Meta Analysis and Bias Flashcards

1
Q

What is a meta-analysis?

A

A meta-analysis is a statistical technique that combines the results of multiple scientific studies to derive a more precise estimate of the effect.

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2
Q

What is a narrative review and what are its characteristics?

A

A narrative review provides a descriptive summary of the literature on a topic, based on the author’s expertise and selection of studies. It lacks systematic search methods and is more susceptible to bias.

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3
Q

How does a systematic review differ from a narrative review?

A

A systematic review summarizes the results of available studies that meet pre-defined criteria using systematic and explicit methods to collect, critically appraise, and synthesize data. It minimizes bias and provides reliable findings.

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4
Q

What are Cochrane reviews and their significance?

A

Cochrane reviews are systematic reviews of primary research in human health care and policy, renowned for their rigorous standards, systematic methodology, and emphasis on minimizing bias

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5
Q

What is the difference between primary and secondary research?

A

Primary research involves original data collection or firsthand evidence, while secondary research involves the summary, collation, and/or synthesis of existing research, such as in systematic reviews or meta-analyses.

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6
Q

What is the GRADE system used in systematic reviews?

A

The GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) system is a framework used to rate the quality of evidence in systematic reviews and to grade the strength of recommendations in guidelines.

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7
Q

How is risk of bias assessed in systematic reviews and meta-analyses

A

Risk of bias in studies is assessed using tools that evaluate the methodological quality of the studies included in a systematic review or meta-analysis, checking for selection, performance, detection, attrition, and reporting biases.

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8
Q

What is a scoping review and its purpose?

A

A scoping review maps the key concepts underpinning a research area and the main sources and types of evidence available. It addresses broader topics where many different study designs might be applicable.

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9
Q

What is publication bias and its impact on systematic reviews?

A

Publication bias occurs when the outcomes of research influence the likelihood of publication. It can skew the findings of systematic reviews and meta-analyses toward more positive or significant results

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10
Q

What is an umbrella review?

A

An umbrella review is a review of existing meta-analyses and systematic reviews, providing the highest level of evidence on a topic by synthesizing data from multiple reviews.

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11
Q

How is the quality of a meta-analysis assessed?

A

The quality of a meta-analysis is assessed by evaluating the thoroughness of the literature search, the selection and exclusion criteria, and the methods used to assess study bias and data synthesis.

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12
Q

What is the primary purpose of conducting a meta-analysis?

A

The primary purpose of a meta-analysis is to summarize the best evidence available that answers a specific research question through exhaustive literature search and data synthesis.

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13
Q

What does the meta-analysis reveal about using cannabis for chronic neuropathic pain?

A

The meta-analysis shows that while cannabis-based medicines might offer some pain relief for chronic neuropathic pain, the quality of evidence is often low and the clinical relevance is uncertain.

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14
Q

What role do Cochrane reviews play in meta-analyses?

A

Cochrane reviews provide high-quality, systematic assessments of primary research in human health care and health policy, and are internationally recognized as the highest standard in evidence-based health care.

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15
Q

How do cannabis-based medicines compare to placebo for pain relief in neuropathic pain according to recent meta-analyses?

A

Cannabis-based medicines showed better outcomes than placebo in some measures of pain relief, but the effects were generally modest and the evidence quality varied from low to moderate.

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16
Q

What factors are critical in interpreting the results of a meta-analysis?

A

Critical factors include understanding the heterogeneity between studies, the risk of bias, the quality of evidence (GRADE), and how the findings align with current clinical guidelines.

17
Q

Why is a systematic search important in a meta-analysis?

A

A systematic search ensures that the meta-analysis covers all relevant literature, reducing publication bias and providing a comprehensive view of the available evidence.

18
Q

What are key components to report in a meta-analysis?

A

Key components include the research question, inclusion and exclusion criteria, data extraction methods, statistical analysis techniques, results including measures of effect size, and conclusions about the evidence strength.