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The goal of this observational study is to identify predictive factors and to develop a risk model predicting para-aortic lymph node metastasis in patients with locally advanced cervical cancer based on the analysis of surgical staging results. The main questions it aims to answer are:
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Individual data of 336 patients with locally advanced cervical cancer treated with surgical staging at our institution from January 2020 to August 2022 were pooled analysed. The following factors were collected from each patient to identify variables predicting para-aortic lymph node metastasis: age, T-staging,histopathological type,tumor size, differentiation, pretreatment tumor markers (squamous carcinoma antigen, carcinoembryonic antigen, Carbohydrate antigen 125 and cytokeratin fragment 21-1 , human papilloma virus type, the status of pelvic lymph node on images, common iliac lymph node and the short-axis diameter of the largest positive and the status of para-aortic lymph node on surgical staging results. Multivariate Logistic regression analysis was used to develop the prediction model. A simplified scoring system for each independent predictive factors was developed according to its coefficient. Internal validation was performed to assess the model. An independent validation cohort contained 116 patients with the same criteria from March 2018 to December 2019.
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452 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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