The Impact of the Inflammation Index on Predicting Postoperative Complications in Ovarian Cancer

NCT ID: NCT06798610

Last Updated: 2025-01-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

228 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-01

Study Completion Date

2024-03-31

Brief Summary

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Advanced-stage ovarian cancer surgery is a procedure that inherently carries a high risk of mortality and morbidity. However, there are some uncertainties regarding whether these complications can be predicted before the operation. In this study, we aimed to examine the relationship between complications and inflammation.

Detailed Description

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Objective: Cytoreductive surgery (CRS) is the most important treatment method that increases survival in advanced-stage ovarian cancer patients. However, complications after CRS are seen as a significant cause of morbidity and mortality. Preoperative risk assessment of patients is of great importance. In recent years, inflammatory markers have been the subject of many studies evaluating malignancy and surgical outcomes. Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic inflammation index (SII), and systemic inflammatory response index (SIRI) stand out as prognostic and predictive tools in malignancies. This study aims to evaluate the preoperative inflammatory markers in patients who underwent CRS for advanced-stage epithelial ovarian cancer and to investigate the predictive power of postoperative complications.

Materials and Methods: This retrospective study examines patients who underwent CRS due to advanced-stage epithelial OC at Sakarya University Training and Research Hospital between 2014 and 2023. Postoperative complications of the patients were graded according to the Clavien-Dindo classification; NLR, PLR, SII, and SIRI values were calculated using preoperative laboratory data, and the predictive values of inflammatory markers were analyzed with ROC curves.

Conditions

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Complications Ovarian Cancer

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patients who underwent cytoreductive surgery due to advanced-stage ovarian cancer

The study will investigate the complications that develop within one month following cytoreductive surgery in patients with advanced-stage ovarian cancer. It will explore the relationship between these complications and preoperative inflammatory markers

No interventions assigned to this group

Eligibility Criteria

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Exclusion Criteria

* Pregnant patients or patients with hematological diseases.
* Patients with thrombotic diseases.
* Patients with immunological diseases.
* Patients with severe liver or kidney diseases, patients with a previous history of cancer.
* Patients receiving anticoagulant and/or antiplatelet therapy due to venous or arterial thromboembolism.
Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Sakarya University

OTHER

Sponsor Role lead

Responsible Party

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OSMAN KÖSE, MD

assistant professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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osman köse, ass. proff.

Role: STUDY_DIRECTOR

Sakarya University Faculty of Medicine

Locations

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Sakarya University Faculty of Medicine

Adapazarı, Sakarya, Turkey (Türkiye)

Site Status

Sakarya University Faculty of Medicine

Sakarya, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

Other Identifiers

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E.309436-346

Identifier Type: -

Identifier Source: org_study_id

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