ArticleBMC cancer2025
Preoperative predictors of endometrial carcinoma in patients undergoing hysterectomy for endometrial intraepithelial neoplasia.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Predictive Value of Preoperative Endometrial Thickness for Concurrent Endometrial Carcinoma in Patients with Endometrial Intraepithelial Neoplasia.Journal of clinical medicine · 2026Article
- Risk factors and predictive modeling for occult endometrial cancer in women with atypical hyperplasia: a retrospective study.Archives of gynecology and obstetrics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatients undergoing surgery for endometrial intraepithelial neoplasia (EIN) have a high likelihood of concurrent endometrial cancer (EC). Lymph node dissection (LND) may be required during the operation. Our aim was to predict the presence of cancer and identify which patients might require lymph node dissection preoperatively. MATERIALS AND
methodsThis study included 172 patients diagnosed with EIN and operated on by gynecologic oncology surgeons between June 2020 and December 2024. Demographic data, imaging findings, examination notes, surgical details, and pathology results were recorded. Initial associations with progression to EC were analyzed using two-sample t-tests and Mann-Whitney U tests for continuous covariates, and odds ratios (OR) with 95% confidence intervals (CI) for categorical covariates. The relationships between Mayo criteria and either LND or endometrial thickness(ET) were evaluated using Fisher's exact test. All p-values were two-sided.
resultsA total of 172 patients were eligible for inclusion. Final pathology revealed EIN in 101 patients (58.7%) and EC in 71 patients (41.3%) after hysterectomy. The likelihood of EC increased with age (< 50 vs. ≥50 years: OR = 3.94, 95% CI: 2.00-7.79, p < 0.001). Diabetes (OR: 2.35, 95% CI: 1.15-4.78, p = 0.019) and hypertension (OR: 2.54, 95% CI: 1.36-4.74, p = 0.004) were more frequently observed in patients with EC compared to those with EIN. Univariate analysis identified age ≥ 50, body mass index (BMI) ≥ 35 kg/m², postmenopausal status, diabetes, hypertension, and ET ≥ 14 mm as variables associated with occult EC. Patients with ET ≥ 14 mm had a fourfold increased likelihood of concurrent EC (aOR: 4.06, 95% CI: 1.89-8.75). Forty-four (62%) patients with endometrial cancer met the Mayo criteria, indicating a need for lymph node dissection.
conclusionAge ≥ 50, postmenopausal status, presence of diabetes and hypertension, BMI ≥ 35 kg/m², and ET ≥ 14 mm are strong predictors of concurrent endometrial cancer. These patients should be referred to gynecologic oncology, as they may require lymph node assessment, including lymphadenectomy or sentinel lymph node biopsy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.