Week 10. Systematic Reviews Flashcards
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)