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      Does training improve diagnostic accuracy and inter-rater agreement in applying the Berlin radiographic definition of acute respiratory distress syndrome? A multicenter prospective study

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          Abstract

          Background

          Poor inter-rater reliability in chest radiograph interpretation has been reported in the context of acute respiratory distress syndrome (ARDS), although not for the Berlin definition of ARDS. We sought to examine the effect of training material on the accuracy and consistency of intensivists’ chest radiograph interpretations for ARDS diagnosis.

          Methods

          We conducted a rater agreement study in which 286 intensivists (residents 41.3%, junior attending physicians 35.3%, and senior attending physician 23.4%) independently reviewed the same 12 chest radiographs developed by the ARDS Definition Task Force (“the panel”) before and after training. Radiographic diagnoses by the panel were classified into the consistent ( n = 4), equivocal ( n = 4), and inconsistent ( n = 4) categories and were used as a reference. The 1.5-hour training course attended by all 286 intensivists included introduction of the diagnostic rationale, and a subsequent in-depth discussion to reach consensus for all 12 radiographs.

          Results

          Overall diagnostic accuracy, which was defined as the percentage of chest radiographs that were interpreted correctly, improved but remained poor after training (42.0 ± 14.8% before training vs. 55.3 ± 23.4% after training, p < 0.001). Diagnostic sensitivity and specificity improved after training for all diagnostic categories ( p < 0.001), with the exception of specificity for the equivocal category ( p = 0.883). Diagnostic accuracy was higher for the consistent category than for the inconsistent and equivocal categories ( p < 0.001). Comparisons of pre-training and post-training results revealed that inter-rater agreement was poor and did not improve after training, as assessed by overall agreement (0.450 ± 0.406 vs. 0.461 ± 0.575, p = 0.792), Fleiss’s kappa (0.133 ± 0.575 vs. 0.178 ± 0.710, p = 0.405), and intraclass correlation coefficient (ICC; 0.219 vs. 0.276, p = 0.470).

          Conclusions

          The radiographic diagnostic accuracy and inter-rater agreement were poor when the Berlin radiographic definition was used, and were not significantly improved by the training set of chest radiographs developed by the ARDS Definition Task Force.

          Trial registration

          The study was registered at ClinicalTrials.gov (registration number NCT01704066) on 6 October 2012.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13054-017-1606-4) contains supplementary material, which is available to authorized users.

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          Most cited references6

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          Index for rating diagnostic tests.

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            Interrater agreement and interrater reliability: key concepts, approaches, and applications.

            Evaluations of interrater agreement and interrater reliability can be applied to a number of different contexts and are frequently encountered in social and administrative pharmacy research. The objectives of this study were to highlight key differences between interrater agreement and interrater reliability; describe the key concepts and approaches to evaluating interrater agreement and interrater reliability; and provide examples of their applications to research in the field of social and administrative pharmacy. This is a descriptive review of interrater agreement and interrater reliability indices. It outlines the practical applications and interpretation of these indices in social and administrative pharmacy research. Interrater agreement indices assess the extent to which the responses of 2 or more independent raters are concordant. Interrater reliability indices assess the extent to which raters consistently distinguish between different responses. A number of indices exist, and some common examples include Kappa, the Kendall coefficient of concordance, Bland-Altman plots, and the intraclass correlation coefficient. Guidance on the selection of an appropriate index is provided. In conclusion, selection of an appropriate index to evaluate interrater agreement or interrater reliability is dependent on a number of factors including the context in which the study is being undertaken, the type of variable under consideration, and the number of raters making assessments. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Interpretation of plain chest roentgenogram.

              Plain chest roentgenogram remains the most commonly ordered screening test for pulmonary disorders. Its lower sensitivity demands greater accuracy in interpretation. This greater accuracy can be achieved by adhering to an optimal and organized approach to interpretation. It is important for clinicians not to misread an abnormal chest radiograph (CXR) as normal. Clinicians can only acquire the confidence in making this determination if they read hundreds of normal CXRs. An individual should follow the same systematic approach to reading CXRs each time. All clinicians must make a concerted effort to read plain CXRs themselves first without reading the radiologist report and then discuss the findings with their radiology colleagues. Looking at the lateral CXR may shed light on 15% of the lung that is hidden from view on the posteroanterior film. Comparing prior films with the recent films is mandatory, when available, to confirm and/or extend differential diagnosis. This article outlines one of the many systematic approaches to interpreting CXRs and highlights the lesions that are commonly missed. A brief description of the limitations of CXR is also included.
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                Author and article information

