ArticleFrontiers in oncology2020
A Novel Tool to Predict Early Death in Uterine Sarcoma Patients: A Surveillance, Epidemiology, and End Results-Based Study.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Plasma DNA Methylation-Based Biomarkers for MPNST Detection in Patients With Neurofibromatosis Type 1.Molecular carcinogenesis · 2025Article
- Establishment and validation of a nomogram model for predicting early death in patients with endometrial cancer bone metastases.Frontiers in oncology · 2025Article
- Lipoleiomyosarcoma with pleomorphic liposarcoma of the uterus: Computed tomography findings with pathological correlation. A case report and review of literature.Radiology case reports · 2024Article
- Risk factors and nomograms for diagnosis and early death in patients with combined small cell lung cancer with distant metastasis: a population-based study.The Journal of international medical research · 2024Article
- Risk factors of early mortality in patients with small cell lung cancer: a retrospective study in the SEER database.Journal of cancer research and clinical oncology · 2023Article
- Prognostic factors and predictive nomogram models for early death in elderly patients with hepatocellular carcinoma: a population-based study.Frontiers in molecular biosciences · 2023Article
- Fertility-Sparing Management May Be Considered in Young Women with Uterine Sarcoma.Journal of clinical medicine · 2022Article
- Incidence and survival trends in patients with primary tonsillar lymphoma: a large population-based study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022Article
- Risk factors and predictive nomograms for early death of patients with advanced hepatocellular carcinoma: a large retrospective study based on the SEER database.BMC gastroenterology · 2022Article
- Nomogram for predicting postoperative cancer-specific early death in patients with epithelial ovarian cancer based on the SEER database: a large cohort study.Archives of gynecology and obstetrics · 2022Article
- Article
- A Practical Nomogram to Predict Early Death in Advanced Epithelial Ovarian Cancer.Frontiers in oncology · 2021Article
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4 authors.
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Abstract
backgroundUterine sarcoma is a rare gynecologic tumor with a high degree of malignancy. There is a lack of effective prognostic tools to predict early death of uterine sarcoma.
methodsData on patients with uterine sarcoma registered between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) data. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses to construct a nomogram for total early deaths and cancer-specific early deaths.
resultsA total of 5,274 patients with uterine sarcoma were included in this study. Of which, 397 patients experienced early death (≤3 months), and 356 of whom died from cancer-specific causes. A nomogram for total early deaths and cancer-specific early deaths was created using data on age, race, tumor size, the International Federation of Gynecology and Obstetrics (FIGO) staging, histological classification, histological staging, treatment (surgery, radiotherapy, chemotherapy), and brain metastases. On comparing the C-index, area under the curve, and decision curve analysis, the created nomogram showed better predictive power and clinical practicality than one made exclusively with FIGO staging. Calibration of the nomogram by internal validation showed good consistency between the predicted and actual early death.
conclusionsNomograms that include clinical characteristics can provide a better prediction of the risk of early death for uterine sarcoma patients than nomograms only comprising the FIGO stage system. In doing so, this tool can help in identifying patients at high risk for early death because of uterine sarcoma.
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