Competing risk nomogram predicting cancer‐specific mortality for endometrial cancer patients treated with hysterectomy

Xie, Gongnan; Qi, Cuifang; Yang, Wenfang; Wang, Ruiqi; Yang, Lei; Shang, Li; Huang, Liyan; Chung, Mei

doi:10.1002/cam4.3887

Cited by 12 publications

(10 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those aged over 80 years had a high risk and a shorter OS (50–59 years: hazard ratio [HR] 1.93, 95% confidence interval [CI] 1.61–2.32; ≥80 years: HR 8.39, 95% CI 6.98–10.07). This finding was consistent with the results of other studies, 8,10,11 except for Bendifallah et al, 9 who indicated by a nomogram that the level of evidence for an association with OS for age was inconclusive. Research by Kang et al 12 showed that para‐aortic lymph node metastasis was not associated with age.…”

Section: Discussionsupporting

confidence: 92%

“…The Kaplan–Meier curve showed that FIGO Stage had a significant impact on OS, which was consistent with Yan et al's External verification, 8 who found that tumor size is associated with OS. The result of FIGO Stage was also consistent with research by Bendifallah et al 9 The histology results were not consistent with Xie et al's research, 10 the carcinoma had a larger patient population and was related to a shorter OS. In the process of developing the nomogram, we found that age played a pivotal role in total points.…”

Section: Discussionsupporting

confidence: 68%

See 1 more Smart Citation

A nomogram for predicting overall survival in patients with endometrial carcinoma: A SEER‐based study

Yue

2022

Intl J Gynecology & Obste

View full text Add to dashboard Cite

Objective To construct and validate a nomogram for patients with endometrial carcinoma to predict the 3‐ and 5‐year overall survival (OS) based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods Demographic and clinical pathologic characteristics of patients with endometrial carcinoma diagnosed between 1973 and 2015 were extracted from the SEER database. Univariate and multivariate Cox analyses were carried out to identify the independent characteristics and further included into the construction of a nomogram. Finally, concordance index and calibration curves were used to validate the nomogram. Results A total of 49 844 patients were enrolled into our analysis. The results of univariate Cox analysis showed that age, race, marital status, FIGO Stage, grade, and metastatic status to bone, brain, lung, or liver were significant factors. Multivariate Cox analysis was performed and it confirmed all factors as independent variables. Next, a nomogram was constructed using these independent variables in prediction of the 3‐ and 5‐year OS. Furthermore, results with concordance indices (0.852 in training set and 0.861 in validation set) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. Conclusions The individualized nomogram demonstrated a good ability in prognostic prediction for patients with endometrial carcinoma.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 68%

A nomogram for predicting overall survival in patients with endometrial carcinoma: A SEER‐based study

Yue

2022

Intl J Gynecology & Obste

View full text Add to dashboard Cite

show abstract

“…This was necessary because the traditional staging classification, commonly used for survival prediction and clinical strategies for cancer patients, cannot accurately and consistently distinguish the difference in survival among various stages. The nomogram is a comprehensive, accurate, and useful predictive model that has been used for many types of malignancies [ 25 ]. In this study, five independent prognostic factors, age, race, tumor size, grade, and radiotherapy, identified through univariate and multivariate Cox regression analyses, were engaged in the clinical nomogram.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Cancer-Specific Survival of Brainstem Glioma in Children Based on Risk Stratification Model

