ArticleJournal of orthopaedic surgery and research2025
Analysis of related factors affecting the postoperative clinical outcome of cervical ossification of the posterior longitudinal ligament.
Article in Journal of orthopaedic surgery and research, 2025. 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
14 authors.
Funding
Abstract
purposeTo establish a risk prediction model for postoperative outcomes in patients with ossification of the posterior longitudinal ligament (OPLL), identify key risk factors, and provide a theoretical basis for personalized treatment.
methodsClinical data of 384 OPLL patients undergoing cervical spine surgery were retrospectively analyzed. Potential predictors were screened using univariate analysis, and independent risk factors were determined through multivariate logistic regression. A dynamic nomogram was constructed, and its performance was evaluated with the concordance index (C-index), receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test, and decision curve analysis (DCA).
resultsFour independent risk factors were identified and incorporated into the prediction model. The model demonstrated high accuracy and stability, with C-index values of 0.880 (training cohort) and 0.915 (validation cohort). ROC curve analysis confirmed excellent discrimination, while calibration and DCA showed good clinical applicability.
conclusionAdvanced age, history of trauma, surgical approach, and spinal cord T2 hyperintensity on imaging are independent predictors of postoperative outcomes in OPLL patients. The developed nomogram provides a reliable tool for individualized risk assessment and clinical decision-making. These findings warrant further validation in multicenter cohorts.
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.