Lecture 4 - Analytical Study Design Part 2 - Systematic Reviews and Meta Analyses Flashcards

1
Q

Designs that summarize the work of other studies
—Takes the results of a large numbers of primary research studies and combines them into one

—Synthesis a great deal of research!

The top two levels of the EBM pyramid
—Generally represents the strongest evidence

Both are subject to bias based on the inclusion and/or exclusion criteria

A

Systematic Reviews and Meta-analyses

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2
Q

Designs that summarize the work of other studies

—Takes the results of a large numbers of primary research studies and combines them into one

A

Systematic Reviews and Meta-analyses

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3
Q

Systematic Reviews and Meta-analyses

Both are subject to bias based on the ______

A

inclusion and/or exclusion criteria

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4
Q

The top two levels of the EBM pyramid

—Generally represents the strongest evidence

A

Systematic Reviews and Meta-analyses

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5
Q

What is the difference between a “systematic review” and a “meta-analysis”?

A

A “systematic review” is a thorough, comprehensive, and explicit way of interpreting the medical literature

A “meta-analysis” is a statistical approach to combine the data derived from several selected studies

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6
Q

interpreting the medical literature

A

systematic review

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7
Q

statistical approach…. to combine the date derived from several selected studies

A

meta-analysis

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8
Q

Systematic Reviews and Meta-analyses:

Both are used for the development of…

A

Clinical Practice Guidelines (CPGs)

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9
Q

Appraise and synthesize all the empirical evidence to answer a given research question!

A

Systematic reviews

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10
Q

Methodology

State objectives and outline eligibility criteria

Search for trials that meet criteria

Establish methods for assessing methodological quality of each study

Apply eligibility criteria and justify exclusions

Assemble the most complete collection possible

Analyze results using synthesis of data

Compare alternate analyses, if necessary

Prepare a critical summary of the review

Restate aims, methods, and results

A

Systematic reviews

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11
Q

Strengths of Systematic Reviews

A

Exhaustive review of the current literature and other sources

Less costly to review prior studies than to create a new study

Less time required than conducting a new study

Results can be generalized and extrapolated into the general population more broadly than individual studies

More reliable and accurate than individual studies

Considered an evidence-based resource

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12
Q

Strengths of Systematic Reviews:

summary of strengths or meat and potatoes

A

Can be generalized

Evidence-based resource

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13
Q

Limitations of Systematic reviews

A

Very time and labor consuming

May not be easy to combine studies

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14
Q

Meta-analyses:

A method for combining pertinent study data from several selected studies that are similar enough to justify a quantitative summary to develop a single conclusion that has….

A

greater statistical power

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15
Q

A statistical synthesis of the numerical results of several trials which all addressed the same research question

A

Meta-analyses

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16
Q

Meta-analyses:

The conclusion is statistically stronger than any single study due to?

A

increased numbers of subjects

greater diversity among subjects

accumulated effects and results

17
Q

Strengths of Meta-anaylses:

A

Greater statistical power

Confirmatory data analysis

Greater ability to extrapolate to the general population

18
Q

Meta-analyses:

Limitations?

A

Difficult and time consuming to identify appropriate studies

Not all studies provide adequate data for inclusion and analysis

Requires advanced statistical techniques

Heterogeneity of study populations

Age, gender, etc.

Results are not always reproducible by other investigators

Subject publication Bias, Selection Bias, and Misclassification Bias

Can give a false sense of certantiy regarding the magnitude of risk

19
Q

Meta-analyses:

Limitations?

(meat and potatoes)

A

Difficult

Not all studies provide adequate data

advanced statistical techniques

heterogeneity

publication bias, selection bias, and misclassification bias