Systematic map -Frequently asked questions
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Systematic maps map the breadth of evidence for broad, policy-relevant questions by cataloging studies across interventions, populations, outcomes, and designs.
Briefing
Systematic maps are designed to map the breadth of evidence on a topic—often for policy questions—by cataloging studies across interventions, populations, outcomes, and study designs, then highlighting where evidence is abundant, thin, or missing. Like systematic reviews, they follow a rigorous, transparent process, but they prioritize coverage over synthesis. That makes them especially useful when a topic is broad or multifaceted—such as involving multiple interventions, multiple populations, multiple outcomes, or evidence that isn’t limited to primary studies.
The core purpose is practical: systematic maps help teams understand the state of knowledge, locate policy-relevant evidence, and surface knowledge gaps and “knowledge clusters” that may later be suitable for deeper secondary research. A common pathway is a two-stage approach: first use a systematic map to characterize the evidence base, then select smaller subsets of studies that can answer narrower questions through a full systematic review. In other words, systematic maps act as an evidence-scanning tool that can guide where more intensive synthesis is worth the effort.
A systematic map typically presents evidence in a structured matrix—intervention categories as rows and outcome domains as columns—so patterns become visible at a glance. The map can also include counts such as the number of articles, publications per year, studies by country, intervention types, and study designs. Trends over time, knowledge gaps, and knowledge clusters are identified by examining these distributions.
Many systematic maps use a “traffic light” quality scheme: red indicates low-quality evidence and green indicates high-quality evidence. Circle size often represents the volume of evidence, so areas with lots of studies stand out from those with sparse coverage. Filters—such as region, population subgroup, or study design—allow users to zoom in on specific slices of the evidence base. User-friendly features like summaries and links back to sources are also common, helping readers move from the map to the underlying studies.
Key distinctions separate systematic maps from systematic reviews. Systematic maps usually use broader, more descriptive map questions, while systematic reviews tend to focus on narrower questions that support qualitative, quantitative, or mixed-method synthesis. Search strategies in systematic maps can include both primary and secondary research without the same design restrictions that often apply in systematic reviews (for example, limiting to randomized controlled trials or to qualitative studies). Screening and data extraction in maps can rely on limited information rather than requiring full-text for every included record. Critical appraisal is optional in systematic maps, whereas it is compulsory in systematic reviews. Finally, systematic maps generally do not synthesize study results; they instead report trends, gaps, and clusters.
The transcript also distinguishes related approaches: evidence gap maps (developed by 3ie, the International Initiative for Impact Evaluation) are thematic collections of completed and ongoing systematic reviews and impact evaluations, built with similar mapping methods. Broader variants include “mega maps,” which cover large sectors and include only systematic reviews and other maps, and “maps of maps,” which aggregate maps across many sectors.
Methodologically, systematic maps follow six stages: forming the review team and stakeholders, searching for evidence, screening, coding, optional critical appraisal, and finally describing and visualizing the map. Protocols and frameworks (often using PEOS—population, exposure/intervention, outcomes, and study design—dimensions) guide how rows and columns are defined, how coding forms are built, and how results are analyzed and reported. Software tools mentioned include EP mapper (from EPPI-Centre/EP reviewer ecosystem), Tableau, and tools used by 3ie for evidence gap maps. The transcript closes with examples of published systematic maps and evidence gap maps in journals and on organizational websites, underscoring that these products can be disseminated as journal articles or guidance-linked reports.
Cornell Notes
Systematic maps provide a structured, visual inventory of research evidence across a topic, typically using intervention categories as rows and outcome domains as columns. They are built to answer broad, policy-relevant questions by showing evidence quantity, quality (often via traffic-light colors), and patterns over time, while also flagging knowledge gaps and clusters. Unlike systematic reviews, systematic maps usually do not synthesize results; they catalog and characterize the evidence base so teams can later select subsets for deeper systematic review. Evidence gap maps are a related approach developed by 3ie, focusing on thematic collections of completed and ongoing systematic reviews and impact evaluations. Protocols and frameworks (often PEOS-based) guide scope, coding, and reporting, and tools like EP mapper and Tableau support visualization.
Why do teams use a systematic map instead of going straight to a systematic review?
What does a typical systematic map look like, and how do readers interpret it?
How do systematic maps differ from systematic reviews in scope, methods, and outputs?
What is an evidence gap map, and how is it related to systematic mapping?
What are the main stages in producing a systematic map?
Which software tools are mentioned for building maps, and what are they used for?
Review Questions
- What design features (axes, color/size conventions, filters) help a systematic map communicate evidence quantity, quality, and gaps?
- List at least three methodological differences between systematic maps and systematic reviews described in the transcript.
- How does a protocol and a framework (such as PEOS) shape the coding and reporting of a systematic map?
Key Points
- 1
Systematic maps map the breadth of evidence for broad, policy-relevant questions by cataloging studies across interventions, populations, outcomes, and designs.
- 2
A common two-stage workflow uses a systematic map to characterize the evidence base, then selects subsets for focused systematic reviews.
- 3
Systematic maps often use a matrix layout (intervention categories vs outcome domains) with traffic-light quality coding and circle size to represent evidence volume.
- 4
Systematic maps typically do not synthesize study results; they report trends, knowledge gaps, and knowledge clusters instead.
- 5
Compared with systematic reviews, systematic maps can include both primary and secondary research, may use limited data extraction, and treat critical appraisal as optional.
- 6
Evidence gap maps (3ie) are thematic collections of completed and ongoing systematic reviews and impact evaluations built with similar mapping methods.
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Tools like EP mapper and Tableau support visualization, while 3ie and Campbell provide guidance and software for evidence gap maps and related products.