Evidence map›Paper›PMID 41775255›Full record

ArticleJournal of gynecologic oncology2026

Clinical application value of the updated FIGO 2023 classification compared with FIGO 2009 for endometrial cancer staging in a Chinese cohort.

Xiaoyan Zhao, Lili Sun, Fujing Sun, Yushui Liu, Xin Zhang, Yanmei Zhu

Abstract readComparative Study
In one paragraph

Article in Journal of gynecologic oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Xiaoyan Zhao *Department of Gynecology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID https://orcid.org/0009-0000-8866-3850
Lili Sun *Department of Pathology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID https://orcid.org/0000-0002-2656-693X
Fujing SunDepartment of Pathology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID https://orcid.org/0009-0003-3315-0849
Yushui LiuGraduate School, Dalian Medical University, Dalian, China.ORCID https://orcid.org/0009-0009-8938-7347
Xin ZhangDepartment of Gynecology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China. zhangxiangmiao@hotmail.com.ORCID https://orcid.org/0000-0002-4743-2578
Yanmei ZhuDepartment of Pathology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China. zhuyanmei@cancerhosp-ln-cmu.com.ORCID https://orcid.org/0000-0001-5526-7624

Funding

Fundamental Research Funds for the Central Universities LD2023010Fundamental Research Funds for the Central Universities LD2023017Fundamental Research Funds for the Central Universities LD2023019Liaoning Provincial Natural Science Foundation 2024-MS-271
6 · The paper itself

Abstract

objectiveTo compare the predictive performance of the International Federation of Gynecology and Obstetrics (FIGO) 2009 and FIGO 2023 staging systems for endometrial cancer (EC) and to assess whether FIGO 2023 system better predicts patient prognosis.

methodsA retrospective analysis of 640 EC patients was conducted, with staging according to the 2009 and 2023 FIGO systems. Kaplan-Meier survival analysis, hazard ratios (HRs), Harrell's concordance index (C-index), and Akaike's Information Criterion (AIC) were used to assess model performance.

resultsA change to a higher substage occurred in 148 patients (23.1%), whereas 12 patients (1.9%) were down-staged, based on the FIGO 2009 staging system. Among early-stage patients, 9 and 62 were reclassified from early-stage (I and II) to IAm

conclusionThe FIGO 2023 system provided a better model fit and higher predictive accuracy than the FIGO 2009 system. Molecular subtyping was crucial for prognoses of patients with advanced EC (stage III/IV).

Indexed as

Endometrial NeoplasmsNeoplasm StagingAdultAgedAged, 80 and overChinaDisease-Free SurvivalEast Asian PeopleFemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisRetrospective StudiesCancer StagingClassificationEndometrial CancerMolecularSurvival

Identifiers

PMID41775255
PMCPMC13365738

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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 OpenQuestion graph.