ArticleBMC women's health2023
A preoperative nomogram predicting risk of lymph node metastasis for early-stage cervical cancer.
Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 13 citations in OpenAlex.
- Predicting Risk of Lymph Node Metastasis in Neuroendocrine Carcinoma of Cervix: A Validated Nomogram Incorporating Neuroendocrine Markers and Clinical Parameters.Cancer medicine · 2026Article
- The differences of pelvic lymph node metastasis between squamous cell carcinoma and adenocarcinoma in early-stage cervical cancer patients undergoing radical surgery and adjuvant radiotherapy: a large cohort study.Therapeutic advances in medical oncology · 2026Article
- Prediction Model of Lymph Node Metastasis in Cervical Cancer Based on MRI Habitat Radiomics.Cancers · 2025Article
- Prognostic value of ultrasonography findings in patients with cervical cancer.Scientific reports · 2025Article
- A gene-based predictive model for lymph node metastasis in cervical cancer: superior performance over imaging techniques.Journal of translational medicine · 2025Article
- Multidimensional analysis of clinicopathological characteristics and long-term prognosis of colonic signet-ring cell carcinoma.Surgical endoscopy · 2025Article
- Prediction of lymph node metastasis in cervical cancer patients using AdaBoost machine learning model: analysis of risk factors.American journal of cancer research · 2025Article
- Risk factors for pelvic lymph node metastasis in cervical cancer: a retrospective analysis of 186 patients.Frontiers in oncology · 2025Article
- Development and validation of a risk prediction model for lymph node metastasis in stage IA2-IIA1 cervical cancer based on laboratory parameters.American journal of cancer research · 2025Article
- 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.Cancer management and research · 2025Article
- An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer.Frontiers in oncology · 2024Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to develop a preoperative nomogram based on clinical and pathological characteristics to provide a more individualized and accurate estimation of lymph node metastasis (LNM) in patients with early-stage cervical cancer.
methodsA total of 7,349 early-stage cervical cancer patients with pathologically confirmed between 1988 and 2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. All the patients were divided into training (n = 5,500) and validation (n = 1,849) cohorts randomly. A cohort of 455 patients from multicenter was used for the external validation. We established a multivariate logistic regression model based on preoperative clinicopathological data, from which a nomogram was developed and validated. A predicted probability of LNM < 5% was defined as low risk.
resultsFrom multivariate logistic regression analysis, age at diagnosis, histologic subtype, tumor grade, tumor size and FIGO stage were identified as preoperative independent risk factors of LNM. The nomogram incorporating these factors demonstrated good discrimination and calibration (concordance index = 0.723; 95% confidence interval (CI), 0.707-0.738). In the validation cohort, the discrimination accuracy was 0.745 (95% CI, 0.720-0.770) and 0.747 (95% CI, 0.690-0.804), respectively. The nomogram was well calibrated with a high concordance probability. We also established an R-enabled Internet browser for LNM risk assessment, which tool may be convenient for physicians.
conclusionsWe developed an effective preoperative nomogram based on clinical and pathological characteristics to predict LNM for early-stage cervical cancer. This model could improve clinical trial design and help physicians to decide whether to perform lymphadenectomy or not.
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