Suppr超能文献

基于血液的 FTIR 光谱分析作为一种用于结直肠癌的微创诊断方法:一项荟萃分析。

Blood-Based FTIR Spectroscopy as a Minimally Invasive Diagnostic Method for Colorectal Cancer: A Meta-Analysis.

机构信息

Department of Biological Sciences, College of Science, University of Santo Tomas, Manila, Philippines.

The Graduate School, University of Santo Tomas, Manila, Philippines.

出版信息

Asian Pac J Cancer Prev. 2024 May 1;25(5):1487-1495. doi: 10.31557/APJCP.2024.25.5.1487.

Abstract

OBJECTIVE

This meta-analysis aims to pool the results of existing studies to obtain more precise estimates on the diagnostic efficiency of the Fourier transform infrared (FTIR) spectroscopy in detecting CRC using blood-based samples.

METHODS

A comprehensive database search identified 4,931 studies that were screened for eligibility. Relevant data were then extracted and collated and analyzed using Meta-DiSc 1.4 to measure the pooled diagnostic accuracy, sensitivity, specificity, likelihood ratio, and diagnostic odds ratio and presented in forest plots.

RESULTS

The pooled sensitivity across all six data entries was 86.10% (p = 0.20), and the specificity was 91.2% (p < 0.001). The pooled positive likelihood ratio was 9.84 (p < 0.001), indicating a strongly moderate diagnostic value, while the negative likelihood ratio was 0.16 (0.12), suggesting moderately decreased efficacy of FTIR spectroscopy in ruling out the disease. The pooled AUC was found to be at 0.94 which indicate excellent discriminating potential of FTIR of the method.

CONCLUSION

Overall, the study suggests that FTIR spectroscopy has potential as minimally invasive diagnostic method for CRC using plasma samples.

摘要

目的

本荟萃分析旨在汇总现有研究结果,以获得更精确的估计值,了解基于血液样本的傅里叶变换红外(FTIR)光谱技术在诊断 CRC 方面的诊断效率。

方法

通过全面的数据库搜索,共筛选出 4931 项研究以评估其纳入资格。然后提取并整理相关数据,并使用 Meta-DiSc 1.4 进行分析,以测量汇总的诊断准确性、敏感度、特异度、似然比和诊断比值比,并以森林图呈现。

结果

所有 6 项数据条目汇总的敏感度为 86.10%(p=0.20),特异度为 91.2%(p<0.001)。汇总阳性似然比为 9.84(p<0.001),表明具有较强的中等诊断价值,而阴性似然比为 0.16(0.12),表明 FTIR 光谱在排除疾病方面的疗效中等降低。汇总 AUC 为 0.94,表明该方法具有出色的鉴别潜力。

结论

总体而言,该研究表明 FTIR 光谱技术具有作为使用血浆样本进行 CRC 微创诊断方法的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42f6/11318836/3d4078585885/APJCP-25-1487-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