Nomograms to predict lung metastasis probability and lung metastasis subgroup survival in malignant bone tumors.

The aim of this study was to construct and validate nomograms for predicting lung metastasis and lung metastasis subgroup overall survival in malignant primary osseous neoplasms. Least absolute shrinkage and selection operator, logistic and Cox analyses were used to identify risk factors for lung metastasis in malignant primary osseous neoplasms and prognostic factors for overall survival in the lung metastasis subgroup. Further, nomograms were established and validated. A total of 3184 patients were collected. Variables including age, histology type, American Joint Committee on Cancer T and N stage, other site metastasis, tumor extension and surgery were extracted for the nomograms. The authors found that nomograms could provide an effective approach for clinicians to identify patients with a high risk of lung metastasis in malignant primary osseous neoplasms and perform a personalized overall survival evaluation for the lung metastasis subgroup.

Citation

Jie Wang, Yonggang Fan, Lei Xia. Nomograms to predict lung metastasis probability and lung metastasis subgroup survival in malignant bone tumors. Future oncology (London, England). 2021 Feb;17(6):649-661

Mesh Tags

PMID: 33464127

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