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
刚刚
Cunese完成签到,获得积分10
刚刚
刚刚
酷酷凡白完成签到,获得积分10
1秒前
nianyi完成签到,获得积分10
2秒前
5秒前
SciGPT应助舒适忆枫采纳,获得10
5秒前
6秒前
无花果应助Pengjiajia778852采纳,获得10
6秒前
123发布了新的文献求助10
6秒前
深情安青应助wu采纳,获得10
7秒前
wanci应助UFO采纳,获得10
7秒前
涵山完成签到,获得积分10
8秒前
8秒前
小二郎应助李悟尔采纳,获得10
9秒前
明宇完成签到,获得积分10
9秒前
CodeCraft应助1asfdwe采纳,获得10
10秒前
坐以待毕发布了新的文献求助10
10秒前
10秒前
三水应助senli2018采纳,获得10
11秒前
leroan发布了新的文献求助10
11秒前
范棒棒完成签到,获得积分10
12秒前
生动汉堡完成签到,获得积分10
12秒前
bchen8发布了新的文献求助10
13秒前
13秒前
13秒前
ZhijunXiang发布了新的文献求助10
15秒前
李悟尔发布了新的文献求助10
15秒前
充电宝应助123456采纳,获得10
16秒前
科研通AI6.2应助lawang采纳,获得10
16秒前
乐乐完成签到 ,获得积分10
16秒前
科研通AI6.1应助lawang采纳,获得10
16秒前
科研通AI6.4应助lawang采纳,获得10
17秒前
研友_VZG7GZ应助lawang采纳,获得30
17秒前
科研通AI6.1应助lawang采纳,获得10
17秒前
科研通AI6.3应助lawang采纳,获得10
17秒前
上官若男应助lawang采纳,获得10
17秒前
bkagyin应助lawang采纳,获得10
17秒前
无花果应助lawang采纳,获得10
17秒前
科研通AI6.1应助lawang采纳,获得10
17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
Cronologia da história de Macau 5000
Braunwald’s Heart Disease, 2 Vol Set A Textbook of Cardiovascular Medicine 13th Edition 1000
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 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 光电子学 物理化学 电极 基因 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 6998246
求助须知:如何正确求助?哪些是违规求助? 8673836
关于积分的说明 18391672
捐赠科研通 6473619
什么是DOI,文献DOI怎么找? 3099603
关于科研通互助平台的介绍 2163352
邀请新用户注册赠送积分活动 2076031