ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026
A meta-model of low back pain to examine collective expert knowledge of treatment effects and their mechanisms.
Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Advances in the Measurement and Interpretation of Intervertebral Motion in the Lumbar Spine: A Scoping Review.Bioengineering (Basel, Switzerland) · 2026Review
Corrections and comments
- Update of
Authors and funding
32 authors.
Funding
Abstract
purposeLow back pain (LBP) is a complex, multifactorial condition with numerous contributors across biopsychosocial domains. To advance understanding of this complexity, we synthesized diverse expert knowledge on treatment effectiveness and underlying mechanisms using a systems-based, collaborative modeling approach.
methodsTwenty-nine experts from diverse disciplines created individual fuzzy cognitive maps (FCMs) to represent their understanding of factors affecting pain, disability, and quality of life (QoL), along with treatment mechanisms. These maps were aggregated into a meta-model comprising 142 Components and 1,161 weighted Connections. Centrality was used to quantify the relative contribution of each domain within the meta-model. Simulations with the meta-model based on expert knowledge (1) estimated the relative effectiveness of treatments on pain, disability, and QoL and (2) identified key Mediators and mediating Domains based on their relative contribution to mediating treatment effects.
resultsPsychological, biomechanical, and social/contextual Domains were central to expert conceptualizations of LBP. Simulation indicated cognitive behavioral therapy was considered the most effective among all interventions. Most interventions were mediated by Components across multiple Domains, with psychological factors frequently serving as mediators. The structure of the conceptual meta-model reflected both the multifactorial complexity of LBP and the diversity of expert perspectives regarding factors that influence treatment effectiveness.
conclusionThe developed meta-model provides a novel, systems-based representation of expert knowledge about LBP, enabling quantitative exploration of treatment effects and underlying mechanisms. This conceptual framework also offers a foundation for advancing research on multi-modal, personalized care.
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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.