Observational studyBMC musculoskeletal disorders2018
The association between subgroups of MRI findings identified with latent class analysis and low back pain in 40-year-old Danes.
Observational study in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
- Associations Between Sum Scores or Combinations of MRI Findings in the Lumbar Spine and Low Back Pain-Related Outcomes: A Systematic Review.European journal of pain (London, England) · 2025Pooled it
- Adjacent segment degeneration may predict significantly worse leg pain outcomes after lumbar discectomy.Skeletal radiology · 2026Article
- Associations between single and combined lumbar MRI findings and low back pain with and without leg pain: a cross-sectional study.BMC musculoskeletal disorders · 2026Article
- Societal beliefs about pain may be more balanced than previously thought. Results of the Guernsey pain survey.BMC musculoskeletal disorders · 2024Observational
- Modic changes as seen on MRI are associated with nonspecific chronic lower back pain and disability.Journal of orthopaedic surgery and research · 2023Review
- The association of modic changes and chronic low back pain: A systematic review.Journal of orthopaedics · 2023Review
- Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.Scientific reports · 2022Article
- The Association of MRI Findings and Long-Term Disability in Patients With Chronic Low Back Pain.Global spine journal · 2021Article
- The degenerative lumbar disc: not a disease, but still an important consideration for OMPT practice: a review of the history and science of discogenic instability.The Journal of manual & manipulative therapy · 2020Review
- Does Overall Cervical Spine Pathology Relate to the Clinical Heterogeneity of Chronic Whiplash?The American journal of emergency medicine · 2020Article
- Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?The Journal of orthopaedic and sports physical therapy · 2019Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundResearch into the clinical importance of spinal MRI findings in patients with low back pain (LBP) has primarily focused on single imaging findings, such as Modic changes or disc degeneration, and found only weak associations with the presence of pain. However, numerous MRI findings almost always co-exist in the lumbar spine and are often present at more than one lumbar level. It is possible that multiple MRI findings are more strongly associated with LBP than single MRI findings. Latent Class Analysis is a statistical method that has recently been tested and found useful for identifying latent classes (subgroups) of MRI findings within multivariable datasets. The purpose of this study was to investigate the association between subgroups of MRI findings and the presence of LBP in people from the general population.
methodsTo identify subgroups of lumbar MRI findings with potential clinical relevance, Latent Class Analysis was initially performed on a clinical dataset of 631 patients seeking care for LBP. Subsequently, 412 participants in a general population cohort (the 'Backs on Funen' project) were statistically allocated to those existing subgroups by Latent Class Analysis, matching their MRI findings at a segmental level. The subgroups containing MRI findings from the general population were then organised into hypothetical pathways of degeneration and the association between subgroups in the pathways and the presence of LBP was tested using exact logistic regression.
resultsSix subgroups were identified in the clinical dataset and the data from the general population cohort fitted the subgroups well, with a median posterior probability of 93%-100%. These six subgroups described two pathways of increasing degeneration on upper (L1-L3) and lower (L4-L5) lumbar levels. An association with LBP was found for the subgroups describing severe and multiple degenerative MRI findings at the lower lumbar levels but none of the other subgroups were associated with LBP.
conclusionAlthough MRI findings are common in asymptomatic people and the association between single MRI findings and LBP is often weak, our results suggest that subgroups of multiple and severe lumbar MRI findings have a stronger association with LBP than those with milder degrees of degeneration.
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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.