SIR-EN-New Biomarker for Identifying Patients at Risk of Endometrial Carcinoma in Abnormal Uterine Bleeding at Menopause
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View abstract on PubMed
Summary
This summary is machine-generated.A new biomarker, SIR-En, combining systemic inflammatory reaction (SIR) indices and endometrial thickness, shows promise in identifying endometrial cancer in menopausal women with abnormal uterine bleeding.
Area Of Science
- Gynecology
- Oncology
- Biomarker Discovery
Background
- Abnormal uterine bleeding (AUB) in menopause is a common concern, with endometrial carcinoma being a critical diagnosis.
- Accurate and early identification of endometrial cancer is crucial for timely intervention and improved patient outcomes.
Purpose Of The Study
- To evaluate the efficacy of a novel biomarker, SIR-En, in differentiating endometrial hyperplasia from endometrial carcinoma in menopausal women with AUB.
- To assess the diagnostic performance of SIR-En using receiver operating characteristic (ROC) curve analysis.
Main Methods
- A retrospective case-control study involving 242 menopausal women with AUB and endometrial thickness ≥ 4 mm.
- Calculation of systemic inflammatory reaction (SIR) indices (NLR, MLR, PLR, SII) and derivation of SIR-En (SII × endometrial thickness).
- Statistical analysis including multivariate linear regression and ROC curve analysis to determine diagnostic capability.
Main Results
- The SIR-En index was significantly higher in the endometrial cancer group compared to the endometrial hyperplasia group (p = 0.003).
- The ROC curve analysis yielded an AUC of 0.6351 for SIR-En.
- An optimal SIR-En cutoff of 13,806 demonstrated high specificity (0.940) and positive predictive value (0.957).
Conclusions
- The SIR-En index effectively distinguishes between endometrial hyperplasia and carcinoma in menopausal women with AUB.
- The high specificity and positive predictive value of the identified SIR-En cutoff suggest potential clinical utility.
- Further prospective studies are warranted to validate these findings and optimize clinical application.
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