ArticleCancers2021
Novel Nomograms-Based Prediction Models for Patients with Primary Undifferentiated Pleomorphic Sarcomas Resections.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Prediction of primary blast lung injury outcomes in goats using CT and injury factors.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Article
- Advancing Prognostics in Oncology: Developing a Machine Learning Model for Predicting 2-Year and 5-Year Survival Rates in Patients with Undifferentiated Pleomorphic Sarcoma.Annals of surgical oncology · 2025Article
- Maximal resection for malignant scalp tumors: is it valuable for long-term follow-up?Translational cancer research · 2025Article
- Development and external validation of a machine learning model for prediction of survival in undifferentiated pleomorphic sarcoma.Musculoskeletal surgery · 2024Article
- Serum lactate dehydrogenase as a novel prognostic factor for patients with primary undifferentiated pleomorphic sarcomas.Journal of cancer research and clinical oncology · 2023Article
- A novel immune-related gene signature predicting survival in sarcoma patients.Molecular therapy oncolytics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundUndifferentiated pleomorphic sarcomas (UPS) were one of the most common soft tissue sarcomas. As UPS had relatively high potentials of recurrence and metastasis, we designed two nomograms to better predict the overall survival (OS) and time to recurrence (TTR) for patients who underwent primary surgery.
methodsThe data of UPS patients who underwent primary surgery were extracted from Shanghai Cancer Center, Fudan University. Multivariate analyses were performed using Cox proportional hazards regression to identify independent prognostic factors. Kaplan-Meier analysis was used to compare differences for patients who underwent primary surgery in OS and TTR. Nomograms were designed with the help of R software and validated using calibration curves and receiver operating characteristic curves (ROC).
resultsKaplan-Meier curves showed that patients with older ages (
conclusionsSome important parameters could be used to predict the outcome of individual UPS patients such as mitotic age, rates, surgical margin, and invasive depth. We developed two accurate and practicable nomograms that could predict 3- and 5-year OS and TTR for UPS patients, which could be involved in the modern medical decision-making process.
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