External validation of prognostic scores and comparison of predictive accuracy for patients with colorectal cancer with peritoneal metastases considered for cytoreductive surgery and intraperitoneal chemotherapy

Author:

Kozman Mathew A.12ORCID,Fisher Oliver M.134,Liauw Winston23,Morris David L.13ORCID,Cashin Peter H.5ORCID

Affiliation:

1. Department of Surgery, Hepatobiliary and Surgical Oncology Unit St George Hospital Kogarah New South Wales Australia

2. Cancer Care Centre St George Hospital Kogarah New South Wales Australia

3. St George Hospital Clinical School University of New South Wales Sydney New South Wales Australia

4. School of Medicine University of Notre Dame Sydney New South Wales Australia

5. Department of Surgical Sciences, Section of Surgery, Uppsala University Akademiska Sjukhuset Uppsala Sweden

Abstract

AbstractBackground and ObjectivesPrognostic scores are developed to facilitate the selection of patients with colorectal cancer peritoneal metastases (CRPM) for treatment with cytoreductive surgery (CRS) ± intraperitoneal chemotherapy (IPC). Three prominent prognostic scores are the Peritoneal Surface Disease Severity Score (PSDSS), the Colorectal Peritoneal Metastases Prognostic Surgical Score (COMPASS), and the modified COloREctal‐Pc (mCOREP). We externally validate these scores and compare their predictive accuracy.MethodsData from consecutive CRPM patients who underwent CRS/IPC from 1996 to 2018 was used to externally validate COMPASS, PSDSS, and mCOREP. Analysis evaluated the efficacy of each score in predicting (1) open–close laparotomy—those found at laparotomy to not be eligible for curative intent CRS/IPC, (2) surgical futility—those who underwent open–close laparotomy, palliative debulking surgery, or had an overall survival of less than 12 months, and (3) overall and recurrence‐free survival (OS, RFS).ResultsPrognostic scores were calculated for the 174‐patient external validation cohort. COMPASS was most accurate in predicting open–close laparotomy, futile surgery, and survival (OS and RFS). Area under the curve (AUC) for open–close prediction was 0.78 (95% confidence interval, CI: 0.68–0.87), representing useful discrimination. However, AUC for futility prediction was 0.62 (95% CI: 0.52–0.71), and C‐statistic for OS was 0.65 indicating only possibly helpful discrimination. C‐statistic for RFS was 0.59 indicating poor discrimination.ConclusionWhile COMPASS showed the best statistical behavior, accuracy for several clinically relevant outcomes remains low, and thus applicability to clinical practice limited.

Publisher

Wiley

Subject

Oncology,General Medicine,Surgery

全球学者库

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

"全球学者库"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,当前全球学者库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 © 2019-2023 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