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Table_1_Novel endoscopic techniques for the diagnosis of gastric Helicobacter pylori infection: a systematic review and network meta-analysis.DOCX

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https://figshare.com/articles/dataset/Table_1_Novel_endoscopic_techniques_for_the_diagnosis_of_gastric_Helicobacter_pylori_infection_a_systematic_review_and_network_meta-analysis_DOCX/26899882
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ObjectiveThis study aimed to conduct a network meta-analysis to compare the diagnostic efficacy of diverse novel endoscopic techniques for detecting gastric Helicobacter pylori infection. MethodsFrom inception to August 2023, literature was systematically searched across Pubmed, Embase, and Web of Science databases. Cochrane’s risk of bias tool assessed the methodological quality of the included studies. Data analysis was conducted using the R software, employing a ranking chart to determine the most effective diagnostic method comprehensively. Convergence analysis was performed to assess the stability of the results. ResultsThe study encompassed 36 articles comprising 54 observational studies, investigating 14 novel endoscopic techniques and involving 7,230 patients diagnosed with gastric H. pylori infection. Compared with the gold standard, the comprehensive network meta-analysis revealed the superior diagnostic performance of two new endoscopic techniques, Magnifying blue laser imaging endoscopy (M-BLI) and high-definition magnifying endoscopy with i-scan (M-I-SCAN). Specifically, M-BLI demonstrated the highest ranking in both sensitivity (SE) and positive predictive value (PPV), ranking second in negative predictive value (NPV) and fourth in specificity (SP). M-I-SCAN secured the top position in NPV, third in SE and SP, and fifth in PPV. ConclusionAfter thoroughly analyzing the ranking chart, we conclude that M-BLI and M-I-SCAN stand out as the most suitable new endoscopic techniques for diagnosing gastric H. pylori infection. Systematic review registrationhttps://inplasy.com/inplasy-2023-11-0051/, identifier INPLASY2023110051.

研究目的:本研究旨在开展一项网状Meta分析,对比多种新型内镜技术检测胃幽门螺杆菌(Helicobacter pylori)感染的诊断效能。 研究方法:本研究系统检索了PubMed、Embase及Web of Science数据库自建库至2023年8月的相关文献。采用Cochrane偏倚风险评估工具对纳入研究的方法学质量进行评价。数据分析采用R软件完成,并通过排序图全面确定最优诊断方案;同时开展收敛性分析以评估研究结果的稳定性。 研究结果:本研究共纳入36篇文献,包含54项观察性研究,涉及14种新型内镜技术,纳入研究对象共计7230例胃幽门螺杆菌感染者。与金标准相比,本次综合网状Meta分析显示,放大蓝激光成像内镜(Magnifying blue laser imaging endoscopy,M-BLI)及高清放大内镜联合i-scan技术(high-definition magnifying endoscopy with i-scan,M-I-SCAN)具备更优异的诊断性能。具体而言,M-BLI在敏感度(Sensitivity,SE)、阳性预测值(Positive Predictive Value,PPV)中均位列第一,在阴性预测值(Negative Predictive Value,NPV)中位列第二,在特异度(Specificity,SP)中位列第四。M-I-SCAN则在阴性预测值中位居首位,敏感度及特异度位列第三,阳性预测值位列第五。 研究结论:通过对排序图进行全面分析后,本研究认为M-BLI与M-I-SCAN是当前用于诊断胃幽门螺杆菌感染的最优新型内镜技术。 系统评价注册:https://inplasy.com/inplasy-2023-11-0051/,注册编号为INPLASY2023110051。
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2024-09-02
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