Prognostic performance of pretreatment systemic immune-inflammation index in women with epithelial ovarian cancer

Author:

Okunade Kehinde S123ORCID,John-Olabode Sarah O4ORCID,Soibi-Harry Adaiah P2ORCID,Okoro Austin C2,Adejimi Adebola A5ORCID,Ademuyiwa Iyabo Y6ORCID,Osunwusi Benedetto2ORCID,Adelabu Hameed3,Salako Omolola7ORCID

Affiliation:

1. Department of Obstetrics & Gynaecology, College of Medicine, University of Lagos, Surulere, Lagos, Nigeria

2. Department of Obstetrics & Gynaecology, Lagos University Teaching Hospital, Surulere, Lagos, Nigeria

3. Center for Clinical Trial, Research, & Implementation Science (CCTRIS), College of Medicine, University of Lagos, Lagos, Nigeria

4. Department of Haematology & Blood Transfusion, College of Medicine, University of Lagos, Lagos, Nigeria

5. Department of Community Health & Primary Care, College of Medicine, University of Lagos, Lagos, Nigeria

6. Department of Nursing Science, College of Medicine, University of Lagos, Lagos, Nigeria

7. Department of Radiation Biology, Radiotherapy & Radiodiagnosis, College of Medicine, University of Lagos, Lagos, Nigeria

Abstract

Purpose: This study investigated the prognostic performance of the systemic immune-inflammation index (SII) in patients with epithelial ovarian cancer (EOC) in Lagos, Nigeria. Methods: We performed a secondary analysis of the data of 91 women who had treatment for EOC between 2009 and 2018. The associations between pretreatment SII and survivals were tested. Results: Pretreatment SII more than 610.2 was a significant independent predictor of reduced progression-free survival (HR = 2.68; 95% CI, 1.17 to 6.09) while SII greater than 649.0 was a significant independent predictor of reduced 3-year overall survival (HR = 2.01; 95% CI, 1.01 to 3.99). Conclusion: These findings suggest that high SII may be a potential prognostic indicator and useful marker for more intensive surveillance and design of personalized treatment in patients with EOC.

Funder

Fogarty International Center

Publisher

Future Science Ltd

Subject

Biotechnology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3