A Nomogram Based on Fibrinogen-to-Neutrophil Ratio as a Novel Predictor of Lymph Node Metastasis in Patients with Cervical Cancer and Type 2 Diabetes Mellitus
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View abstract on PubMed
Summary
This summary is machine-generated.The fibrinogen-to-neutrophil ratio (FNR) can help predict pelvic lymph node metastasis in cervical cancer patients with type 2 diabetes. A nomogram integrating FNR and other factors shows promise for personalized treatment strategies.
Area Of Science
- Oncology
- Diabetology
- Biomarker Discovery
Background
- Rising cervical cancer incidence in diabetic patients poses global health challenges.
- Pelvic lymph node metastasis is a critical prognostic factor in early-stage cervical cancer.
- Accurate preoperative prediction of lymph node metastasis is vital for personalized treatment.
Purpose Of The Study
- To evaluate the fibrinogen-to-neutrophil ratio (FNR) as a biomarker for pelvic lymph node metastasis in cervical cancer patients with type 2 diabetes.
- To develop and validate a predictive model for lymph node metastasis.
Main Methods
- Retrospective analysis of 141 cervical cancer patients with type 2 diabetes.
- Data split into training (n=98) and validation (n=43) sets.
- Univariate and multivariate logistic regression to identify risk factors; nomogram construction.
Main Results
- A nomogram integrating FNR, triglycerides, maximum diameter, and total protein effectively predicts pelvic lymph node metastasis.
- This integrated model outperforms single biomarkers in predictive accuracy.
Conclusions
- The fibrinogen-to-neutrophil ratio (FNR) is a promising biomarker for assessing lymph node metastasis risk in diabetic cervical cancer patients.
- An integrated predictive model offers a reliable approach for identifying high-risk individuals.
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