ArticleBMC cancer2017
Development and external validation of nomograms to predict the risk of skeletal metastasis at the time of diagnosis and skeletal metastasis-free survival in nasopharyngeal carcinoma.
Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Development and validation of a metabolic syndrome-based nomogram to predict 1-year metastasis after radiotherapy in locally advanced nasopharyngeal carcinoma.Annals of medicine · 2026Article
- A CLINICAL PREDICTION MODEL FOR SHORT-TERM PROGNOSIS IN PATIENTS WITH NON-ACUTE MYOCARDIAL INFARCTION-RELATED CARDIOGENIC SHOCK.Shock (Augusta, Ga.) · 2025Article
- LASSO-Cox model in the prognostic evaluation of radiochemotherapy efficacy for lymph node metastatic nasopharyngeal carcinoma.Frontiers in oncology · 2025Article
- Shoulder Metastasis: A Rare Nasopharyngeal Carcinoma Presentation.The American journal of case reports · 2022Article
- Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram.Clinical rheumatology · 2022Article
- Small extracellular vesicles in metabolic remodeling of tumor cells: Cargos and translational application.Frontiers in pharmacology · 2022Review
- Nomogram for the prediction of primary distant metastasis of nasopharyngeal carcinoma to guide individualized application of FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2021Article
- HOXA9 Expression is Associated with Advanced Tumour Stage and Prognosis in Nasopharyngeal Carcinoma.Cancer management and research · 2021Article
- Development of a Nomogram Model for Treatment of Nonmetastatic Nasopharyngeal Carcinoma.JAMA network open · 2020Article
- Pattern and prognosis of distant metastases in nasopharyngeal carcinoma: A large-population retrospective analysis.Cancer medicine · 2020Article
- Bone Metastases Pattern in Newly Diagnosed Metastatic Nasopharyngeal Carcinoma: A Real-World Analysis in the SEER Database.BioMed research international · 2020Article
- Development and validation of a prognostic nomogram for the pre-treatment prediction of early metachronous metastasis in endemic nasopharyngeal carcinoma: a big-data intelligence platform-based analysis.Therapeutic advances in medical oncology · 2020Article
- Expression and clinical significance of PD-L1 and BRAF expression in nasopharyngeal carcinoma.BMC cancer · 2019Article
- Article
- Development and external validation of a nomogram for predicting the overall survival of patients with stage II nasopharyngeal carcinoma after curative treatment.Cancer management and research · 2019Article
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9 authors.
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Abstract
backgroundThe skeletal system is the most common site of distant metastasis in nasopharyngeal carcinoma (NPC); various prognostic factors have been reported for skeletal metastasis, though most studies have focused on a single factor. We aimed to establish nomograms to effectively predict skeletal metastasis at initial diagnosis (SMAD) and skeletal metastasis-free survival (SMFS) in NPC.
methodsA total of 2685 patients with NPC who received bone scintigraphy (BS) and/or 18F-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and 2496 patients without skeletal metastasis were retrospectively assessed to develop individual nomograms for SMAD and SMFS. The models were validated externally using separate cohorts of 1329 and 1231 patients treated at two other institutions.
resultsFive independent prognostic factors were included in each nomogram. The SMAD nomogram had a significantly higher c-index than the TNM staging system (training cohort, P = 0.005; validation cohort, P < 0.001). The SMFS nomogram had significantly higher c-index values in the training and validation sets than the TNM staging system (P < 0.001 and P = 0.005, respectively). Three proposed risk stratification groups were created using the nomograms, and enabled significant discrimination of SMFS for each risk group.
conclusionThe prognostic nomograms established in this study enable accurate stratification of distinct risk groups for skeletal metastasis, which may improve counseling and facilitate individualized management of patients with NPC.
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