Comparison of three different assays for measuring thyroglobulin and thyroglobulin antibodies in patients with chronic lymphocytic thyroiditis

医学 甲状腺球蛋白 内科学 罗氏诊断公司 卡帕 胃肠病学 甲状腺 数学 几何学
作者
Xinqi Cheng,Songlin Yu,Jin Cheng,Song Yee Han,Yingying Hu,Kui Zhang,Huaicheng Liu,Ling Qiu
出处
期刊:Clinical Biochemistry [Elsevier BV]
卷期号:50 (18): 1183-1187 被引量:7
标识
DOI:10.1016/j.clinbiochem.2017.08.004
摘要

To evaluate how thyroglobulin (Tg) and thyroglobulin antibody (TgAb) results compare among different chemiluminescence methods. Serum specimens from 153 patients with thyroiditis and 127 apparently healthy individuals were collected at the Peking Union Medical College Hospital from September 2014 to December 2014. TgAb and Tg levels were analyzed by using three different platforms manufactured by Roche, Beckman, and Siemens. The χ2 test was performed to analyze the TgAb results from the different methods. Passing-Bablok regression equations and Bland-Altman plots were used to estimate the relationship and bias among the Tg results obtained with the different analyses. The overall coincidence rates for the TgAb results were 82.9% between the Beckman and Roche methods, 78.6% between the Siemens and Roche methods, and 81.1% between the Siemens and Beckman methods. The borderline positive coincidence rate among the different TgAb methods was very poor (9.1–24.2%). Of the 280 samples, the TgAb results for 26.4% of the samples differed among the three CLIA platforms. A good linear relationship among the Tg levels was shown in TgAb-negative subjects analyzed with the different CLIA systems. However, for TgAb-positive subjects, the linear relationship of the Tg levels measured with the Siemens system, compared with the other two systems, was poor. Bland-Altman plots demonstrated significant differences among the different Tg assays. Current Tg and TgAb methods are highly variable and cannot be used interchangeably.
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
Chen完成签到,获得积分10
7秒前
itzbot1245发布了新的文献求助10
7秒前
abocide完成签到,获得积分10
7秒前
Chan完成签到,获得积分10
7秒前
Rain完成签到,获得积分10
7秒前
8秒前
科研通AI6.2的应助被yuyu采纳,获得10
8秒前
ding的应助被谨慎师采纳,获得10
10秒前
abc完成签到,获得积分10
12秒前
砍柴少年发布了新的文献求助10
12秒前
13秒前
今天几号完成签到,获得积分10
14秒前
机智的初柳完成签到,获得积分10
15秒前
三方完成签到,获得积分10
15秒前
大个的应助被王欣采纳,获得10
16秒前
18秒前
18秒前
33完成签到 ,获得积分10
20秒前
22秒前
谨慎师发布了新的文献求助10
24秒前
铁臂阿童木完成签到,获得积分10
28秒前
Alive完成签到,获得积分10
29秒前
yuyu发布了新的文献求助10
30秒前
yellowcoffee发布了新的文献求助10
30秒前
无极微光的应助被W00000采纳,获得20
30秒前
Ceadmon完成签到,获得积分10
39秒前
42秒前
yuyu完成签到,获得积分10
43秒前
MONO完成签到,获得积分10
44秒前
慕青的应助被co采纳,获得10
47秒前
Hello的应助被着急的道之采纳,获得10
48秒前
Julia发布了新的文献求助10
49秒前
轻松悒完成签到 ,获得积分10
49秒前
ben叔叔关注了科研通微信公众号
50秒前
科研通AI6.2的应助被AX采纳,获得30
51秒前
姽婳wy发布了新的文献求助10
52秒前
55秒前
沧海一声笑完成签到,获得积分10
56秒前
王欣发布了新的文献求助10
59秒前
1分钟前
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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783288
求助须知:如何正确求助?哪些是违规求助? 9322652
关于积分的说明 20390911
捐赠科研通 7372000
什么是DOI,文献DOI怎么找? 3320618
关于科研通互助平台的介绍 2468660
邀请新用户注册赠送积分活动 2336878