ArticleBMC cancer2025
Preoperative risk stratification in endometrial cancer using ESGO/ESTRO/ESP 2021 guidelines: accuracy with and without molecular classification.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07546825 (Perioperative Outcomes of Surgical Staging in Patients With Early-stage Endometrial Carcinoma), which is not on this map. Cited by 1 paper.
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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.
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.
Perioperative Outcomes of Surgical Staging in Patients With Early-stage Endometrial Carcinoma: Comparison Between Laparoscopy and Laparotomy in a Low-resource Setting
Who cites it
1 citing paper in PubMed.
- Development and Internal Validation of a Nomogram for Predicting Recurrence in Endometrial Cancer Based on Pathological and Histological Indicators.Cancer management and research · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study aimed to evaluate the impact of integrating molecular classification with imaging-based preoperative staging on risk stratification prediction in endometrial cancer patients in accordance with ESGO/ESTRO/ESP (European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology) 2021 guidelines.
methodsA retrospective cohort of 143 endometrial cancer patients was analyzed to assess changes in preoperative risk stratification after incorporating molecular classification into clinical evaluation. Preoperative clinical staging was primarily based on transvaginal ultrasound imaging. The overall agreement between preoperative risk group estimates (with/without molecular classification) and final postoperative outcomes was assessed using weighted Cohen's Kappa, with bootstrap 95% confidence intervals and quadratic weights.
resultsThe addition of molecular classification significantly improved preoperative risk stratification accuracy (from 59.4 to 73.4%), particularly for patients post-operatively classified as high-risk. Kappa values indicated an improvement in overall agreement between preoperative and postoperative risk stratification following the addition of molecular classification, from 0.551 (95% CI: 0.430-0.671) to 0.767 (95% CI: 0.675-0.849). The non-overlapping confidence intervals indicated statistical significance. Preoperative assessment without molecular input tended to underestimate risk stratification. However, 26.6% of patients remained misclassified due to other factors, mostly within the intermediate and high-intermediate risk groups.
conclusionsIncorporating molecular classification enhances preoperative risk stratification and has the potential to tailor surgical treatment. Further validation through prospective multicentric studies is needed to support our findings.
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