ReviewEFORT open reviews2023
Lumbar joint position sense measurement of patients with low back pain.
Review in EFORT open reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07492784 (Investigation of the Effect of a Virtual Reality-Based Back School Program on Pain, Functionality, and Kinesiophobia), which is not on this map. Cited by 6 papers.
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.
Investigation of the Effect of a Virtual Reality-Based Back School Program on Pain, Functionality, and Kinesiophobia
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Associations between postural kyphosis and tactile sensation, proprioception, and body image in young individuals: an analytical cross-sectional study.BMC musculoskeletal disorders · 2026Observational
- Reliability and criterion validity of a wearable IMU for ankle joint position sense: agreement with isokinetic dynamometry and discrimination of chronic ankle instability.BMC sports science, medicine & rehabilitation · 2026Article
- Article
- Whole-body vibration training reduces erector spinae stiffness by ultrasound shear-wave elastography: a randomized controlled trial.BMC sports science, medicine & rehabilitation · 2025Article
- Subgroup Characteristics of Middle-Aged and Older Women with Chronic Low Back Pain by Multiple Factors: A Hierarchical Cluster Analysis.Journal of functional morphology and kinesiology · 2025Article
- Current status and challenges in lumbar proprioception measurement: a narrative review.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lumbar position sense can be assessed by measurement instruments including the goniometer, isokinetic dynamometry, and electronic motion monitoring equipment, which have demonstrated relatively high reliability. This literature provides a comprehensive overview of influencing factors of lumbar position sense measurement, including repositioning method, fatigue degree, and posture during the reposition. It highlights the significant role of muscle proprioception, which contributes to greater accuracy in active reposition compared to passive reposition. The differences in lumbar position sense with different measurement positions may be explained by the presence of mechanoreceptors in the load-bearing structures of the lumbar spine, especially in the facet joint capsules. These mechanoreceptors play a crucial role in providing sensory feedback and proprioceptive information pertaining to the position and movement of the lumbar spine. Individuals with low back pain (LBP) demonstrate alterations in lumbar position sense compared to those without LBP. The auto motor sensory feedback transmission mechanism of patients with non-specific LBP was more unstable than that of healthy people. These findings suggest that lumbar position sense may play a potential role in the development and perpetuation of LBP. At present, the commonly used clinical assessment methods for determining position sense include both active and passive repositioning. However, neither method exhibits high sensitivity and specificity, leading to the poor comparability of relevant studies and posing challenges for clinical application.
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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.