Week 10. Systematic Reviews Flashcards
(27 cards)
h-Index
author-level metric that measures productive and citation impact of the publications of a scientist/scholar
“a scholar with an index of h has published h papers each of which has been cited in other papers at least h times”
Journal Impact Factor (IF)
measure reflecting the yearly average number of citations to recent articles published in that journal.
- used as a proxy for the relative importance of a journal within its field
- higher IF deemed to be more important that lower ones
Types of SR
- literature/narrative
- scoping review
- state-of-the-art review
- systematic review
Narrative review
- summarize different 1* studies to draw conclusions with interpretations informed by the reviewers’ own experience, existing theories and/or models
- allows experts to synthesize and interpret information and form opinions/hypothesis
- most susceptible to bias
Example of narrative review
- like a mini-CPG
- practice points
- up-to-date overview from clinical experts
Scoping review
- Preliminary assessment of potential size and scope of available research literature
- Aims to identify the nature and extent of research evidence (usually including ongoing research)
- Casts a “broad net”
example of scoping review
- Informs future research
- identifies gaps in knowledge
- inventories tools, methods, or approaches
Systematic Review
literature review that involves “a comprehensive search for relevant studies on a specific topic, and those identified are then appraised and synthesized according to a predetermined and explicit method.”
Example of systematic review
- Rigorous approach
- Least susceptible to bias
- Unfortunately, often recommend more research is needed
Relationship of review
Narrative review < quick scoping review < rapid evidence assessment < full systematic review
Types of SR
- Intervention SR
- Diagnostic accuracy SR
- Prognostic SR
- Risk/Etiology SR
- Measurement tool properties SR.
- Qualitative SR
where does SR fit in the 5S Hierarchy of Evidence
Lowest level of secondary: Synthesis
Secondary (filtered resources) 1. Systems 2. Summaries 3. Synopses 4. Syntehsis Primary (unfiltered resources) 5. Studies (RCT, Cohort, Case control, Case series, case report)
*6. expert opinions: classical textbooks
Why SR?
- Explicit methods reduce bias which means that conclusions are likely to be reliable
- When a meta-analysis is done, it helps increase the precision of the answer provided by many smaller studies (i.e. shrinks CIs)
- Saves the time of healthcare providers
What are SR used for?
- Recommendations and guidelines
- Policy decisions
- Research agendas
- Individual patient care
- Patient decisions
What is a meta-analysis
- Meta-Analysis – a statistical method to synthesize or pool data from multiple studies.
- Systematic reviews ≠ meta-analysis
- Systematic reviews may use meta-analysis to quantitatively combine studies
- Meta-analyses are not always systematic (can also be done as easily on an arbitrary grouping of studies)
Components of SR
- Focused clinical question (PICO)
- Comprehensive search for evidence
- Explicit inclusion and exclusion criteria for studies
- critical appraisal of the included studies
- systematic synthesis (if quantitative then also referred to as a meta-analysis)
Steps to conducting a SR
- Assemble a team
- Ask the right question
- Conduct a systematic and comprehensive search
- Screening and selecting studies
- Data extraction
- Quality assessment (QA) of included studies
7a. Narrative Data synthesis
7b. Meta-Analysis
Steps to conducting a SR: (1) Assemble a team
- Assemble a team
- Content experts, SR method experts, statistician, searcher/librarian
Steps to conducting a SR: (2) Formulate Question
- Ask the right question
- PICO, determines the scope of project and facilitates subsequent steps of the SR
Steps to conducting a SR: (3) Conduct a systematic and comprehensive review
- find all relevant studies that answer question
- consult/work with librarian/expert searcher
Steps to conducting a SR: (4) screening and selecting studies
- Search results are compiled into a database (e.g. Refworks) and duplicates are removed.
- 2 people review ALL abstracts and select articles to minimize mistakes and bias.
- Need a clear process for resolving disagreements
Steps to conducting a SR: (5) Data extraction
- Scan each included study for the data you would need to compare and synthesize studies (populations, settings, methods, treatment effects, adverse events)
- Create spreadsheets/tables
- Ideally 2 independent reviewers extract data from each study to reduce bias/errors
Steps to conducting a SR: (6) Quality Assessment of included studies
- Not all evidence is high quality
- Quality = absence of bias
- Validated QA tools available
- Different QA tools for different study designs. (e.g. Cochrane risk of bias tool favoured method for QA of RCTs)
- 2 independent reviewers do QA for all studies
Steps to conducting a SR: (7a) Narrative Data synthesis
- Narrative synthesis is done with non-quantitative data or because the studies are too heterogeneous
Organize results as appropriate (e.g. study design, study quality, differences in population (mild, severe)
Provide conclusions for research and clinical practice