ArticleGlobal spine journal2024
Prediction of Survival Prognosis for Spinal Metastasis From Cancer of Unknown Primary: Derivation and Validation of a Nomogram Model.
Article in Global spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- Prognostic Value of Perioperative Anemia in Neurosurgical-Oncological Treatment of Spinal Metastases.International journal of cancer · 2026Article
- Integrating artificial intelligence into cancers of unknown primary diagnosis and treatment.iScience · 2026Review
- Cancer-specific survival patterns in patients with bone metastasis: a registry-based analysis of 13,742 patients.Scientific reports · 2026Article
- Multimodal MRI-based clinical radiomics model for predicting postoperative anemia in patients with spinal metastases.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 · 2025Article
- Malnutrition in Spine Oncology: Where Are We and What Are We Measuring?Global spine journal · 2025Article
- The utilization of hypoalbuminemia as a prognostic metric in patients with spinal metastases: A scoping review.Brain & spine · 2025Review
- Reply to the Letter to the Editor: Are Current Survival Prediction Tools Useful When Treating Subsequent Skeletal-related Events From Bone Metastases?Clinical orthopaedics and related research · 2024Article
- Risk Factors for Poor Outcome after Palliative Surgery for Metastatic Spinal Tumors.Journal of clinical medicine · 2023Article
- Development of a web-based calculator to predict three-month mortality among patients with bone metastases from cancer of unknown primary: An internally and externally validated study using machine-learning techniques.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designRetrospective and prospective cohort study.
objectivesSurvival estimation is necessary in the decision-making process for treatment in patients with spinal metastasis from cancer of unknown primary (SMCUP). We aimed to develop a novel survival prediction system and compare its accuracy with that of existing survival models.
methodsA retrospective derivation cohort of 268 patients and a prospective validation cohort of 105 patients with SMCUP were performed. Univariate and multivariable survival analysis were used to generate independently prognostic variables. A nomogram model for survival prediction was established by integrating these independent predictors based on the size of the significant variables'
resultsThe survival prediction model included six independent prognostic factors, including pathology (
conclusionsThe novel nomogram system can be applied in survival prediction for SMCUP patients, and furtherly be used to give individualized therapeutic suggestions based on patients' prognosis.
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