Observational, Bivariate Analysis of Clinical Big Data in Patients With Cervical Cancer

This study is a large-scale observational, bi-directional analytical study, which collects clinical data from patients with cervical cancer who have received treatment in the Department of Gynecologic Oncology of the First Hospital Affiliated to the University of Science and Technology of China (Anhui Provincial Hospital), including age, weight, BMI, menopausal status, history of the current disease, past history, specialized examinations, results of tests, results of genetic testing, pathology-related data, and information related to surgery, etc. The diagnosis, subsequent treatment, and follow-up of the subjects follow the routine clinical procedures of the clinical center. The diagnosis and subsequent treatment and follow-up of the subjects followed the routine clinical procedures of the clinical center, and the follow-up data of the enrolled patients were collected every six months: imaging, tumor markers, recurrence and treatment. And clinical big data analysis. Therefore, patients who meet the enrollment criteria can be included, and the sample size is based on the actual number of cases included.

Inclusion criteria

• Age ≥ 18 years;
• patients with a clear pathological diagnosis of cervical cancer;
• all patients included in this study were diagnosed after 1 January 2010
• Diagnosis or treatment of cervical cancer at the centres covered by this study;
• exemption from informed consent or signing of an informed consent form.

Exclusion criteria

• Loss of contact during the follow-up period for no apparent reason;
• Discharged from the hospital for follow-up treatment at an outside institution with unknown treatment status;
• The investigator considers the patient unsuitable for participation in this study;
• cases where the clinical diagnosis is in doubt or unclear.