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肿瘤学家和他们的患者意见一致吗?——探索临床医生与患者在报告体能状态方面的一致性。

Are oncologists and their patients on the same page? - Exploring clinician-patient agreement in performance status reporting.

作者信息

Rajan Nandini Devi, Shenoy Praveen Kumar, Murugesan Mohandoss, Duraisamy Karthickeyan, Shringarpure Kalpita, Philip Sairu, Deenathayalan Vanitha Priya, Menon Abhilash

机构信息

Department of Clinical Haematology and Medical Oncology, Malabar Cancer Centre (PGIOSR), Thalassery, Kerala, 670103, India.

Department of Transfusion Medicine, Malabar Cancer Centre (PGIOSR), Thalassery, Kerala, 670103, India.

出版信息

Support Care Cancer. 2025 Jun 21;33(7):607. doi: 10.1007/s00520-025-09656-7.


DOI:10.1007/s00520-025-09656-7
PMID:40542824
Abstract

PURPOSE: Clinician-assessed performance status is a strong predictor of morbidity in cancer patients, but it lacks patients' perspective. This study aims to examine the agreement between clinician (cPS) and patient (pPS) in reporting performance status and identify which assessment better predicts 30-day morbidity. METHODS: This was a prospective observational study among patients undergoing the first cycle of cytotoxic chemotherapy for solid tumour malignancies at Malabar Cancer Centre, Thalassery, Kerala, India, from February 1 to August 31, 2024. Patient and clinician versions of the ECOG PS questionnaire were used to get pPS and cPS assessments. Average PS was calculated as the mean of absolute values of cPS and pPS. Patients were treated as per standard protocol. Outcome variables, including 30-day morbidity, hospitalization, and Grades 3-4 toxicities, were monitored over a 30-day follow-up period. RESULTS: Total 215 patients were included. Clinician and patient had only weak agreement in reporting performance status, with 14.65% agreements and weighted kappa = 0.042 (95% CI - 0.028 to 0.041). The mean pPS was slightly higher than mean cPS (1.62 vs 1.31). Only cPS had statistically significant association with 30-day morbidity and occurrence of toxicities. Hence, cPS had better odds of predicting 30-day morbidity and occurrences of toxicities compared to pPS. Average PS also had statistically significant association with 30-day morbidity, occurrence of hospitalisation, and Grade 4 toxicities. CONCLUSION: Clinician-reported performance status remains the strongest predictor of chemotherapy-related morbidity and toxicities. The novel "Average PS" is simple and easily derivable score, incorporating the patient's perspective, which needs validation in larger studies. TRIAL REGISTRATION: This study was registered in Clinical Trial Registry-India (CTRI/2024/03/064160).

摘要

目的:临床医生评估的体能状态是癌症患者发病的有力预测指标,但缺乏患者的视角。本研究旨在检验临床医生(cPS)和患者(pPS)在报告体能状态方面的一致性,并确定哪种评估能更好地预测30天发病率。 方法:这是一项前瞻性观察性研究,研究对象为2024年2月1日至8月31日在印度喀拉拉邦塔拉斯里的马拉巴尔癌症中心接受实体瘤恶性肿瘤首次细胞毒性化疗周期的患者。使用ECOG PS问卷的患者版和临床医生版来获得pPS和cPS评估。平均PS计算为cPS和pPS绝对值的平均值。患者按照标准方案进行治疗。在30天的随访期内监测包括30天发病率、住院情况和3-4级毒性反应等结局变量。 结果:共纳入215例患者。临床医生和患者在报告体能状态方面仅有微弱的一致性,一致性为14.65%,加权kappa值 = 0.042(95%CI -0.028至0.041)。平均pPS略高于平均cPS(1.62对1.31)。只有cPS与30天发病率和毒性反应的发生具有统计学显著关联。因此,与pPS相比,cPS预测30天发病率和毒性反应发生的可能性更好。平均PS也与30天发病率、住院情况的发生以及4级毒性反应具有统计学显著关联。 结论:临床医生报告的体能状态仍然是化疗相关发病率和毒性反应的最强预测指标。新的“平均PS”是一个简单且易于推导的评分,纳入了患者的视角,需要在更大规模的研究中进行验证。 试验注册:本研究已在印度临床试验注册中心(CTRI/2024/03/064160)注册。

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本文引用的文献

[1]
Comparing Physician and Nurse Eastern Cooperative Oncology Group Performance Status (ECOG-PS) Ratings as Predictors of Clinical Outcomes in Patients with Cancer.

Oncologist. 2019-6-21

[2]
Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: Do Indian households face distress health financing?

PLoS One. 2018-5-10

[3]
Patient-Reported Functional Status in Outpatients With Advanced Cancer: Correlation With Physician-Reported Scores and Survival.

J Pain Symptom Manage. 2018-2-26

[4]
Patient-physician disagreement regarding performance status is associated with worse survivorship in patients with advanced cancer.

Cancer. 2008-10-15

[5]
Performance status score: do patients and their oncologists agree?

Br J Cancer. 2003-9-15

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A goodness-of-fit approach to inference procedures for the kappa statistic: confidence interval construction, significance-testing and sample size estimation.

Stat Med. 1992-8

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