ArticleAnnals of translational medicine2021
Development and validation of predictive model for lymph node metastasis in endometrial cancer: a SEER analysis.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- A nomogram model based on dual-center data predicts lymph node metastasis in endometrial cancer.Discover oncology · 2026Article
- External validation of CEA and CA125 prediction model for lymph node metastasis in endometrial cancer: A multi-institute cohort study.Cancer biomarkers : section A of Disease markers · 2025Article
- Metabolic syndrome score as an indicator in a predictive nomogram for lymph node metastasis in endometrial cancer.BMC cancer · 2023Article
- Metabolic risk score as a predictor in a nomogram for assessing myometrial invasion for endometrial cancer.Oncology letters · 2023Article
- Expression of EMT-related genes in lymph node metastasis in endometrial cancer: a TCGA-based study.World journal of surgical oncology · 2023Article
- The association of tumor diameter with lymph node metastasis and recurrence in patients with endometrial cancer: a systematic review and meta-analysis.Translational cancer research · 2022Article
- A Model to Identify Candidates for Lymph Node Dissection Among Patients With High-Risk Endometrial Endometrioid Carcinoma According to Mayo Criteria.Frontiers in oncology · 2022Article
- Prognostic model for the exemption of adjuvant chemotherapy in stage IIIC endometrial cancer patients.Frontiers in endocrinology · 2022Article
- A Review of Laparoscopic Para-aortic Lymphadenectomy for Early-stage Endometrial Cancer: Extraperitoneal Approach May Have the Advantage over Intraperitoneal Approach.Gynecology and minimally invasive therapyReview
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7 authors.
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Abstract
backgroundThe purpose of this study was to develop a nomogram that can be used to predict lymph node metastasis (LNM) in patients with endometrial cancer (EC).
methodsThe clinical data of EC patients diagnosed between 2004 and 2015 were retrieved from the Surveillance, Epidemiology, and End Results Program (SEER) registry. The nomogram was constructed using independent risk factors chosen by a multivariate logistic regression analysis. Accuracy was validated for both groups using discrimination analysis and calibration curves.
resultsThe final study group consisted of 63,836 women that met specific inclusion criteria. The factors that were identified in the multivariate analysis to be significant predictors of LNM were age, tumor size, histological type, myometrial invasion, cervical stromal invasion, and tumor grade in training group (N=42,558). These variables were included in the nomogram. Discriminations of the nomogram and Mayo criteria were 0.848 (95% CI: 0.843-0.853) and 0.806 (95% CI: 0.801-0.812), respectively. In the validation group (N=21,278), the AUC values were 0.847 (95% CI: 0.840-0.857) and 0.804 (95% CI: 0.796-0.813) for the nomogram and the Mayo criteria, respectively (P<0.01). Calibration plots showed that training and validation cohorts were well-calibrated.
conclusionsA nomogram was developed to predict LNM in EC patients based on a large population-based analysis. The nomogram showed good performance for predicting LNM in patients with EC. This convenient predictive tool may help clinicians to formulate suitable individualized treatment.
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