Midterm #2 - Systematic Review and Meta-Analysis Flashcards

1
Q

narrative reviews

A
  • usually written by experts
  • informal and subjective methods to collect and interpret info
  • narrative summaries of evidence
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2
Q

systematic review

A
  • review of evidence on a clearly formulated question
  • systematic and explicit methods to identify, select, and critically appraise relevant primary research
  • extract and analyze data
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3
Q

structured, systematic process steps (8)

A
  1. formulate question
  2. plan review
  3. comprehensive search
  4. unbiased selection and abstraction process
  5. critical appraisal of data
  6. synthesis of data
  7. interpretation of results
  8. reporting the review
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4
Q

advantages of systematic reviews

A
  • reduce bias
  • replicability
  • identify gaps in research
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5
Q

limitations of systematic reviews

A
  • results may still be inconclusive
  • may be no trials/evidence
  • poor quality trials
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6
Q

answerable questions (PICO framework)

A
  • description of Population
  • an identified Intervention
  • an explicit Comparison
  • relevant Outcomes
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7
Q

writing the review protocol

A
  • ensuring transparency
  • ensuring accountability
  • avoiding duplicity
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8
Q

selecting studies

A
  • accurate records and track
  • summary
  • reasons for excluded articles
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9
Q

purpose of meta-analysis

A
  • increase power
  • improve estimates of size of effects
  • resolve uncertainty when reports disagree
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9
Q

meta-analysis

A
  • statistical technique
  • combines the results of multiple scientific studies to arrive at a comprehensive conclusion
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10
Q

steps of meta-analysis

A
  1. define clear question
  2. literature search
  3. data extraction
  4. statistical analysis
  5. interpretation
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11
Q

odds ratio (OR)

A
  • effect size
  • measures association between an exposure and an outcome
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12
Q

OR = 1.00

A
  • no association between exposure and outcome
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13
Q

OR>1.00

A
  • positive association
  • increases likelihood of an outcome
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14
Q

OR<1.00

A
  • negative association
  • decreases the likelihood of an outcome
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15
Q

95% confidence interval

A
  • range within which we expect the true effect or population parameter to fall 95% of the time we repeated the study in the same conditions
  • narrower = more precise
  • wider = uncertainty
16
Q

forest plots

A
  • pooled estimate of individual effect sizes of primary studies can be calculated as a weighted mean
  • gives overall estimate of effect