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巨噬细胞抑制细胞因子-1与糖类抗原19-9作为胰腺癌诊断生物标志物的比较:一项符合PRISMA标准的诊断准确性研究的Meta分析

Macrophage inhibitory cytokine-1 versus carbohydrate antigen 19-9 as a biomarker for diagnosis of pancreatic cancer: A PRISMA-compliant meta-analysis of diagnostic accuracy studies.

作者信息

Yang Ying, Yan Shirong, Tian Hui, Bao Yixi

机构信息

Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China.

出版信息

Medicine (Baltimore). 2018 Mar;97(9):e9994. doi: 10.1097/MD.0000000000009994.

Abstract

BACKGROUND

Because of the high malignant degree of pancreatic cancer (PC), the early diagnosis of PC is of great concern. Macrophage inhibitory cytokine-1 (MIC-1) was reported to be a potential diagnostic biomarker, but its diagnostic value is indeterminate. Therefore, we performed this meta-analysis to compare it to carbohydrate antigen 19-9 (CA19-9), the most frequently used serum biomarker in PC.

MATERIAL AND METHODS

After a systematic review of the relevant studies, the pooled diagnostic indices, including sensitivity, specificity, positive/negative likelihood ratio (PLR/NLR), diagnostic odds ratio (DOR), summary receiver operating characteristic curve (sROC), and area under the SROC curve (AUC) were used to evaluate the diagnostic value of MIC-1 and CA19-9 for PC. These indices were pooled with random-effects models. We explored the heterogeneity by meta-regression.

RESULTS

Fourteen studies comprising a total of 2826 subjects were included in our meta-analysis. The summary estimates for MIC-1 and CA19-9 are listed as follows: sensitivity, 80% [95% confidence interval (CI) 78-82] versus 71% (95% CI 68-73); specificity, 85% (95% CI 83-87) versus 88% (95% CI 86-90); DOR, 24.57 (95% CI 14.00-43.10) versus 17.65 (95% CI 11.65-26.76); area under sROC (AUC), 0.8945 versus 0.8322; PLR, 5.18 (95% CI 3.24-8.26) versus 5.34 (95% CI 3.78-7.54); and NLR, 0.23 (95% CI 0.19-0.29) versus 0.32 (95% CI 0.28-0.37).

CONCLUSION

These data demonstrate that serum MIC-1 has a comparable diagnostic accuracy to CA19-9 for PC.

摘要

背景

由于胰腺癌(PC)恶性程度高,其早期诊断备受关注。据报道,巨噬细胞抑制细胞因子-1(MIC-1)是一种潜在的诊断生物标志物,但其诊断价值尚无定论。因此,我们进行了这项荟萃分析,以将其与PC中最常用的血清生物标志物糖类抗原19-9(CA19-9)进行比较。

材料与方法

在对相关研究进行系统回顾后,采用合并诊断指标,包括敏感性、特异性、阳性/阴性似然比(PLR/NLR)、诊断比值比(DOR)、汇总受试者工作特征曲线(sROC)和sROC曲线下面积(AUC),来评估MIC-1和CA19-9对PC的诊断价值。这些指标采用随机效应模型进行合并。我们通过Meta回归探讨异质性。

结果

我们的荟萃分析纳入了14项研究,共2826名受试者。MIC-1和CA19-9的汇总估计值如下:敏感性,80%[95%置信区间(CI)78 - 82]对71%(95%CI 68 - 73);特异性,85%(95%CI 83 - 87)对88%(95%CI 86 - 90);DOR,24.57(95%CI 14.00 - 43.10)对17.65(95%CI 11.65 - 26.76);sROC曲线下面积(AUC),0.8945对0.8322;PLR,5.18(95%CI 3.24 - 8.26)对5.34(95%CI 3.78 - 7.54);NLR,0.23(95%CI 0.19 - 0.29)对0.32(95%CI 0.28 - 0.37)。

结论

这些数据表明,血清MIC-1对PC的诊断准确性与CA19-9相当。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db7/5851718/177b91779f94/medi-97-e9994-g001.jpg

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