ArticleScientific reports2024
Construction of a nomogram for predicting the prognosis of patients with cervical spondylotic myelopathy: a retrospective study.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for progression and outcomes in degenerative cervical myelopathy: a systematic review and critical appraisal.Frontiers in neurology · 2026Pooled it
- Machine learning prediction of surgical approach and clinical heterogeneity in cervical spondylotic myelopathy.BMC musculoskeletal disorders · 2026Article
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7 authors.
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Abstract
Cervical spondylotic myelopathy (CSM) is a neurological disorder characterized by degenerative changes in the spinal cord and compression of the spinal cord and its adjacent structures due to various reasons, such as intervertebral disc herniation. The Japan Orthopaedic Association score is a disease-specific outcome tool that provides quantitative measurements for CSM patients. At present, no scholars have developed a model that can directly predict the prognosis of CSM patients. This study used binary logistic regression analysis to identify clinical independent predictive factors, and then used R language to construct a nomogram. The results showed that Hb (0.71 [0.51, 0.99]), LYM (0.32 [0.22, 0.46]), and ALB (0.32 [0.23, 0.45]) were independent predictive factors. Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups. Hb, LYM, ALB are independent predictors of the prognosis of ACDF in CSM patients. The constructed nomogram can help clinicians assess and treat patients early, benefiting more patients.
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