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比较基于人群的初诊癌症患者队列中医生报告的与患者报告的功能状态对生存预测的能力。

Comparing the Ability of Physician-Reported Versus Patient-Reported Performance Status to Predict Survival in a Population-Based Cohort of Newly Diagnosed Cancer Patients.

机构信息

Division of Oncology, Department of Radiation Oncology, University of Calgary, Tom Baker Cancer Center, Calgary, Alberta, Canada.

ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

出版信息

Clin Oncol (R Coll Radiol). 2021 Jul;33(7):476-482. doi: 10.1016/j.clon.2021.01.008. Epub 2021 Feb 3.

DOI:10.1016/j.clon.2021.01.008
PMID:33549463
Abstract

AIMS

Performance status is an important prognostic tool in cancer. In oncology, the Eastern Cooperative Oncology Group (ECOG) measure is commonly used. Patient-reported functional status (PRFS) is an emerging method that allows patients to provide an estimate of their function; however, there is limited information about its prognostic significance. The aim of this study was to compare the predictive validity of functional status as reported by patients and physicians in relation to the observed survival after a new cancer diagnosis.

MATERIALS AND METHODS

This was a retrospective, population-based study using observational data of newly diagnosed patients in Ontario, Canada. We included patients who had both PRFS and ECOG recorded on the same day during an outpatient cancer clinic visit between March 2013 and March 2018. The dataset was randomly divided into 60% training and 40% validation cohorts. One-year survival was estimated by modelling clinical characteristics with PRFS, with ECOG, and alone.

RESULTS

In total, 13 045 patients met the inclusion criteria. Covariates were similar at baseline for both training and validation datasets. PRFS and ECOG scores were statistically significant predictors of overall survival. Higher PRFS and ECOG scores were both associated with inferior survival, hazard ratio = 1.71 (P < 0.0001) and hazard ratio = 1.90 (P < 0.0001), respectively. Models that included either PRFS or ECOG scores outperformed the model with clinical characteristics only. C statistics were 0.836, 0.839 and 0.811, respectively.

CONCLUSIONS

PRFS adds to survival modelling and is equally predictive as the ECOG scale. PRFS may be used instead of ECOG in clinical or research settings for survival estimation.

摘要

目的

体能状态是癌症的重要预后工具。在肿瘤学中,通常使用东部肿瘤协作组(ECOG)量表。患者报告的功能状态(PRFS)是一种新兴的方法,允许患者估计自己的功能;然而,关于其预后意义的信息有限。本研究的目的是比较患者和医生报告的功能状态与新诊断癌症后观察到的生存之间的预测有效性。

材料和方法

这是一项回顾性、基于人群的研究,使用了加拿大安大略省新诊断患者的观察数据。我们纳入了在 2013 年 3 月至 2018 年 3 月期间门诊癌症诊所就诊期间同一天记录了 PRFS 和 ECOG 的患者。数据集随机分为 60%的训练集和 40%的验证集。通过使用 PRFS、ECOG 和单独的临床特征来建模来估计 1 年生存率。

结果

共有 13045 名患者符合纳入标准。训练集和验证集的基线协变量相似。PRFS 和 ECOG 评分是总体生存的统计学显著预测因子。较高的 PRFS 和 ECOG 评分均与较差的生存相关,风险比=1.71(P<0.0001)和风险比=1.90(P<0.0001)。包含 PRFS 或 ECOG 评分的模型优于仅包含临床特征的模型。C 统计量分别为 0.836、0.839 和 0.811。

结论

PRFS 增加了生存模型的预测能力,与 ECOG 量表具有同等的预测能力。在临床或研究环境中,PRFS 可替代 ECOG 用于估计生存率。

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