Sun

Fei

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Objective. To develop and authenticate a risk stratification framework and nomogram for ascertaining cancer-specific survival (CSS) among the pediatric brainstem gliomas. Methods. For patients less than 12 years, according to Surveillance, Epidemiology, and End Results (SEER), information from 1998 to 2016 is found in their databases. The survival outcomes, treatments, and demographic clinicopathologic conditions are scrutinized per the database validation, and training cohorts are divided and validated using multivariate Cox regression analysis. A nomogram was designed, and predominantly, the risk stratification conceptualization engaged selected tenets according to the multivariate analysis. The model’s authenticity was substantiated through C-index measure and calibration curves. Results. There are 806 pediatric concerns of histologically concluded brainstem glioma in the research. According to multivariate analysis, age, grade, radiotherapy, and race (with P value < 0.05) depicted independent prognostic variations of the pediatric gliomas. The nomogram’s C-index was approximately 0.75 and an accompanied predictive capability for CSS. Conclusion. The nomogram constructed in this glioma’s context is the primary predictor of using risk stratification. A combination of nomograms with the risk stratification mechanism assists clinicians in monitoring high-risk individuals and engage targeted accessory treatment.

show abstract

“…This study also has certain limitations. Firstly, tumor size has been identified as an independent prognostic factor in endometrial cancer and somewhat suggests a possible correlation with survival in patients with chordoma [27]. Due to the large percentage of missing information (39.2% in the original data), the present study, unfortunately, did not include the above indicator.…”

Section: Discussionmentioning

confidence: 95%

“…It is well known that spinal and pelvic chordoma is most prevalent in people over the age of 40, who often have more chronic underlying diseases and therefore have competing risks that should not be ignored. Up to now, competing-risk-based prognostic nomograms have been constructed in remarkable amounts of cancers, such as endometrial cancer, spinal and pelvic chondrosarcoma, maxillary sinus carcinoma, and primary fallopian tube carcinoma [27][28][29][30]. Nonetheless, there is a lack of research on the use of competing risk model to construct nomogram to assess survival outcomes in patients with spinal and pelvic chordoma.…”

Section: Introductionmentioning

confidence: 99%

Competing risk nomogram for predicting prognosis of patients with spinal and pelvic chordoma: A SEER-based retrospective study

Yuan

et al. 2023

Eur Spine J

View full text Add to dashboard Cite

Purpose Recently, competing risk nomograms were widely applied to predict prognosis in numerous tumors other than chordoma. Here, we aimed to construct and validate a competing-risk-based prognostic nomogram to predict 3- and 5-year cancer-specific death (CSD) in patients with spinal and pelvic chordoma. Methods All chordoma patient data were abstracted from the Surveillance, Epidemiology, and End Results (SEER) resource, and a total of 485 chordoma patients were eventually included in this study. Multivariate competing risk model and multivariate Cox model were used to determine independent prognostic factors, respectively, and the results of the two models were compared. Nomogram was employed to visualize the competing risk model. The discrimination, calibration, and clinical utility of this model were evaluated by Harrell concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Ten-fold cross-validation was further utilized to validate the prognostic nomogram. Results Significant prognostic factors affecting CSD were age (P = 0.016), localized involvement (P < 0.0001), and radical resection (P < 0.001) in the multivariate competing risk model. C-indexes were 0.799 and 0.76, and AUC were 0.812 and 0.778 for 3- and 5-year CSD. Calibration plots demonstrated the nomogram was well-fitted, and DCA indicated good clinical utility. The nomogram showed good performance in the 10-fold cross-validation. Conclusion We successfully built the first competing-risk-based nomogram to predict clinical outcomes in patients with spinal and pelvic chordoma. This well-established nomogram hopes to help clinicians with precise prognostic assessment and thus improve clinical outcomes.

show abstract

Competing risk nomogram predicting cancer‐specific mortality for endometrial cancer patients treated with hysterectomy

Cited by 12 publications

References 31 publications

A nomogram for predicting overall survival in patients with endometrial carcinoma: A SEER‐based study

A nomogram for predicting overall survival in patients with endometrial carcinoma: A SEER‐based study

Prediction of Cancer-Specific Survival of Brainstem Glioma in Children Based on Risk Stratification Model

Competing risk nomogram for predicting prognosis of patients with spinal and pelvic chordoma: A SEER-based retrospective study

Contact Info

Product

Resources

About