Suppr超能文献

酶联免疫吸附测定法检测癌症患者血清中中期因子的诊断准确性

Diagnostic accuracy of ELISA for detecting serum Midkine in cancer patients.

作者信息

Jing Xuan, Cui Xiangrong, Liang Hongping, Hao Chonghua, Han Chongyang

机构信息

Department of Clinical Laboratory, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Taiyuan, P.R. China.

Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Affiliate of Shanxi Medical University, Taiyuan, Shanxi, P.R. China.

出版信息

PLoS One. 2017 Jul 7;12(7):e0180511. doi: 10.1371/journal.pone.0180511. eCollection 2017.

Abstract

Midkine (MK) has been reported as the potential novel diagnostic biomarker for cancer in several studies, but their results were controversial. Therefore, we performed a diagnostic meta-analysis to assess the diagnostic value of serum MK in cancer patients. A systematic electronic and manual search was performed for relevant literatures through several databases up to June 1, 2017. The quality of the studies included in the meta-analysis was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. All analyses were conducted using stata12.0 software. Ten studies collectively included 1119 cancer patients and 1441 controls met the eligible criteria. The summary estimates were: sensitivity 0.78 (95% CI = 0.68-0.85), specificity 0.83 (95% CI = 0.72-0.90), positive likelihood ratio 4,54 (95% CI = 2.64-7.80), negative likelihood 0.27 (95% CI = 0.18-0.40), diagnostic odds ratio 16.79 (95% CI = 7.17-39.33), and area under the curve 0.87 (95% CI = 0.84-0.89). Publication bias was suggested by Deeks' funnel plot asymmetry test (P = 0.92). According to our results, serum MK has greater diagnostic value in diagnosing cancer, however, more reliable studies in larger cohort should be conducted to evaluate the diagnostic accuracy of serum MK.

摘要

在多项研究中,中期因子(MK)已被报道为癌症潜在的新型诊断生物标志物,但其结果存在争议。因此,我们进行了一项诊断性荟萃分析,以评估血清MK在癌症患者中的诊断价值。截至2017年6月1日,通过多个数据库对相关文献进行了系统的电子和人工检索。使用诊断准确性研究质量评估(QUADAS-2)工具对纳入荟萃分析的研究质量进行评估。所有分析均使用stata12.0软件进行。十项研究共纳入1119例癌症患者和1441例对照,符合纳入标准。汇总估计值为:敏感性0.78(95%可信区间=0.68-0.85),特异性0.83(95%可信区间=0.72-0.90),阳性似然比4.54(95%可信区间=2.64-7.80),阴性似然比0.27(95%可信区间=0.18-0.40),诊断比值比16.79(95%可信区间=7.1

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/837c/5501560/c18704ed58c2/pone.0180511.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验