Evidence map›Paper›PMID 40350433›Full record

ArticleWorld journal of surgical oncology2025

Comparing survival outcomes between surgical and non-surgical treatments in patients with early-onset endometrial cancer and developing a nomogram to predict survival: a study based on Eastern and Western data sets.

Yunfeng Zheng, Ran Hu, Fan Yang, Gaohua Liu, Tianyu Peng, Langting Xie, Jie Wu, Lamei Hou, Rui Yuan

Abstract readComparative Study
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yunfeng ZhengDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.ORCID http://orcid.org/0000-0002-0694-1026
Ran HuDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Fan YangCentre for Lipid Research & Chongqing Key Laboratory of Metabolism On Lipid and Glucose, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Department of Infectious Diseases, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Gaohua LiuInstitute of Clinical Medicine, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, 421001, China.
Tianyu PengDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Langting XieDepartment of Gynecology and Obstetrics, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Jie WuDepartment of Gynecology, People's Hospital of Fengjie, Chongqing, 404600, China.
Lamei HouDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. hou198535@163.com.
Rui YuanDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. yrui96@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgery is the preferred approach for treating endometrial cancer (EC). However, the prognosis of young women undergoing surgery has not been thoroughly evaluated. This study aims to establish a prognostic nomogram for predicting overall survival (OS) in postoperative patients with early-onset endometrial cancer (EOEC), facilitating risk stratification for high-risk patients.

methodsPatients diagnosed with EOEC during 2004-2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The nomogram of OS was established according to the multivariate Cox regression analyses. The prediction accuracy and clinical net benefit of the model were assessed by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Additionally, external validation was performed with 230 EOEC patients who underwent primary surgical treatment at the First Affiliated Hospital of Chongqing Medical University from 2013 to 2018.

resultsThe mean survival period in the surgical group of EOEC was 87.62 months (range: 86.92-88.32), compared to 64.00 months (range: 55.05-72.96) in the non-surgical group. Compared with the non-surgical group, patients who underwent surgery had better outcomes. A total of 4345 eligible postoperative patients with EOEC were identified and enrolled in this study. Multivariate Cox analysis showed that age, race, grade, T stage, tumor size, and lymphadenectomy were significantly associated with the prognosis of EOEC, which were further incorporated to construct a nomogram. C-index and DCA showed the predictive capability and the clinical applicability of the nomogram was superior over the TNM stage and SEER stage. Furthermore, the external validation using the FAHCQMU cohort consistently demonstrated good predictive accuracy.

conclusionsGenerally, we developed a novel nomogram model by comprehensively integrating multiple risk factors, which accurately predicts the clinical prognosis of EOEC patients after surgery.

Indexed as

Endometrial NeoplasmsHysterectomyNomogramsAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedPrognosisRetrospective StudiesSEER ProgramSurvival Rateearly-onsetEndometrial cancerNomogramOverall survivalRisk stratificationSEER

Identifiers

PMID40350433
PMCPMC12067707

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