Surgery for liver metastases from primary breast cancer: A reconstructed individual patient data meta-analysis

医学 乳腺癌 荟萃分析 危险系数 随机对照试验 临床终点 比例危险模型 乳房外科 置信区间 外科 内科学 肿瘤科 癌症
作者
Yoshio Masuda,Mark HX Yeo,Nicholas Syn,Brian K. P. Goh,Ye Xin Koh
出处
期刊:Ejso [Elsevier BV]
卷期号:50 (1): 107277-107277 被引量:2
标识
DOI:10.1016/j.ejso.2023.107277
摘要

Currently, the outcomes of standard-of-care palliative treatment for BCLM remain poor. Recent literature has shown promising results of hepatic resection, however, not all studies concur. Given the lack of standardized international guidelines in this field, the aim of this study is to provide gold-standard evidence for breast cancer liver metastases (BCLM) through a reconstructed individual patient data meta-analysis approach.Four databases were searched for articles comparing surgical and non-surgical treatment for BCLM. One-stage meta-analysis was performed using patient-level survival data reconstructed from Kaplan-Meier curves with plot digitizer software. Shared-frailty and stratified Cox models were fitted to compare survival endpoints.Four propensity-score matched (PSM) studies involving 205 surgical and 291 non-surgical patients for BCLM were included. There was a significant difference between both groups for overall survival (OS) (Hazard Ratio [HR] = 0.40, 95%CI 0.32-0.51). Sensitivity analyses for hormone receptor status of breast cancer (HR = 0.41, 95%CI 0.31-0.55) and type of resection performed (HR = 0.45, 95%CI 0.33-0.61) yielded HRs in favor of surgery.This meta-analysis concludes that surgery offers superior OS outcomes, compared to non-surgery, in a select group of patients. Future randomized controlled trials and PSM studies are warranted, using this study as a point of reference for similar parameters.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张欢馨应助谦让的凤灵采纳,获得10
1秒前
英姑应助专注的书白采纳,获得10
2秒前
稳稳飞完成签到,获得积分10
3秒前
深情安青应助尖叫番茄采纳,获得10
3秒前
3秒前
Wenbin发布了新的文献求助10
4秒前
misu完成签到,获得积分10
5秒前
28完成签到 ,获得积分10
6秒前
yf发布了新的文献求助10
6秒前
7秒前
可爱的函函应助354采纳,获得10
7秒前
8秒前
8秒前
Mottri发布了新的文献求助10
9秒前
10秒前
10秒前
yjwang完成签到,获得积分10
12秒前
FR完成签到,获得积分10
12秒前
大狒狒发布了新的文献求助10
12秒前
Gjjjjjjj完成签到,获得积分10
12秒前
舒心安莲发布了新的文献求助10
13秒前
library2025发布了新的文献求助10
14秒前
shiqi发布了新的文献求助10
14秒前
铭铭子发布了新的文献求助10
16秒前
19秒前
xyz完成签到,获得积分10
19秒前
20秒前
今后应助科研通管家采纳,获得30
20秒前
21秒前
Aaron567应助科研通管家采纳,获得20
21秒前
JamesPei应助科研通管家采纳,获得10
21秒前
思源应助科研通管家采纳,获得10
21秒前
汉堡包应助科研通管家采纳,获得10
21秒前
七听应助科研通管家采纳,获得20
21秒前
Ava应助科研通管家采纳,获得10
22秒前
彭于晏应助科研通管家采纳,获得10
22秒前
顾矜应助科研通管家采纳,获得10
22秒前
李鱼丸完成签到,获得积分10
22秒前
领导范儿应助科研通管家采纳,获得10
22秒前
cdercder应助科研通管家采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638247
求助须知:如何正确求助?哪些是违规求助? 9211578
关于积分的说明 19759247
捐赠科研通 7205275
什么是DOI,文献DOI怎么找? 3275830
关于科研通互助平台的介绍 2437432
邀请新用户注册赠送积分活动 2273004