ArticleJournal of inflammation research2024
Nomogram Based on Immune-Inflammatory Score and Classical Clinicopathological Parameters for Predicting the Recurrence of Endometrial Carcinoma: A Large, Multi-Center Retrospective Study.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Diagnostic performance of systemic inflammatory and nutritional indices and their association with clinicopathological features in endometrial cancer: a retrospective study.BMC women's health · 2026Observational
- Article
- Nomogram Based on Pan-Immune Inflammation Value and Clinicopathological Parameters for Predicting the Recurrence of Endometrial Cancer and Providing Postoperative Prognostic Management.Annals of surgical oncology · 2026Article
- The prognostic significance of JAML and its role in remodeling the immune microenvironment via the cGAS-STING pathway in endometrial cancer.Frontiers in immunology · 2026Article
- Predictive value of models based on MRI radiomics and clinical indicators for lymphovascular space invasion in endometrial cancer.BMC cancer · 2025Article
- Nomogram based on the novel index LANR, composed of preoperative lymphocytes, albumin, and neutrophils, for predicting prognosis in patients with gastric cancer: a retrospective study.Frontiers in oncology · 2025Article
- Nomogram Incorporating Inflammatory Index, Pathology, and Molecular Classification for Predicting Recurrence in Patients with Stage I-III Endometrial Cancer: A Multi-Institutional Study.Journal of inflammation research · 2025Article
- Remodeling the tumor microenvironment: regulatory effects of β-sitosterol and luteolin on the immunosuppressive milieu in endometrial carcinoma and implications for combinatorial immunotherapy.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Surgery is the best approach to treat endometrial cancer (EC); however, there is currently a deficiency in effective scoring systems for predicting EC recurrence post-surgical resection. This study aims to develop a clinicopathological-inflammatory parameters-based nomogram to accurately predict the postoperative recurrence-free survival (RFS) rate of EC patients. Methods: A training set containing 1068 patients and an independent validation set consisting of 537 patients were employed in this retrospective study. The prognostic factors for RFS were identified by univariable and multivariable Cox proportional hazards regression analyses, and integrated into nomogram. The C-index, area under the curves (AUC), and calibration curves were employed to determine the predictive discriminability and accuracy of nomogram. Utilizing the nomogram, patients were stratified into low- and high-risk groups, and the Kaplan-Meier survival curve was further employed to assess the clinical efficacy of the model. Results: Cox regression analyses revealed that age (HR = 1.769, Conclusion: The nomogram demonstrated sufficient accuracy in predicting the RFS probabilities of EC, enabling personalized clinical decision-making for future clinical endeavors.
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