Cost‐effectiveness of Gene Expression Classifier Testing of Indeterminate Thyroid Nodules Utilizing a Real Cohort Comparator

医学 不确定 队列 恶性肿瘤 回顾性队列研究 成本效益 甲状腺结节 内科学 放射科 数学 风险分析(工程) 纯数学
作者
Scott Shapiro,Majed Pharaon,Brian Kellermeyer
出处
期刊:Otolaryngology-Head and Neck Surgery [Wiley]
卷期号:157 (4): 596-601 被引量:14
标识
DOI:10.1177/0194599817725709
摘要

Objective To predict the cost‐effectiveness of implementing routine gene expression classifier testing for thyroid nodules with indeterminate fine‐needle aspiration cytology, by utilizing a real cohort of patients as a comparator. Study Design Cost‐effectiveness analysis of a retrospective cohort compared with a simulated cohort. Setting Tertiary academic medical center. Subjects and Methods We reviewed the records of all patients who underwent ultrasound‐guided fine‐needle aspiration from 2010 to 2014 at a tertiary academic medical center. All patients with Bethesda class III or IV cytopathology had the details of their management catalogued over the subsequent 2 years of care. These patients were assigned to the standard‐of‐care arm of the study. We compared the third‐party payer costs of care and the proportion of patients who underwent surgery with a simulated cohort who underwent gene expression classifier testing after an initial indeterminate fine‐needle aspiration (molecular test arm). Results The cost of managing 1 nodule over 2 years was $2399 higher (range, $397‐$4399) for the molecular test group than the standard of care group. The molecular test group had a 13.1% decrease (base parameters; range, 0.73%‐45.09%) in the number of patients undergoing surgery. Conclusion When applied to a real cohort of patients, routine gene expression classifier is predicted to reduce the number of patients undergoing surgery but will increase cost of care. Cost‐effectiveness is heavily dependent on prevalence of malignancy and gene expression classifier specificity.

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
刚刚
万能图书馆应助hxy采纳,获得30
1秒前
英俊的铭应助现代丹亦采纳,获得10
1秒前
平淡萍发布了新的文献求助10
1秒前
2秒前
2秒前
夭夭完成签到 ,获得积分10
3秒前
4秒前
zxf发布了新的文献求助10
5秒前
5秒前
BZPL发布了新的文献求助200
6秒前
SciGPT应助万事如意采纳,获得10
6秒前
CYPCYP发布了新的文献求助10
6秒前
lklklk完成签到,获得积分10
7秒前
英姑应助言瓒采纳,获得30
7秒前
fanfei完成签到,获得积分10
7秒前
sky11完成签到,获得积分10
8秒前
blush完成签到,获得积分10
9秒前
11秒前
默11发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
11秒前
fanfei发布了新的文献求助30
11秒前
莫封叶完成签到,获得积分10
14秒前
15秒前
李壮壮完成签到,获得积分10
16秒前
李慧敏发布了新的文献求助10
17秒前
17秒前
Nole应助掏粪男孩采纳,获得30
17秒前
七听应助儒雅的杨采纳,获得10
19秒前
压痕完成签到,获得积分20
20秒前
20秒前
倾城完成签到,获得积分10
20秒前
22秒前
荞麦皮耶发布了新的文献求助10
23秒前
lanchen完成签到,获得积分20
23秒前
hll完成签到 ,获得积分10
23秒前
李爱国应助默11采纳,获得30
24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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7617112
求助须知:如何正确求助?哪些是违规求助? 9192425
关于积分的说明 19700058
捐赠科研通 7189502
什么是DOI,文献DOI怎么找? 3271994
关于科研通互助平台的介绍 2434749
邀请新用户注册赠送积分活动 2266986