Lecture 5 Flashcards

1
Q

Systematic Review

  • Overview of __ studies
  • States 4 components
A

Overview of primary studies
States objectives, materials, methods, and results. Methods are explicit, transparent, and reproducible.
Also includes a protocol.

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2
Q

Why is a systematic review better than a journalistic review?

A

A journalistic review begins with the bias of the author- they will usually include their own work. They may also use selection (publication bias) to include studies that support their position.

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3
Q

Selection (publication) bias is a similar concept to

A

Confirmation bias.

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4
Q

Cochrane review

A

Type of systematic review.

Must be unbiased, reliable, up to date, and accessible.

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5
Q

Unlike journalistic reviews, ____ are required for systematic reviews.

A

References.

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6
Q

Evaluating systematic reviews: What checklists are used to assess methods?

A

CONSORT for RCT
PRISMA for systematic reviews and meta analysis
Chochrane Reviewers handbook

Evaluate if methods cause bias.

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7
Q

Sensitivity analysis

A

Exploration of possible results of the review if designed differently. Exclude/include things to see if outcomes change.

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8
Q

Negative study

A

Nothing statistically significant. Not published.

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9
Q

External validity assesses what?

A

If the results are generalizable to a particular population.

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10
Q

Compare overview, systematic review, and meta analysis.

A

Big circle: Overview

Systematic review inside with meta-analysis inside that.

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11
Q

Meta analysis

A

Will improve power.
Subcategory of systematic review.
Statistical/numerical only.
Results of several trials which all addressed the same question.

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12
Q

Why should you preform a meta-analysis prior to undertaking an interventional clinical trial?

A

Identifies if a question may already be answered.

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13
Q

What does each mean on a forest plot?

  1. Green box
  2. Horizontal line width
  3. Vertical line
  4. The size of squares are proportional to
  5. Diamond
  6. Width of diamond
A
  1. Mean
  2. CI
  3. Line of no effect
  4. To the weight each trial contributes to the analysis
  5. Pooled data for subgroup.
  6. CI
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14
Q

Forest plot: Overlap of horizontal line for any trial of the vertical line indicates

A

There is no real difference between groups

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15
Q

Forest plot: If no horizontal lines overlap the vertical line, what does that mean?

A

Real difference between groups is 95% likely. Always accept 5% error.

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16
Q

Homogeneity

A

Result of one trial compatible with the results of others
Can Infer on forest plot if many CI are overlapping
No direct test

17
Q

Heterogeneity

A

Results of one trial are not comparable to the results of others. May be ale to infer on forest plot when there are few-no overlapping studies.
Chi square tests for heterogeneity

18
Q

Chi square test

A

Stat of heterogeneity.
Detects whether or not there is greater variation between studies than expected by random probability.
Does NOT prove homogeneity if values are below.

19
Q

DF

A

Trials - 1

20
Q

What does it mean if Chi square value is above the DF

A

Trials were different (heterogeneity) but doesn’t tell you HOW they are different.

21
Q

Inconsistency I^2

A

Assessment (not test) for heterogeneity. This converts chi square to a percentage of variability.

22
Q

Relationship between heterogeneity and inconsistency

A

More hetero = more inconsistent

23
Q

Do you want a low or high I^2 percentage?

A

Low.

0-40% is unimportant
30-60% is moderate
50-90 is substantial. Concerning.
75-100% is considerable. Shouldn’t publish. Too inconsistent.

24
Q

Does a narrow CI indicate more or less power?

A

More power. Often results from small sample sizes.

25
Q

Sensitivity Analysis

A

Results should be robust enough and not change significantly with changes in methods. Results should have external validity and be generalizable to a target population.

26
Q

Purpose of CONSORT

A

Assess quality of methods. Purpose is to improve the reporting of parallel-group RCT.

27
Q

Purpose of PRISMA

A

Assess quality of methods. Checklist of things to include in systematic reviews and meta analysis.