Diagnostic delay in moderately/poorly differentiated breast cancer types

医学 乳腺癌 内科学 癌症 肿瘤科
作者
Constanze Elfgen,Stephan Baumgartner,Zsuzsanna Varga,Kelly Reeve,Christoph Tausch,Vesna Bjelic‐Radisic,Markus C. Fleisch,Uwe Güth
出处
期刊:European Journal of Cancer Prevention [Ovid Technologies (Wolters Kluwer)]
卷期号:31 (2): 152-157 被引量:3
标识
DOI:10.1097/cej.0000000000000681
摘要

Diagnostic delay of breast cancer related to the false-negative assessment of the healthcare provider leads to tumor progression and might worsen the outcome. Previous studies found some factors associated with provider-related diagnostic delay; however, tumor biology has tended not to be considered. The aim of our study was to find differences in diagnostic delay of poorly differentiated breast cancer types.Data of 970 patients with newly diagnosed moderately/poorly differentiated (G2/3) breast cancer at the age ≥40 years was retrospectively analyzed regarding breast cancer type, diagnostic delay and its consequence, clinical factors and physician's assessment. Multivariate analysis was used to evaluate associated factors with diagnostic delay.We observed a diagnostic delay in 3.8% (n = 37) of all patients. Mean delay time was 128 days, and clinically relevant tumor growth was observed in 43.2% of these cases. Delay was significantly higher in the group of triple-negative breast cancer (9.9% versus 2.7, 5.3 and 1.8% in hormonal receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, HR-/Her2+ and HR+/Her2+, respectively; P value <0.001). Age, breast density and reason for presentation were not correlated to diagnostic delay.Patients with triple-negative breast cancer are at higher risk of receiving a false-negative assessment and experiencing a diagnostic delay. Our results emphasize the importance of a detailed consideration of clinical risk factors and provider training and suggest a broad indication for a core needle biopsy.
最长约 10秒,即可获得该文献文件

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
MEME发布了新的文献求助10
2秒前
2秒前
情怀应助LSH970829采纳,获得10
2秒前
CHINA_C13发布了新的文献求助10
5秒前
Mars发布了新的文献求助10
6秒前
哈哈哈完成签到,获得积分10
6秒前
玛卡巴卡应助平常的毛豆采纳,获得100
7秒前
默默的青旋完成签到,获得积分10
8秒前
11秒前
搜集达人应助淡淡采白采纳,获得10
11秒前
高高代珊完成签到 ,获得积分10
12秒前
gmc发布了新的文献求助10
13秒前
13秒前
14秒前
善学以致用应助Mian采纳,获得10
14秒前
学科共进发布了新的文献求助60
15秒前
LWJ完成签到 ,获得积分10
15秒前
15秒前
缓慢的糖豆完成签到,获得积分10
16秒前
阉太狼完成签到,获得积分10
16秒前
17秒前
soory完成签到,获得积分10
18秒前
任性的傲柏完成签到,获得积分10
18秒前
lwk205完成签到,获得积分0
18秒前
19秒前
一一完成签到,获得积分10
19秒前
19秒前
19秒前
高中生完成签到,获得积分10
20秒前
20秒前
20秒前
希望天下0贩的0应助TT采纳,获得10
21秒前
xxegt完成签到 ,获得积分10
21秒前
22秒前
爱吃泡芙发布了新的文献求助10
22秒前
susu完成签到,获得积分10
24秒前
会神发布了新的文献求助10
24秒前
KK完成签到,获得积分10
25秒前
充电宝应助justin采纳,获得10
27秒前
28秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824