                Contributors
                pjm731@hotmail.com
                cyq_icu@sina.com
                xyy_icu@sina.com
                myz_icu@sina.com
                ssl_icu@sina.com
                xcm_icu@163.com
                ky_icu@sina.com
                cfz_icu@163.com
                zyh_icu@sina.com
                thq_icu@sina.com
                yjy_icu@sina.com
                lj_icu@sina.com
                zjh_icu@sina.com
                rhs_icu@sina.com
                jdl_icu@sina.com
                tl_icu@sina.com
                wdw_icu@sina.com
                yza_icu@sina.com
                yha_icu@sina.com
                lhz_icu@sina.com
                xyc_icu@sina.com
                xjz_icu@sina.com
                rqs_icu@sina.com
                ezc_icu@sina.com
                8610-69154036 , dubin98@gmail.com
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                20 January 2017
                20 January 2017
                2017
                : 21
                : 12
                Affiliations
                [1 ]ISNI 0000 0000 9889 6335, GRID grid.413106.1, , Medical ICU, Peking Union Medical College Hospital, ; 1 Shuai Fu Yuan, Beijing, 100730 People’s Republic of China
                [2 ]GRID grid.414902.a, Department of Emergency Medicine, , The First Affiliated Hospital of Kunming Medical University, ; 295 Xichang Street, Kunming, 650032 People’s Republic of China
                [3 ]ISNI 0000 0004 1799 3993, GRID grid.13394.3c, Department of Critical Care Medicine, , First Affiliated Hospital, Xinjiang Medical University, ; 1 Liyushan Road, Urumqi, 830054 People’s Republic of China
                [4 ]ISNI 0000 0001 2204 9268, GRID grid.410736.7, Department of Critical Care Medicine, , The First Affiliated Hospital, Harbin Medical University, ; 23 Youzheng Street, Harbin, 150001 People’s Republic of China
                [5 ]Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, 1095 Jiefang Road, Wuhan, 430030 People’s Republic of China
                [6 ]GRID grid.412636.4, Department of Critical Care Medicine, , The First Affiliated Hospital of China Medical University, ; 155 North Nanjing Street, Shenyang, 110001 People’s Republic of China
                [7 ]ISNI 0000 0004 1770 1022, GRID grid.412901.f, Department of Critical Care Medicine, , West China Hospital, Sichuan University, ; 37 Guoxue Alley, Chengdu, 610041 People’s Republic of China
                [8 ]ISNI 0000 0000 8653 0555, GRID grid.203458.8, Department of Critical Care Medicine, , The First Affiliated Hospital, Chongqing Medical University, ; 1 Youyi Road, Yuanjiagang, Chongqing, 400016 People’s Republic of China
                [9 ]ISNI 0000 0004 1764 5606, GRID grid.459560.b, Department of Critical Care Medicine, , Hainan Provincial People’s Hospital, ; No. 19 Xiuhua Road, Haikou, 570311 People’s Republic of China
                [10 ]ISNI 0000 0004 1760 3705, GRID grid.413352.2, Department of Critical Care Medicine, , Guangdong General Hospital, ; 106 Zhongshan Er Road, Guangzhou, 510080 People’s Republic of China
                [11 ]GRID grid.452829.0, Department of Emergency and Critical Care Medicine, , The Second Hospital of Jilin University, ; 18 Ziqiang Street, Changchun, 130041 People’s Republic of China
                [12 ]ISNI 0000 0004 0369 153X, GRID grid.24696.3f, Department of Critical Care Medicine, , Fuxing Hospital, Capital Medical University, ; A20 Fuxingmenwai Street, Beijing, 100038 People’s Republic of China
                [13 ]GRID grid.256883.2, Department of Critical Care Medicine, , Hebei Medical University Fourth Hospital, ; 12 Jiankang Road, Shijiazhuang, 050011 People’s Republic of China
                [14 ]ISNI 0000 0004 1798 6507, GRID grid.417401.7, Department of Critical Care Medicine, , Zhejiang Provincial People’s Hospital, ; 158 Shangtang Road, Hangzhou, 310014 People’s Republic of China
                [15 ]ISNI 0000 0004 1758 0400, GRID grid.412683.a, Department of Critical Care Medicine, , The First Affiliated Hospital of Fujian Medical University, ; 20 Chazhong Road, Fuzhou, 350005 People’s Republic of China
                [16 ]ISNI 0000 0004 0369 153X, GRID grid.24696.3f, Department of Critical Care Medicine, , Beijing Tongren Hospital, Capital Medical University, ; 2 Chongwenmennei Street, Beijing, 100730 People’s Republic of China
                [17 ]Department of Critical Care Medicine, Qilu Hospital, Shandong University, 107 Wenhua Xi Road, Jinan, 250012 People’s Republic of China
                [18 ]ISNI 0000 0004 0632 4559, GRID grid.411634.5, Department of Critical Care Medicine, , Peking University People’s Hospital, ; 11 Xizhimen South Street, Beijing, 100044 People’s Republic of China
                [19 ]GRID grid.431010.7, Department of Critical Care Medicine, , Xiangya Hospital, Central South University, ; 87 Xiangya Road, Changsha, 410008 People’s Republic of China
                [20 ]ISNI 0000 0004 1757 7666, GRID grid.413375.7, Department of Critical Care Medicine, , The Affiliated Hospital of Inner Mongolia Medical College, ; 1 Tongdao North Street, Huhhot, 010050 People’s Republic of China
                [21 ]GRID grid.413385.8, Department of Critical Care Medicine, , Affiliated Hospital of Ningxia Medical University, ; 804 Shengli South Street, Yinchuan, 750004 People’s Republic of China
                [22 ]ISNI 0000 0004 1799 374X, GRID grid.417295.c, Surgical ICU, Department of Anesthesia, , Xijing Hospital, ; 127 Chang Le Xi Road, Xi’an, 710032 People’s Republic of China
                [23 ]GRID grid.412633.1, , Surgical ICU, The First Affiliated Hospital of Zhengzhou University, ; 1 Jianshe Road, Zhengzhou, 450052 Henan People’s Republic of China
                [24 ]ISNI 0000 0004 0368 8293, GRID grid.16821.3c, , Ruijin Hospital, Shanghai Jiao Tong University, ; No. 197 Ruijin Er Road, Shanghai, 200025 People’s Republic of China
                Article
                1606
                10.1186/s13054-017-1606-4
                5251343
                28107822
                e82f8888-6d5e-4448-a973-b7e7912b1ec0
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 6 October 2016
                : 4 January 2017
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Emergency medicine & Trauma
                acute respiratory distress syndrome,chest radiograph,diagnostic accuracy,inter-rater variability

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