ArticleBMC cancer2019
A clinical model to predict the risk of synchronous bone metastasis in newly diagnosed colorectal cancer: a population-based study.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Predicting extensive metastasis in postoperative oligometastatic colorectal cancer.International journal of colorectal disease · 2025Article
- Construction and validation of machine learning models for predicting distant metastases in newly diagnosed colorectal cancer patients: A large-scale and real-world cohort study.Cancer medicine · 2024Article
- The tumor characteristics, treatment strategy, and prognosis in colorectal cancer patients with synchronous liver metastasis in China and the USA.International journal of colorectal disease · 2023Article
- Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer.Frontiers in public health · 2022Article
- Survival outcomes in unresectable metastatic rectal cancer patients after both primary site resection and chemoradiotherapy: a SEER-based observational study.Translational cancer research · 2022Article
- Development and validation of risk and prognostic nomograms for bone metastases in Chinese advanced colorectal cancer patients.Annals of translational medicine · 2021Article
- Nomogram for predicting occurrence and prognosis of liver metastasis in colorectal cancer: a population-based study.International journal of colorectal disease · 2021Article
- Survival outcome and prognostic factors for colorectal cancer with synchronous bone metastasis: a population-based study.Clinical & experimental metastasis · 2021Article
- Nomogram Predicts Risk and Prognostic Factors for Bone Metastasis of Pancreatic Cancer: A Population-Based Analysis.Frontiers in endocrinology · 2021Article
- Nomogram to predict the risk and survival of synchronous bone metastasis in colorectal cancer: a population-based real-world analysis.International journal of colorectal disease · 2020Article
- Predictive Risk Factors and Online Nomograms for Synchronous Colon Cancer With Liver Metastasis.Frontiers in oncology · 2020Article
- Evaluation of Risk Factors, and Development and Validation of Prognostic Prediction Models for Distant Metastasis in Patients With Rectal Cancer: A Study Based on the SEER Database and a Chinese Population.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe early detection of synchronous bone metastasis (BM) in newly diagnosed colorectal cancer (CRC) affects its initial management and prognosis. A clinical model to individually predict the risk of developing BM would be attractive in current clinical practice.
methodsA total of 55,869 CRC patients were identified from Surveillance, Epidemiology, and End Results (SEER) database, of whom 317 patients were diagnosed with synchronous BM. Risk factors for BM in CRC patients was identified using multivariable logistic regression. A weighted scoring system was built with beta-coefficients (P < 0.05). A random sample of 75% of the CRC patients was used to establish the risk model, and the remaining 25% was used to validate its accuracy of this model. The performance of risk model was estimated by receiver operating curve (ROC) analysis.
resultsThe risk model consisted of 8 risk factors including rectal cancer, poorly-undifferentiation, signet-ring cell carcinoma, CEA positive, lymph node metastasis, brain metastasis, liver metastasis and lung metastasis. The areas under the receiver operating curve (AUROC) were 0.903 and 0.889 in the development and validation cohort. Patients with scores from 0 to 4 points had about 0.1% risk of developing BM, and the risk increased to about 30% in patients with scores ≥15 points.
conclusionsThis clinical risk model is accurate enough to identify the CRC patients with high risk of synchronous BM and to further provide more individualized clinical decision.
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