- Advanced Methods
- 7 min read
- By George Burchell
- View publications on PubMed
- ORCID
Living Systematic Reviews: Keeping Evidence Current
What Are Living Systematic Reviews?
A living systematic review (LSR) is an evolving, continuously updated form of a traditional systematic review. Unlike conventional reviews that are static and can quickly become outdated, LSRs are designed to be dynamic,regularly incorporating new research as it becomes available. This ensures that the evidence base remains current and reflects the latest findings, which is crucial in rapidly changing fields or areas where new evidence can significantly impact decisions.
How Do Living Systematic Reviews Work?
Living systematic reviews operate through a continuous cycle:
Continuous Monitoring
LSRs employ systematic and predefined surveillance strategies to monitor the literature for new studies relevant to the review question. This often involves setting up automated search alerts across relevant databases.
Regular Updates
As new evidence emerges, it is critically appraised and incorporated into the review, updating analyses and conclusions accordingly. Update triggers can be time-based (e.g., monthly, quarterly) or based on the accumulation of significant new evidence.
Online Publication
Most LSRs are published online, allowing for swift updates, clear versioning, and broad accessibility. Maintaining consistent teams and methodologies across updates while documenting changes transparently is key.
Why Are Living Systematic Reviews Important?
LSRs offer several advantages over traditional reviews:
Timeliness
Traditional systematic reviews can become outdated soon after publication, especially in fast-moving research areas. LSRs address this by providing the most up-to-date synthesis of evidence.
Mitigating Publication Bias
By continually adding new studies,including those with negative or inconclusive results,LSRs help reduce publication bias, offering a more balanced and accurate picture of the evidence.
Supporting Decision-Making
LSRs are particularly valuable for clinicians, policymakers, and guideline developers who require the latest evidence to inform best practices and policy.
Challenges of Living Systematic Reviews
Despite their benefits, LSRs present certain challenges:
Resource Intensive
Maintaining an LSR requires ongoing resources, including time, funding, and dedicated personnel for regular literature searches, screening, and data extraction.
Complexity
The process can be labor-intensive and administratively complex, necessitating efficient workflows and tools to manage the workload.
Technological Solutions
Advances in technology, such as machine learning, online platforms, and automation tools, are helping to reduce the burden and make LSRs more feasible at scale.
When Are Living Systematic Reviews Most Useful?
LSRs are especially beneficial in areas where:
- Research evidence is rapidly evolving (e.g., emerging diseases, new therapies like COVID-19 treatments).
- Existing evidence is uncertain or controversial.
- New studies have the potential to change clinical practice or policy (e.g., traumatic brain injury research, cannabis research).
The Future of Living Systematic Reviews
The concept of living evidence synthesis is gaining traction among evidence producers, funders, and publishers. The integration of collaborative platforms, open data, and citizen science is paving the way for communities to maintain high-value datasets and living reviews together.
Key Takeaways
- Living systematic reviews offer a reliable, up-to-date, and comprehensive synthesis of research evidence.
- They address the limitations of traditional systematic reviews by ensuring ongoing relevance and accuracy.
- While resource-intensive, technological advancements are making LSRs more accessible and scalable.
- LSRs are transforming evidence-based practice by providing the most current information for informed decision-making in healthcare and beyond.
For researchers, practitioners, and anyone invested in evidence-based practice, living systematic reviews represent a significant step forward in ensuring that decisions are always informed by the latest and most robust evidence.

About the Author
Connect on LinkedInGeorge Burchell
George Burchell is a specialist in systematic literature reviews and scientific evidence synthesis with significant expertise in integrating advanced AI technologies and automation tools into the research process. With over four years of consulting and practical experience, he has developed and led multiple projects focused on accelerating and refining the workflow for systematic reviews within medical and scientific research.