Systematic Reviews
Comprehensive, protocol-led review of a defined question
Turning published and available evidence into rigorous, transparent and decision-relevant synthesis.
The review approach is selected according to the question, evidence base, study designs, timeframe and intended use.
Evidence can be extensive, inconsistent or difficult to translate into a clear conclusion. Support can clarify the review question, identify studies systematically, assess their credibility and synthesise what is known, uncertain and missing.
Engagements may cover a complete protocol-led review or defined stages such as literature searching, screening and study selection, data extraction, critical appraisal, quantitative synthesis or transparent reporting.
These approaches answer different kinds of questions and are not interchangeable.
Comprehensive, protocol-led review of a defined question
Statistical pooling where studies and assumptions are sufficiently comparable
Mapping the breadth, concepts and gaps in a field
Time-sensitive synthesis using explicit, proportionate methods
Structured overview of evidence distribution and gaps
Transparent thematic or structured synthesis where pooling is unsuitable
Decisions and exclusions are documented so the relationship between the question, included evidence and conclusions remains clear.
Meta-analysis is not inherently superior to a structured narrative synthesis, and a pooled estimate is not always appropriate.
Quantitative pooling may be useful when study designs, populations, interventions or exposures, outcomes and measures are sufficiently comparable. Effect estimates should be interpreted with heterogeneity, study quality or risk of bias, uncertainty and the review context in view.
Subgroup or sensitivity analysis can examine robustness where supported, but cannot remove limitations in the underlying evidence. When pooling could obscure important differences or mislead, structured narrative synthesis or evidence mapping provides the more defensible account.
Explore scholarly outputs, research areas or complementary analytical support without duplicating the research record here.
Share the review question, evidence need and reporting requirement to discuss an appropriate approach.