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Record W7116948351 · doi:10.21037/jss-25-102

The effect of baseline spinal magnetic resonance imaging features on restorative neurostimulation efficacy in patients with chronic low back pain

2025· article· en· W7116948351 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Spine Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity of Waterloo
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsNeurostimulationContraindicationLow back painMagnetic resonance imagingLumbarDegeneration (medical)Population

Abstract

fetched live from OpenAlex

Background: Multifidus muscle may be reflexively inhibited by painful co-existing structural degenerative features, affecting spinal loading and control in patients with chronic low back pain (cLBP). This study aimed to investigate the relationship between magnetic resonance imaging (MRI) features of lumbar spine degeneration and their influence on clinical outcomes of multifidi neurostimulation for cLBP. Methods: This is a secondary analysis of a Food and Drug Administration (FDA) randomized controlled trial testing the efficacy of an implantable neurostimulator targeting the L2 dorsal rami medial branch nerves innervating the deep multifidi in 204 subjects. Degenerative anatomical features of the lumbar discs, vertebrae, facets, and paraspinal muscles were graded using standardized criteria. Patient-reported outcomes (PROs), including visual analog scale (VAS), Oswestry Disability Index (ODI), and the five-level version of the EuroQol five-dimensional descriptive system (EQ-5D-5L), were collected at baseline, 12, and 24 months. Mixed-design analysis of variance (ANOVA) and post hoc pairwise t-tests were performed to evaluate changes in outcomes in relation to individual demographic variables and MRI features. Results: Included 204 subjects [110 females, 94 males; age: mean ± standard deviation (SD) =47±9 years; body mass index (BMI): mean ± SD =28±4 kg/m2] at baseline had, on average, cLBP for 14±11 years, average VAS of 7.3±0.7 cm, ODI of 39.1±10.3 points, EQ-5D-5L of 0.585±0.174, and mean percentage of days with cLBP in the year before enrollment was 97%±8%. In comparing PRO responses with MRI features, there was no significant finding (P>0.05) explaining improvements in pain, disability, and quality of life for subjects with multifidus atrophy and fatty infiltration, facet arthropathy, disc herniation, annular tears, Modic changes, or lumbar degenerative disc disease. Mixed-design ANOVA revealed statistically significant pre- to post-implantation differences for VAS and ODI for patients with stable, grade I spondylolisthesis (P=0.009, np2=0.031 and P=0.040, np2=0.021). Differences for those with stable, grade I spondylolisthesis were statistically significant and clinically relevant at 12 months in VAS, ODI, and EQ-5D-5L (P=0.006, P=0.040, P<0.001; Cohen’s d =0.539, d =0.396, d =−0.689) and these comparative improvements remained significant for ODI and EQ-5D-5L at 24 months (P=0.03 and P=0.02; Cohen’s d =0.420, d =−0.441). Conclusions: Results indicate that, in a population of cLBP patients, existing lumbar spinal degeneration did not influence the effect of the neurostimulation therapy on PROs. Thus, the presence of mild and moderate lumbar spinal degeneration does not appear to be a contraindication for implantable multifidus neurostimulation, including patients with grade I spondylolisthesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.251
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it