Research on Nutritional Risk Indexes and Inflammatory Indicators in Postoperative Complications and Prognosis of Epithelial Ovarian Cancer Patients

Qinglei Gao

Status: Completed

Conditions: Epithelial Ovarian Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT06483399

2024-TJ-NIOC

Details and patient eligibility

About

The goal of this observational study is to explore the influence and predictive significance of nutritional risk indicators and inflammatory indicators on postoperative complications and prognosis of patients with epithelial ovarian cancer (EOC). The main question it aims to answer is:

Can preoperative nutritional risk and inflammatory indexes predict postoperative complications? Do preoperative nutritional risk and inflammatory indexes better predict the prognosis of patients with epithelial ovarian cancer? Which index is the best predictor of postoperative complications or prognosis for patients?

Enrollment: 1,108 patients

Sex: Female

Volunteers: No Healthy Volunteers

Inclusion criteria

1. histologically confirmed primary epithelial ovarian, peritoneal, and fallopian tube cancers.
2. patients received comprehensive staged surgery or debulking surgery.
3. available data of laboratory examination within 7 days before the surgery.

Exclusion criteria

1. borderline ovarian tumor.
2. receipt of neoadjuvant chemotherapy.
3. presence of other conditions influencing laboratory data, like hepatitis, kidney disease, autoimmune diseases, infectious diseases, blood disease, etc.
4. concurrent cancer in other organs.
5. absence of surgery or biopsy only.
6. multiple staged surgeries.

Trial design

1,108 participants in 2 patient groups

Low [index] group

Description:

The patients were grouped according to the cut-off value of each index, and the patients whose index value was lower than the cut-off value were classified as the Low \[index\] group.

High [index] group

Description:

The patients were grouped according to the cut-off value of each index, and the patients whose index value was higher than the cut-off value were classified as the High \[index\] group.