ArticleJournal of orthopaedic surgery and research2026
Quantitative analysis of the correlation between extraforaminal structures of lumbar spondylolisthesis and L5 nerve injury.
Article in Journal of orthopaedic surgery and research, 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
5 authors.
Funding
Abstract
objectiveThis study aims to analyze the relevant factors leading to extraforaminal L5 nerve root injury (efL5NRI) in patients with lumbar spondylolisthesis based on commonly used radiological data and to develop a diagnostic model.
methodsIn this study, patients with lumbar spondylolisthesis accompanied by efL5NRI (positive group) were compared to those in a control group (patients with lumbar disc herniation or central canal stenosis at the L5 level). Participants were randomly assigned to a training set and a validation set in a 7:3 ratio. Relevant risk factors were then analyzed using Least Absolute Shrinkage and Selection Operator regression. Factors identified in this analysis were subjected to multivariate logistic regression to establish a predictive model. The model's performance was evaluated by analyzing its sensitivity, specificity, and the area under the receiver operating characteristic curve in the validation cohort. Calibration plots and decision curve analysis (DCA) were used to assess the model's calibration and clinical utility.
resultsThrough logistic regression analysis, we identified four relevant factors, including L5 transverse process width, the lumbosacral distance, the pedicle spacing and foraminal area. The logistic model demonstrated that the area under the curve for the training cohort and the validation cohort were 0.949 and 0.899, indicating that the model had good predictive performance. Calibration plots and DCA demonstrated that the model was effective for the diagnosis of efL5NRI.
conclusionWe identified four relevant factors associated with efL5NRI, and subsequently developed a useful predictive model.
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.