Trial reportJournal of neuro-oncology2019
Development and validation of a prognostic nomogram for the overall survival of patients living with spinal metastases.
Trial report in Journal of neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive value of frailty indices for postoperative outcomes of metastatic spine tumor: a systematic review and meta-analysis.Journal of orthopaedic surgery and research · 2026Pooled it
- Development and validation of a risk prediction model for postoperative urinary retention after gynecologic abdominal-pelvic surgery.Scientific reports · 2025Article
- Article
- A nomogram prediction model for the TP53mut subtype in endometrial cancer based on preoperative noninvasive parameters.BMC cancer · 2023Article
- Development of a Dynamic Nomogram for Predicting the Probability of Satisfactory Recovery after 6 Months for Cervical Traumatic Spinal Cord Injury.Orthopaedic surgery · 2023Article
- Metabolic risk score as a predictor in a nomogram for assessing myometrial invasion for endometrial cancer.Oncology letters · 2023Article
- A population-based study of synchronous distant metastases and prognosis in patients with PDAC at initial diagnosis.Frontiers in oncology · 2023Article
- A nomogram prediction model for lymph node metastasis in endometrial cancer patients.BMC cancer · 2021Article
- Bisphosphonates May Reduce Intraoperative Blood Loss in Surgery for Metastatic Spinal Disease: A Retrospective Cohort Study.Clinical interventions in aging · 2021Article
- Nomogram for Predicting the Postoperative Venous Thromboembolism in Spinal Metastasis Tumor: A Multicenter Retrospective Study.Frontiers in oncology · 2021Article
- Predictive Model and Risk Factors for Case Fatality of COVID-19: A Cohort of 21,392 Cases in Hubei, China.Innovation (Cambridge (Mass.)) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe primary goal of treatment in spinal metastasis is typically to extend patients' lifespan as much as possible, and optimally to relieve the symptoms and so improve quality of life. It is crucial to avoid over- or under-treatment, according to each patient's individual situation. Thus, this study aimed to identify significant prognostic factors for patients living with metastatic spine disease, and create a new nomogram for the prediction of survival rates.
methodsData from patients who had undergone operations for spinal metastasis between 2005 and 2016 were retrieved retrospectively, and randomized into training (70%) and validation groups (30%). A selection of pre-operative factors was analyzed using univariable and multivariable COX model for the training group. A nomogram was then developed using significant predictors in multivariable analysis. Accuracy was validated using a concordance index (C-index) and calibration curve for the training and validation groups, respectively.
resultsA total of 244 participants were enrolled, including 171 in the training group and 73 in the validation group. Primary tumor, Frankel Grade, Karnofsky Performance Score (KPS) and adjuvant therapy were found to be significant for predicting survival rates. A nomogram was developed by utilizing these predictors. The C-indexes for the two groups were 0.711 and 0.703 respectively. Moreover, a favorable consistency between the predicted and actual survival probabilities was demonstrated using calibration curves.
conclusionsA user-friendly nomogram model for facilitating medical procedures during clinical encounters was established to aid clinical decision making for individual patients.
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