Diagnostic value of linked color imaging based on endoscopy for gastric intestinal metaplasia: a systematic review and meta-analysis

被引:13
|
作者
Shu, Xiaochuang [1 ,2 ,3 ]
Wu, Guozhi [1 ,2 ,3 ]
Zhang, Yanjun [4 ]
Wang, Yuping [2 ,3 ]
Zheng, Ya [2 ,3 ]
Guo, Qinghong [2 ,3 ]
Ji, Rui [2 ,3 ]
Zhou, Yongning [2 ,3 ]
机构
[1] Lanzhou Univ, Clin Med Coll 1, Lanzhou, Peoples R China
[2] Lanzhou Univ, Hosp 1, Dept Gastroenterol, Lanzhou, Peoples R China
[3] Lanzhou Univ, Key Lab Gastrointestinal Dis Gansu Prov, Lanzhou, Peoples R China
[4] Lanzhou Univ, Hosp 1, Donggang Branch, Gen Internal Med Dept, Lanzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Endoscopy; linked color imaging (LCI); gastric intestinal metaplasia (GIM); diagnosis; meta-analysis; WHITE OPAQUE SUBSTANCE; MAGNIFICATION ENDOSCOPY; MAGNIFYING ENDOSCOPY; BAND; NEOPLASIA; RISK;
D O I
10.21037/atm-21-1051
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The diagnostic value of linked color imaging based on endoscopy for gastric intestinal metaplasia has shown variable results. Therefore, this meta-analysis sought to systematically evaluate the value of linked color imaging (LCI) based on the blue laser endoscopy system for the diagnosis of gastric intestinal metaplasia (GIM). Methods: Literature searches were conducted of electronic databases including PubMed, Embase, the Cochrane Library, and Web of Science to screen diagnostic tests of LCI. The random-effects model was adopted to calculate the diagnostic efficacy of LCI for GIM. Meta-DiSc 1.40 software was applied for the calculation of sensitivity, specificity, and likelihood ratios; symmetric receiver operator characteristic (SROC) curves were drawn, and the areas under the SROC curves (AUCs) were computed. Quality of the included studies was chosen to assess using the quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool. Results: Six original studies involving 700 participants were included in the meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of LCI for diagnosing GIM were 0.87 (0.83-0.91), 0.86 (0.82-0.89), 5.72 (3.63-8.99), and 0.17 (0.08-0.36), respectively. SROC curve analysis showed that the AUC value was 0.9283. Discussion: Our study shows that LCI can be used for the accurate diagnosis of GIM. Considering weaknesses of available studies in terms of design, further studies with rigorous design are in need for further validating the findings of this meta-analysis.
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页数:9
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