A novel nomogram incorporating preoperative systemic inflammatory response index and clinicopathological parameters for predicting lymph node metastasis in endometrial cancer

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The study evaluated the preoperative systemic inflammatory response index (SIRI) as a predictor of lymph node metastasis (LNM) in endometrial cancer (EC).
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A total of 1,336 EC patients were enrolled, with 947 in the training cohort and 389 in the external validation cohort for model assessment.
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SIRI demonstrated an area under the curve (AUC) of 0.773 for predicting LNM, with a sensitivity of 74.2% and specificity of 75.8%.
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A nomogram combining SIRI with age, CA125, histological type, and molecular classification achieved an AUC of 0.889, outperforming models based on SIRI or clinicopathological factors alone.
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The study concluded that preoperative SIRI is an independent predictor of LNM, aiding in individualized preoperative risk stratification for surgical decision-making.

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