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Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study.
Xiao, Zheng-Wei; Guo, Hui-Ling; Chen, Hong-Chao; Yan, Lai-Peng; Liao, Yi-Lin; Li, Shu-Lin; Zhao, Li-Lan; Su, Ling-Bo; Li, Jun-Jie; Tang, Fa-Qiang.
Affiliation
  • Xiao ZW; Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
  • Guo HL; Department of Orthopaedics, Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
  • Chen HC; Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
  • Yan LP; Department of Orthopaedics, Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
  • Liao YL; Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
  • Li SL; Department of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
  • Zhao LL; Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
  • Su LB; Department of Orthopaedics, Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
  • Li JJ; Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
  • Tang FQ; Department of Orthopaedics, Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
J Oncol ; 2022: 9935439, 2022.
Article in En | MEDLINE | ID: mdl-35378768
ABSTRACT

Background:

Bone metastasis (BM) has been proven to be responsible for the poor prognosis of primary malignant bone neoplasms (PMBNs). We aimed to identify the prevalence, risk factors, and prognostic factors for PMBNs patients with BM based on the Surveillance, Epidemiology, and End Results (SEER) database.

Methods:

4,758 patients diagnosed with PMBNs from 2010 to 2018 were selected from the SEER database. All patients were divided into two groups the BM group or the non-BM group. Pearson's chi-square test and Fisher's exact method were used to assess baseline characteristics, and logistic regression analysis was applied to assess risk factors. In addition, a nomogram was constructed based on the results of Cox regression analysis among 227 patients with BM. The good performance and clinical applicability of the nomogram were tested by the concordance index, operating characteristic curve, area under the curve, calibration curves, and decision curve analysis.

Results:

227 (4.8%) patients had metastasis to bone at diagnosis. Primary site outside the extremities (axial odds ratio, OR = 1.770; others OR = 1.951), Ewing sarcoma (OR = 2.845), larger tumor size (5-8 cm OR = 3.403; >8 cm OR = 5.562), tumor extension beyond the periosteum (OR = 2.477), and regional lymph node metastasis (OR = 2.900) were associated with a higher risk of BM at the initial diagnosis of PMBNs. Five independent prognostic factors were found in the survival

analysis:

pathological type (chondrosarcoma vs. osteosarcoma hazard ratio, HR = 0.342; Ewing sarcoma vs. osteosarcoma HR = 0.592; and chordoma vs. osteosarcoma HR = 0.015), marital status (HR = 2.457), pulmonary metastasis (HR = 1.934), surgery at the primary site (HR = 0.164), and chemotherapy (HR = 0.084). A nomogram based on these prognostic factors could be a good predictor of cancer-specific survival.

Conclusions:

We identified the prevalence, risk factors, and prognostic factors correlated with BM in PMBNs patients. The related nomogram could be a practical tool for therapeutic decision-making and individual counseling.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Oncol Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Oncol Year: 2022 Document type: Article Affiliation country: China