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      Diagnostic utility of CT for abdominal injury in the military setting : A systematic review and meta-analysis

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          Abstract

          Background:

          It is critical to accurately identify patients with abdominal injury who truly need to undergo laparotomy during the war in timely fashion. The diagnostic utility of computed tomography (CT) for evaluating abdominal injury in the military setting remains uncertain.

          Methods:

          PubMed, EMBASE, and Cochrane Library databases were searched. Meta-analyses were performed by using a random-effect model. We pooled the area under the summary receiver operating characteristic curves with standard errors, the Q indexes with standard errors, the sensitivities with 95% confidence intervals (CIs), the specificities with 95% CIs, the positive likelihood ratios with 95% CIs, the negative likelihood ratios with 95% CIs, and the diagnostic odds ratios with 95% CIs. The heterogeneity among studies were evaluated by the I 2 and P value.

          Results:

          Overall, 5 retrospective studies were included. The area under the summary receiver operating characteristic curve was 0.9761 ± 0.0215 and the Q index was 0.9302 ± 0.0378. The pooled sensitivity was 0.97 (95% CI = 0.92–0.99) without a significant heterogeneity among studies ( I 2 = 0%, P = .4538). The pooled specificity was 0.95 (95% CI = 0.93–0.97) with a significant heterogeneity among studies ( I 2 = 90.6%, P < .0001). The pooled positive likelihood ratio was 10.71 (95% CI: 2.91–39.43) with a significant heterogeneity among studies ( I 2 = 89.2%, P < .0001). The pooled negative likelihood ratio was 0.07 (95% CI = 0.02–0.27) with a significant heterogeneity among studies ( I 2 = 57.5%, P = .0516). The pooled diagnostic odds ratio was 177.48 (95% CI = 18.09–1741.31) with a significant heterogeneity among studies ( I 2 = 75.9%, P = .0023).

          Conclusion:

          Diagnostic accuracy of CT for abdominal injury is excellent in the military setting. Further work should explore how to shrink CT equipment for a wider use in wartime.

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          Most cited references32

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          The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

          Systematic reviews and meta-analyses are essential to summarise evidence relating to efficacy and safety of healthcare interventions accurately and reliably. The clarity and transparency of these reports, however, are not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (quality of reporting of meta-analysis) statement—a reporting guideline published in 1999—there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realising these issues, an international group that included experienced authors and methodologists developed PRISMA (preferred reporting items for systematic reviews and meta-analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this explanation and elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA statement, this document, and the associated website (www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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            QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

            In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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              Meta-DiSc: a software for meta-analysis of test accuracy data

              Background Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis. Results Meta-DiSc a) allows exploration of heterogeneity, with a variety of statistics including chi-square, I-squared and Spearman correlation tests, b) implements meta-regression techniques to explore the relationships between study characteristics and accuracy estimates, c) performs statistical pooling of sensitivities, specificities, likelihood ratios and diagnostic odds ratios using fixed and random effects models, both overall and in subgroups and d) produces high quality figures, including forest plots and summary receiver operating characteristic curves that can be exported for use in manuscripts for publication. All computational algorithms have been validated through comparison with different statistical tools and published meta-analyses. Meta-DiSc has a Graphical User Interface with roll-down menus, dialog boxes, and online help facilities. Conclusion Meta-DiSc is a comprehensive and dedicated test accuracy meta-analysis software. It has already been used and cited in several meta-analyses published in high-ranking journals. The software is publicly available at .
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                17 December 2021
                17 December 2021
                : 100
                : 50
                : e28150
                Affiliations
                [a ]Military Medical Research Group, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
                [b ]Meta-Analysis Interest Group, Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China
                [c ]Department of Life Sciences and Biopharmaceutis, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, China
                [d ]Section of Medical Service, General Hospital of Northern Theater Command, Shenyang, Liaoning Province, China.
                Author notes
                []Correspondence: Xingshun Qi, Military Medical Research Group, General Hospital of Northern Theater Command Shenyang, Liaoning Province, China (e-mail: xingshunqi@ 123456126.com ).
                Author information
                http://orcid.org/0000-0002-9448-6739
                Article
                MD-D-21-06081 28150
                10.1097/MD.0000000000028150
                8677980
                34918669
                aae18eb4-d2b7-43bf-9f3b-4859cdcb4236
                Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0

                History
                : 30 August 2021
                : 10 November 2021
                : 17 November 2021
                Categories
                4100
                Research Article
                Systematic Review and Meta-Analysis
                Custom metadata
                TRUE

                abdominal injury,computed tomography,diagnostic accuracy,meta-analysis,military setting

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