Block 4 Week 3: Systematic Reviews Flashcards

1
Q

Define a systematic review

A

A review of a clearly forumulated question that uses systematic & explicit method to identify, select and critically appraise relavent research & to collect and analyse data from the studies that are included in the rewview

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2
Q

Why have systematic reviews/ why are they important ?

A
  1. Identify which forms of healthcare work and do not work, and which are harmful
  2. Clinicians /Busy HCP need quick effective ways of identifying what works best for pt
  3. Systematic reviews help drirect healthcare policies and are the bedrock of clinical guidelines e.g. NICE
  4. Health care providers need to be evidence based to ensure practice is up to date

Important:

  1. synthesises results from similar randomised trials but in a reliable way (so is systematic). It includes steps to minimise bias in all parts of the process.
  2. Systematic reviews are the best way of staying ahead in a field of interest
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3
Q

A systematic review is…

A
  • A summary of all the available evidence of a particular topic
  • Based on a clearly defined search of the literature and uses explicit criteria to appraise the quality
  • Stringest study inclusion and exclusion criteria
  • The findings are analysed using validate methods
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4
Q

What are the three key functions of a systematic review?

A

Synthesise the evidence

Understand hetrogeneity in treatment effects

Set the research & practice agenda

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5
Q

In the hierachy of evidence where do systematic reviews sit?

A
  • Systematic reviews sit at the top of the hierarchy of evidence
  • Followed by randomised control trials
  • Cohort studies
  • case control studies
  • then case reports/ case series
  • editorials and expert opinion
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6
Q

What steps need to be taken before conducting a systematic review?

A
  • Define the purpose the of the review
  • define the nature of the research question
  • Define population included
  • Team factors –> need 2/3 colleagues to duplicate review independently
  • Need a clear research strategy
  • what studies will you include?
  • what are the outcomes that you are interested in?
  • what methods of analysis will be used? e.g. metanalysis or narrative
  • what are the expected conclusions and what is its added value (to research or clinical practice?)
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7
Q

What are the steps to a systematic review?

A
  • Rationale/ Familiarise with process
  • Question
  • Protocol
  • Literature search
  • Screening
  • Eligibility
  • Data abstraction
  • Quality assessment
  • Analysis
  • Summary& Writeup
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8
Q

Systematic review: Rationale/ Familarise with protocol

A

Rationale: Thinking of the research qu in context of what is already known:

  • What is already known so far
  • Similar reviews happening/ been done?
  • Awareness of possible nature and volume of outcome

Familarise with Protocol:

  • Start preparing protocol
  • Follow reporting guidelines eg: PRISMA-P
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9
Q

SR step 2: Question

A

Step 2 of systematic review is defining the research question and translating it into the review. Uses framework.

For quantitative reviews uses: PICOS (study design= S)

Population

Intervention

Comparator

Outcome

Study design

For qualitative uses SPICE:

(Setting, Population, Intervention, Comparison, Evaluation)

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10
Q

SR step 3: Protocol

A

Informed by & refined from research question

Include:

  • Search strategy
  • Inclusion/ Exclusion criteria
  • Data extraction
  • Risk of bias assessment
  • Analysis/ Synthesis plan
  • Presentation and Interpretation
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11
Q

SR step 4: Literature Search/ Study Retrieval

A
  • Identify where you plan to search –> appropriateness of databases
  • Identify search terms
  • Search techniques
  • Number of records identified through database search/ other sources
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12
Q

SR: Screening

A
  • Compile all the results of the papers found in the databases used for your literature search
  • Remove any duplicates, identify sudies relevant to research question (better to be overinclusive at this point.)
  • Record number screened (Include (if seems relevant)/ Exclude) and all references
  • Assessed by x2 reviewers
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13
Q

SR: Eligibility

A
  • Obtain full texts of the studies that were thought to be relevant
  • Then asses against each domain informed by research framework: PICO/SPICE.

Yes to all domains, included. No to one domain–> Excluded. Unsure speak to colleague/ 3rdreviewer

  • Inclusion/Exclusion Number recorded
  • Excluded record with reason
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14
Q

SR: Data Abstraction

A

Extract data relavant to question

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15
Q

SR: Quality Assessment

A

•Suitable tool: Inform analysis & Interpretation

Look for Bias (& summarise for each study)

  • Selection –> any bias in the way participants are selected?
  • Performance –> any systematic differences in care provided to participants in comparison vs intervention?
  • Detection –> were the researchers blinded to the allocation?
  • Attrition –> drop out, any differences in intervention vs control drop outs?
  • Reporting –> selective reporting of study outcomes?
  • Other –> e.g. funding (drug intervention funded by pharmaceutical company, declare conflict of interest?).
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16
Q

Discuss the types of Quality Assessment types of Bias

A

Selection Bias:

  • Systematic bias in the way participants are selected

Performance Bias

  • Systematic differences in the care provided to the participants in the comparison groups other than the intervention under investigation

Detection Bias

  • Systematic differences between the comparison groups in outcome assessment

Attrition Bias

  • Systematic differences between the comparison groups in the loss of participants from the study

Reporting Bias

  • Selective reporting of study outcomes

Other Bias

  • Funding, error is results
17
Q

SR: Analysis

Define Meta-Analysis

A

Quantitative:

  • Meta-Analysis if possible
  • Results of individual studies combined to produce overall statistic.
  • Subject to any biases during selection process –> Mathematically precise but clinically misleading result
  • ForestPlot

Qualitative:

  • Narrative Analysis
18
Q

Meta-Analysis

What are looking for?

What is hetrogeneity, how is it measured? Why is it important?

A

Metanalysis:

  • Outcome being examined
  • Time frame for the outcome? (how long study follows participants for)
  • Summary effect size being used? (i.e mean difference or risk ratio).
  • Number of trials included?
  • Heterogeneity in the comparison? i.e differences in the ethnicites of the populations used or the setting of the study (clinical vs in the home).
  • Heterogeneity:
    • I2 understand heterogeneity
    • Percentage of variation between studies in meta-analysis due to differences between studies & not just sampling error
    • 0%, 25% low, 50% moderate, 75% high
    • Important:shapesunderstanding pooled effect- Is this true effect or the average effect in a distribution
19
Q

SR: Summary & Write up

A

Presentation & Interpretation of findings

20
Q

What are the types of Bias that may occur in a systematic review?

A
  • Duplicate bias (trial with 5 publications referring to same trial, count as 1 trial)
  • Language bias –> restrict review to english only, miss other languages
  • Outcome Reporting bias –> go back to protocol and find out outcomes diverted from what you intially planned
  • Citation bias –> researchers so other researches favours, picked up studies that are cited a lot
  • Publication bias
    • Funnel plot for 10 or more studies
    • Should see equal distribution
    • Bias: Trial with significant result produced –> Asymmetrical funnel plot
21
Q

What does a high quality SR consist of?

A
  • Search Strategy: Inclusive & Reproducible
  • Flow of all studies/papers-PRISMA
  • How inclusion & Exclusion criteria applied (PICOS/ SPICE)
  • Table of characteristics of studies (Included & Excluded- Reasons)
  • Quality assessment: Cohesive synthesis/ Analysis (+/- meta-analysis)
  • Practical application of findings
  • Strengths & Limitation of SR