

  3. reporting of one major result instead of all results

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20

what are Cochrane reviews?

A TYPE OF SYSTEMATIC REVIEW!

  • take in all papers on a particle subject and due a huge review of all those papers

  • to cover everything available

- incredibly reliable

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