Evidence map›Paper›PMID 41917951›Full record

ArticleWorld journal of surgical oncology2026

Impact of the 2023 FIGO staging system on risk stratification in endometrial cancer: a retrospective cohort study.

Feng Chen, Lin Chen, An Yi Teng, Li Juan Huang, Shi Tong Zhan, Ying Ying Zhang, Yu Li, Jia Yang Xia, Ming Min Liu, Ye Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

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.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Feng Chen *Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China.
Lin Chen *Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China.
An Yi Teng *Department of Obstetrics and Gynecology, Shanghai Songjiang District Maternal and Child Health Care Hospital, 1010 Xilin North Road, Songjiang, Shanghai, Postal Code: 201600, China.
Li Juan HuangDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China.
Shi Tong ZhanDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China.
Ying Ying ZhangDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China.
Yu LiShanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Jia Yang XiaDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China. xiajy117@163.com.
Ming Min LiuDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China. 18918251972@163.com.
Ye YangDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 85 Wujin Road, Hongkou, Shanghai, Postal Code: 200080, People's Republic of China. ye.yang@shgh.cn.ORCID http://orcid.org/0000-0002-4180-2822

Funding

National Natural Science Foundation of China 82472727Shanghai Science and Technology Innovation Action Plan - Natural Science Foundation Project 23ZR1451600
6 · The paper itself

Abstract

objectiveTo evaluate the prognostic value of the 2023 FIGO staging system for endometrial cancer (EC) by comparing it with the 2009 FIGO system, using data from Shanghai General Hospital.

methodsWe retrospectively analyzed 331 EC patients (March 2016–August 2025) and re-staged them from the 2009 FIGO criteria to the 2023 FIGO criteria. Molecular subtyping was integrated where available (N = 86). The Net Reclassification Improvement (NRI) was used to evaluate risk stratification. Prognostic factors were identified using logistic and Cox regression models.

resultsRe-staging according to the 2023 FIGO criteria resulted in stage migration for 186 out of 331 patients (56.2%). In the subset with molecular data (n = 86), reclassification occurred in 47 patients (54.7%). Compared to the 2009 system, the 2023 system demonstrated a significant NRI of 100.76% (P < 0.001) for Stages I–II. Key clinicopathological factors independently associated with stage migration included non-endometrioid histology, high tumor grade (G3), and deep myometrial invasion.

conclusionCompared with the 2009 FIGO staging, the 2023 FIGO system significantly improves risk stratification in EC. Its integration of molecular and refined pathological factors facilitates more precise prognostication and supports individualized treatment planning.

Indexed as

Endometrial NeoplasmsNeoplasm StagingAgedFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm GradingNeoplasm InvasivenessPrognosisRetrospective StudiesRisk AssessmentSurvival RateEndometrial cancer (EC)FIGO stageNet reclassification improvement (NRI)Overall survival (OS)Progression-free survival (PFS)

Identifiers

PMID41917951
PMCPMC13169672

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.