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症状监测对肺癌患者电子患者报告结局(ePROs)的有效性:一项系统评价和荟萃分析。

Effectiveness of symptom monitoring on electronic patient-reported outcomes (ePROs) among patients with lung cancer: a systematic review and meta-analysis.

作者信息

Xia Yiqi, Guan Xiaolong, Zhu Wenhui, Wang Yanshang, Shi Zhenyu, He Ping

机构信息

School of Public Health, Peking University, Beijing, China.

Centre for Health Development Studies, Peking University, Beijing, China.

出版信息

NPJ Digit Med. 2025 Jul 3;8(1):399. doi: 10.1038/s41746-025-01812-x.

Abstract

Symptom monitoring using electronic patient-reported outcomes (ePROs) has demonstrated benefits for patients with cancer, yet the systematic effects for lung cancer remains unknown. This study performed a literature search in Medline, Embase, Cochrane library, CINAHL and APA PsyInfo before April 23rd, 2025, and identified 5755 papers. 18 (0.31%) papers from 11 studies conducting symptom monitoring on ePROs and sending alerts of severe symptoms were included. The meta-analysis showed significant improvement in health-related quality of life (SMD = 2.44, P < 0.001) among patients with lung cancer, with an intervention duration of less than 6 months, 6 months and more than 6 months. When excluding studies that sent alerts to patients themselves, overall survival for lung cancer patients was significantly prolonged (HR = 0.54, 95% CI [0.22, 1.31], P = 0.031). Symptom burden, physical functioning, and healthcare service utilization was also advantaged, but implementation process and cost-effectiveness data was insufficient (Trial registration: CRD420251000397).

摘要

使用电子患者报告结局(ePROs)进行症状监测已证明对癌症患者有益,但对肺癌的系统性影响仍不清楚。本研究在2025年4月23日前对Medline、Embase、Cochrane图书馆、CINAHL和APA PsyInfo进行了文献检索,共识别出5755篇论文。纳入了11项关于ePROs症状监测并发送严重症状警报的研究中的18篇(0.31%)论文。荟萃分析显示,肺癌患者的健康相关生活质量有显著改善(标准化均数差=2.44,P<0.001),干预持续时间分别为少于6个月、6个月和超过6个月。排除向患者本人发送警报的研究后,肺癌患者的总生存期显著延长(风险比=0.54,95%置信区间[0.22,1.31],P=0.031)。症状负担、身体功能和医疗服务利用也有优势,但实施过程和成本效益数据不足(试验注册号:CRD420251000397)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fdc/12223247/e7ac472790d5/41746_2025_1812_Fig1_HTML.jpg

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