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A systematic review is a rigorous methodology that can be used to identify, appraise, and synthesize information. Yet in a fast-changing research field, a traditional systematic review may become obsolete owing to the publication of further studies. The living systematic review (LSR) comes in handy here, as it updates the evidence through continuous monitoring and synthesis of relevant evidence using pre-defined methods.[1]
Unlike a traditional systematic review, a living systematic review constantly conducts the process of evidence monitoring. As stated in Cochrane, living systematic reviews are reviews that update as relevant new evidence is identified. They are especially useful when there is rapid accumulation of evidence and a very important research question. Researchers seeking systematic review writing service support should also understand how LSR methodology differs from conventional systematic review update service approaches.
The LSR includes the methodological concepts of the systematic review but uses predefined procedures to keep track of evidence and update it. The systematic review needs to be performed under appropriate methodological guidelines and reported using the PRISMA 2020 along with PRISMA-LSR.
The major difference is that the ongoing predefined surveillance and updating are done in the LSR instead of a completely different approach of systematic review. Search schedules, surveillance procedure, triggers of updates, and incorporation of the evidence need to be predefined in the protocol.[2]
Thus, the major distinction between an LSR and a traditional systematic review is not the methodology used but the regularity and continuity of the evidence surveillance process. LSR guidelines must stipulate the intervals at which searches will take place, screening of new records and inclusion of the newly found evidence. These procedures can complement established approaches to PRISMA systematic review methodology.
Living Systematic Review vs One-Time Systematic Review
One-time review: Search → Screen → Analyse → Publish → Stop
Living review: Search → Screen → Analyse → Publish → Monitor → New evidence → Update → Republish → Continue
The evidence in topics like emerging infections, rapid development of therapies, digital health, and public health initiatives can shift considerably over the course of months.
A review reflects evidence identified through its last search date; relevant studies may appear before or after publication. New evidence may or may not change its conclusions.
Continuous evidence synthesis can help with:
This approach is particularly valuable for researchers conducting Cochrane living systematic review projects where evidence may change rapidly.
An LSR is not always appropriate for all research questions. The rapid availability of information itself does not constitute an adequate reason for undertaking an LSR; there should be uncertainty about the new evidence which can make a significant difference in the findings. Researchers should weigh whether an ordinary systematic review update service will suffice for their evidence. [3]
LSR Considerations Checklist: An LSR may be an appropriate choice if:
| Factor | Conventional Systematic Review | Living Systematic Review |
|---|---|---|
| Surveillance commitment | No routine ongoing surveillance; updates considered when warranted | Ongoing, predefined surveillance |
| Protocol requirements | Protocol specifies methods for the review and any planned updates | Protocol specifies surveillance frequency, updating procedures, and decision rules |
| Update triggers | Update considered when new evidence or changes in the field warrant it | Prespecified criteria guide decisions to incorporate new evidence |
| Status reporting | Findings reported at publication and subsequent updates | Findings and surveillance/update status reported throughout the living process |
LSRs are particularly appropriate when new evidence is expected to emerge frequently and could meaningfully affect the review’s findings or decisions.
A typical Living Systematic Review (LSR) follows a predefined, repeated evidence-synthesis cycl.
Protocol → baseline search, selection, extraction, appraisal and synthesis → baseline publication → ongoing surveillance → assess new evidence → update the synthesis/report or communicate status → continue surveillance.
The protocol should prespecify the search frequency, eligibility criteria, updating procedures, and methods for incorporating new evidence. This helps maintain methodological consistency and transparency throughout the living process. For intervention evidence, GRADE may be used, where appropriate, to assess the certainty of evidence and support interpretation of the findings. The process continues as long as new evidence is expected to remain relevant to the review question.
Synthesis of living evidence is now possible due to advancements in technology and methodology.[4]
Possible uses of AI could be:
Living Guidelines: Yet another development is related to living systematic reviews and living clinical guidelines. Continuous updating of evidence provides more timely evidence base when clinical knowledge changes rapidly.
Technology-Enabled Evidence Surveillance: Modern processes of evidence synthesis now rely more on digital technologies that help to find new publications, perform screening, versioning and communication. Cochrane’s recent training and methodological initiatives are a proof of increasing institutional interest to such technologies.
Cite the responsible AI position statement. Explain task specific validation, human verification and disclosure of tools and their use.
Change “now possible due to” to “increasingly supported by.”
| Advantages | Disadvantages |
|---|---|
|
LSRs could offer more up-to-date information to researchers, clinicians, policymakers, and guideline developers. Additionally, LSRs could prevent the constant need for the creation of a new review where a review that is already available can be continuously updated via a predefined procedure. An LSR can therefore provide an ongoing evidence base for researchers, clinicians, and decision-makers while supporting continuous evidence synthesis. This can be particularly useful when conducting a Cochrane living systematic review or a rapidly evolving meta-analysis writing service project. |
Continuous searches will necessitate a constant access to databases, screening capability, methodological skills, data handling, and publishing. In cases where the initial estimates are unreliable, continuous statistical testing could pose problems and thus require that statistical updating techniques be pre-specified. Trial Sequential Analysis could be employed but does not have to be necessarily used for all LSRs. It would be useful to determine whether the LSR approach is better than updating services. |
An additional difficulty is the determination of when the new article is worth an update of the review. If there is no predefined system, this process may prove to be inefficient.
An LSR does not always have to keep on “living.” There are parameters that should be set to exit from the living state.
These can be based on:
Defining these stopping criteria is an important component of sustainable living evidence synthesis and continuous evidence synthesis.
The way forward in evidence synthesis is clearly towards building living evidence ecosystems involving systematic reviews, evidence surveillance, technology-supported screening, and living guidelines, all interconnected.[5]
The 2024 JBI Manual for Evidence Synthesis also includes consideration of living evidence, thus highlighting the growing methodological interest in living evidence synthesis.
The blend of structured review methodology, automation, AI-driven workflows, and explicit updating protocols may make it possible for researchers to manage evidence more efficiently without compromising on methodology. These developments may also influence future approaches to systematic review writing service, systematic review update service, and meta-analysis writing service.
Live systematic reviews offer another approach to the conventional single-event review where there is a rapid flow of information and current evidence is necessary for making decisions. LSRs help in maintaining up-to-date evidence through combining baseline reviews with continuous evidence surveillance and updating.
But live reviews need extensive methodological preparation, technology infrastructure, human interventions and financial investments. Recent advances in technology like AI, automation, living guidelines, and evidence synthesis technology have increased their possibilities. Living evidence synthesis offers greater benefit than isolated one-time reviews in rapidly changing research problems. A well-designed Cochrane living systematic review approach can further demonstrate how structured continuous evidence synthesis can support timely evidence-based decision-making.
Considering a living systematic review? Discuss your evidence question, surveillance workload and update plan with Pubrica
A living systematic review (LSR) is a continuously updated systematic review that incorporates new relevant evidence as it becomes available. It uses predefined methods for ongoing searching, screening, appraisal, and synthesis.
A traditional systematic review is usually conducted at a specific point in time, while an LSR continuously monitors and updates evidence. This makes LSRs more suitable for rapidly evolving research topics.
LSRs are useful when evidence is emerging rapidly and new studies could change conclusions or influence clinical, research, or policy decisions. They are particularly valuable in areas such as emerging infections and new therapies.
The update frequency depends on how quickly new evidence is expected. The search and update schedule should be predefined in the protocol and may range from monthly to quarterly or another appropriate interval.
LSRs provide current evidence, support timely decision-making, and reduce repeated review work. However, they require continuous resources, database access, screening, methodological expertise, technology, and ongoing funding.
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