Development and validation of nomogram based on miR-203 and clinicopathological characteristics predicting survival after neoadjuvant chemotherapy and surgery for patients with non-metastatic osteosarcoma

Cheng, Dong; Qiu, Xubin; Zhou, Ming; Zhu, Caiying; Zou, Hongjun; Zhang, Ailiang

doi:10.18632/oncotarget.18534

Cited by 4 publications

(2 citation statements)

References 30 publications

(35 reference statements)

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“…A nomogram [ 20 , 21 ] is a graphical calculating device, a two-dimensional diagram, designed to allow for approximate graphical computation of a mathematical function. A nomogram was formulated based on the results of multivariate analysis and by using the package of rms in R ( http://www.r-project.org/ ).…”

Section: Methodsmentioning

confidence: 99%

Development and validation of a prognostic nomogram for IgA nephropathy

et al. 2017

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IgA nephropathy (IgAN) shows strong heterogeneity between individuals. IgAN prognosis is associated with pathological lesions and clinical indicators. However, simple tools for evaluating the clinical prognosis remain inadequate. Our objective was to develop an intuitive estimation tool for predicting the IgAN prognosis. 349 patients with IgAN at The Chinese People’s Liberation Army General Hospital were retrospectively analyzed from data between 2000 and 2006. A nomogram was developed using COX regression coefficients to predict decline of estimate Glomerular filtration rate (eGFR) ≥ 50% and end-stage renal disease (ESRD). The discriminative ability and predictive accuracy of the nomogram was determined via concordance index (C-index) and calibration curve. The results were verified in an independent validation cohort. In the derivation cohort, the nomogram was developed using mesangial hypercellularity, tubular atrophy/interstitial fibrosis, average proteinuria (A-P), and average mean arterial pressure (A-MAP) during hospitalization. The C-index of the nomogram was 0.88 (95% CI, 0.80 to 0.96). The calibration curve showed good agreement between prediction and actual observation. Furthermore, the nomogram demonstrated good discrimination (C-index = 0.87, 95% CI 0.78 to 0.95) and calibration in the validation cohort. The nomogram could predict the prognosis of IgAN effectively and intuitively.

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Section: Methodsmentioning

confidence: 99%

Development and validation of a prognostic nomogram for IgA nephropathy

et al. 2017

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“…Traditionally, clinicians have used TNM staging or Enneking staging to assess the prognosis of patients with osteosarcoma [ 7 ]. Unfortunately, even when patients are in the same TNM stage or Enneking stage, their prognosis often varies, suggesting that existing staging systems may be inadequate for making treatment decisions and assessing prognosis.…”

Section: Introductionmentioning

confidence: 99%

A Novel Tool to Predict the Overall Survival of High-Grade Osteosarcoma Patients after Neoadjuvant Chemotherapy: A Large Population-Based Cohort Study

Huang

Wang

et al. 2022

Journal of Oncology

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Background. The goal of this study was to discover clinical factors linked to overall survival in patients with high-grade osteosarcoma who had received neoadjuvant therapy and to develop a prognostic nomogram and risk classification system. Methods. A total of 762 patients with high-grade osteosarcoma were included in this study. In the training cohort, Cox regression analysis models were used to find prognostic variables that were independently linked with overall survival. To predict overall survival at 3, 5, and 8 years, a nomogram is created. In addition, in both the internal and external validation cohorts, receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were utilized to assess the prediction model’s performance. Results. The age, size of the tumor, and the stage of the disease are all important predictive variables for overall survival. The training and validation cohorts have C-indexes of 0.699 and 0.669, respectively. At the same time, the area under the curve values for both cohorts also showed that the nomogram had good discriminatory power. The calibration curve demonstrated the good performance and predictive accuracy of the model. The DCA results suggest that the nomogram has a wide range of therapeutic applications. Furthermore, a new risk classification system based on the nomogram was established, which allows all patients to be classified into three subgroups as high, middle, and low risk of death. Conclusion. The prognostic nomogram constructed in this study may provide a better precise prognostic prediction for patients with high-grade osteosarcoma after neoadjuvant chemotherapy.

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