A nomogram for determining the disease-specific survival in invasive lobular carcinoma of the breast

Abstract

We aimed to establish and validate a nomogram for predicting the disease-specific survival of invasive lobular carcinoma (ILC) patients. The Surveillance, Epidemiology, and End Results program database was used to identify ILC from 2010 to 2015, in which the data was extracted from 18 registries in the US. Multivariate Cox regression analysis was performed to identify independent prognostic factors and a nomogram was constructed to predict the 3-year and 5-year survival rates of ILC patients based on Cox regression. Predictive values were compared between the new model and the American Joint Committee on Cancer staging system using the concordance index, calibration plots, integrated discrimination improvement, net reclassification improvement, and decision-curve analyses. In total, 4155 patients were identified. After multivariate Cox regression analysis, nomogram was established based on a new model containing the predictive variables of age, the primary tumor site, histology grade, American Joint Committee on Cancer TNM (tumor node metastasis) stages II, III, and IV, breast cancer subtype, therapy modality (surgery and chemotherapy). The concordance index for the training and validation cohorts were higher for the new model (0.781 and 0.832, respectively) than for the old model (0.733 and 0.779). The new model had good performance in the calibration plots. Net reclassification improvement and integrated discrimination improvement were also improved. Finally, decision-curve analyses demonstrated that the nomogram was clinically useful. We have developed a reliable nomogram for determining the prognosis and treatment outcomes of ILC. The new model facilitates the choosing of superior medical examinations and the optimizing of therapeutic regimens with cooperation among oncologists.

Development and validation of a nomogram to predict overall survival in young non-metastatic rectal cancer patients after curative resection: a population-based analysis

“…Nomogram is a visual and individualized tool for predicting prognosis. By integrating more clinicopathological variables, nomograms can provide a more accurate prognosis than the TNM staging system [9][10][11]. At present, several nomograms about rectal cancer had been reported [34][35][36].…”

“…Nomograms have been regarded as reliable and effective tools to evaluate cancer outcomes by incorporating various pathological and clinical characteristics. It has been recognized that nomograms do better than traditional TNM staging systems in assessing the prognosis of cancer [9][10][11]. Nevertheless, there is no nomogram to predict the overall survival (OS) in young non-metastatic RC patients after curative resection.…”

Nomogram for Prediction of Diabetic Retinopathy Among Type 2 Diabetes Population in Xinjiang, China

“… 26 It is generally believed that AUC greater than 0.8 is of great diagnostic value, and the specific predictive value should be evaluated in combination with clinical practice. Meanwhile, The nomogram was subjected to bootstrapping validation (1000 bootstrap resamples) to calculate an optimism-corrected Harrell’s C statistic (C-index) 19 , 27 in the development group and the validation group, respectively. Calibration degree is an important index to evaluate the accuracy of disease risk model in predicting the probability of individual future outcome events.…”

“… 15–17 among which building nomogram is one of the hottest research directions. In the latest research, 15 , 18 , 19 the use of nomogram prediction has shown good performance.…”

Development and validation of a nomogram to predict overall survival in young non-metastatic rectal-cancer patients after curative resection: A Population-Based Analysis

“…Nomograms have been regarded as reliable and effective tools to evaluate cancer outcomes by incorporating various pathological and clinical characteristics. It has been recognized that nomograms do better than traditional TNM staging system in assessing the prognosis of cancer [12][13][14]. Nevertheless, there is no nomogram to predict the overall survival (OS) in young non-metastatic RC patients after curative resection.…”