ReviewCureus2026
Scope, Prospects, and Limitations of Living Systematic Reviews in Medical Literature: A Narrative Overview.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Living systematic reviews (LSRs) have emerged as a response to the persistent lag between the publication of primary research and its incorporation into systematic reviews, a delay that has historically spanned several years and can render a meaningful proportion of reviews outdated within two years of publication. Since their formal introduction in 2014, LSRs have evolved from a single conceptual proposal into a maturing methodological field, supported by a dedicated PRISMA reporting extension, decision frameworks for determining when a living approach is warranted, and demonstrated applications in COVID-19 therapeutics, vaccine effectiveness, long COVID, and the development of formal clinical guidelines. Uptake accelerated markedly during the COVID-19 pandemic, and automation, ranging from human-machine collaborative workflows to large language models, has become central to sustaining the frequency of updates required by the living model, with reported gains in screening and extraction efficiency. However, methodological guidance for reporting and appraising LSRs remains underdeveloped relative to the pace of adoption, statistical methods for repeated meta-analytic updating are heterogeneous and imperfectly matched to network meta-analyses, and operational surveys consistently document inconsistent update schedules, limited communication of living status, and resource constraints that threaten their long-term sustainability. Realizing the full clinical and policy value of LSRs will require coordinated progress across methodological guidance, automation, and institutional support. Hence, this narrative review aims to examine the above concerns related to LSR.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.