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.
CONCLUSIONS: Overall, the study suggests that FTIR spectroscopy has potential as minimally invasive diagnostic method for CRC using plasma 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.
CONCLUSIONS: Overall, the study suggests that FTIR spectroscopy has potential as minimally invasive diagnostic method for CRC using plasma samples.
摘要：
目的：这项荟萃分析旨在汇集现有研究的结果，以获得对傅里叶变换红外（FTIR）光谱法在使用基于血液的样本检测CRC中的诊断效率的更精确估计。
方法：全面的数据库搜索确定了4,931项筛选合格的研究。然后提取相关数据，使用Meta-DiSc1.4进行整理和分析，以衡量汇总诊断的准确性。灵敏度,特异性，似然比，和诊断优势比，并在森林地块中呈现。
结果：所有六个数据条目的合并敏感性为86.10%（p=0.20），特异性为91.2%(p<0.001)。合并的阳性似然比为9.84（p<0.001），表明强烈适度的诊断价值，而负似然比为0.16(0.12)，提示FTIR光谱在排除该疾病方面的疗效中度降低。发现合并的AUC为0.94,这表明该方法的FTIR具有优异的辨别潜力。
结论：总体而言，研究表明,FTIR光谱作为使用血浆样本的CRC微创诊断方法具有潜力.
方法：全面的数据库搜索确定了4,931项筛选合格的研究。然后提取相关数据，使用Meta-DiSc1.4进行整理和分析，以衡量汇总诊断的准确性。灵敏度,特异性，似然比，和诊断优势比，并在森林地块中呈现。
结果：所有六个数据条目的合并敏感性为86.10%（p=0.20），特异性为91.2%(p<0.001)。合并的阳性似然比为9.84（p<0.001），表明强烈适度的诊断价值，而负似然比为0.16(0.12)，提示FTIR光谱在排除该疾病方面的疗效中度降低。发现合并的AUC为0.94,这表明该方法的FTIR具有优异的辨别潜力。
结论：总体而言，研究表明,FTIR光谱作为使用血浆样本的CRC微创诊断方法具有潜力.
