A novel nomogram incorporating preoperative systemic inflammatory response index and clinicopathological parameters for predicting lymph node metastasis in endometrial cancer - Scorecard - MDSpire
Advertisement
A novel nomogram incorporating preoperative systemic inflammatory response index and clinicopathological parameters for predicting lymph node metastasis in endometrial cancer
Clinical Scorecard: A New Nomogram Utilizing Preoperative Systemic Inflammatory Response Index and Clinical-Pathological Factors to Assess Lymph Node Metastasis Risk in Endometrial Cancer
At a Glance
Category
Detail
Condition
Endometrial Cancer
Key Mechanisms
Preoperative systemic inflammatory response index (SIRI) and clinicopathological parameters for predicting lymph node metastasis (LNM).
Target Population
Patients with FIGO stage I–III endometrial cancer.
Care Setting
Oncology surgical settings.
Key Highlights
SIRI has an AUC of 0.773 for predicting LNM with 74.2% sensitivity and 75.8% specificity.
A nomogram combining SIRI and clinicopathological factors achieved an AUC of 0.889.
The optimal cutoff value of SIRI for predicting LNM is 1.115.
Guideline-Based Recommendations
Diagnosis
Utilize preoperative SIRI as an independent predictor of lymph node metastasis in endometrial cancer.
Management
Employ the nomogram for individualized preoperative risk stratification and surgical decision-making.
Monitoring & Follow-up
Monitor patients based on stratification from the nomogram to guide adjuvant therapy decisions.
Risks
Consider the risks of unnecessary lymphadenectomy in low-risk patients.
Patient & Prescribing Data
1,336 patients with endometrial cancer who underwent primary surgery.
Preoperative SIRI can enhance risk stratification and reduce unnecessary surgical interventions.
Clinical Best Practices
Incorporate systemic inflammatory indices in preoperative assessments.
Use the nomogram for better prediction of lymph node metastasis.
