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 predictiament injuryve nomogram for cervical anterior longitudinal ligament injury.
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. 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
6 authors.
Funding
Abstract
objectiveTo develop a nomogram-based predictive model for anterior longitudinal ligament (ALL) injury caused by cervical spine trauma.
methodsA total of 256 patients with cervical hyperextension injuries were included in this study. Univariate and multivariable logistic regression analyses were used to select the predictive variables, and subsequently, a nomogram model was developed. Finally, the model was validated using both the training and validation datasets.
resultsThe nomogram model included five predictive factors: thickness of prevertebral soft tissue (TOPST), intervertebral disk angle (IDA), avulsion fracture of the anterior edge of the vertebral body (AFOA), ALL disruption observed in T1-weighted sequence (T1D), and high signal intensity in T2-weighted sequence (T2HS). The areas under the curve (AUC) for the training and validation sets were 0.986 and 0.987, respectively. The calibration curves for both the training and validation sets showed slopes close to 1, indicating good calibration. Decision curve analysis demonstrated that the model performed well and was feasible for making beneficial clinical decisions.
conclusionsThe nomogram model based on TOPST, IDA, AFOA, T1D, and T2HS is a reliable tool for predicting cervical ALL injury.
Indexed as
Identifiers
40804497What 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.