30 research outputs found

    Deeks’ plot for ASVS for localization of insulinoma.

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    Deeks’ plot for ASVS for localization of insulinoma.</p

    Flowchart for obtaining data for the present meta-analysis.

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    Flowchart for obtaining data for the present meta-analysis.</p

    Forest plots for sensitivity and specificity.

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    Forest plots for sensitivity and specificity.</p

    Deeks’ plot for EUS for localization of insulinoma.

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    Deeks’ plot for EUS for localization of insulinoma.</p

    Quality assessments of the included studies.

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    Quality assessments of the included studies.</p

    Characteristics of the studies included in the meta-analysis.

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    Characteristics of the studies included in the meta-analysis.</p

    Diagnostic value of endoscopic ultrasound for insulinoma localization: A systematic review and meta-analysis

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    BackgroundPrevious studies reported varies parameters of endoscopic ultrasound (EUS) for the localization of insulinomas, the purpose of this meta-analysis based on published studies to accuracy the diagnostic value of EUS.MethodsPubMed, Embase, Web of science, Cochrane library and Wanfang digital database were searched to identify published studies up to April 2018, which diagnostic insulinoma by using EUS. Retrieved sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and receiver operating characteristic (ROC) curves data were summarized for meta-analysis.ResultsA total of 9 studies involved a total of 350 patients were included in final analysis. The summary sensitivity, specificity, PLR, and NLR were 0.81 (95%CI: 0.75–0.86), 0.90 (95%CI: 0.84–0.94), 7.90 (95%CI: 4.9–12.8), and 0.21 (95%CI: 0.16–0.29), respectively. Further, the pooled DOR was 37.00 (95%CI:19.55–70.04) and area under the ROC was 0.92 (95%CI: 0.90–0.84).ConclusionThe findings of this study demonstrate that EUS should be a routine diagnosis approach for the preoperative localization of insulinomas.</div

    Area under the ROC curve.

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    Area under the ROC curve.</p
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