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      Effect of Vasopressin and Methylprednisolone vs Placebo on Return of Spontaneous Circulation in Patients With In-Hospital Cardiac Arrest : A Randomized Clinical Trial

      1 , 2 , 3 , 4 , 5 , 4 , 6 , 6 , 6 , 6 , 1 , 3 , 2 , 2 , 7 , 8 , 8 , 9 , 7 , 8 , 10 , 11 , 12 , 13 , 14 , 1 , 10 , 1 , 10 , 15 , 16 , 16 , 17 , 17 , 12 , 18 , 19 , 18 , 20 , 20 , 21 , 22 , 23 , 1 , 1 , 1 , 24 , 2
      JAMA
      American Medical Association (AMA)

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          Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

          Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
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            A modified poisson regression approach to prospective studies with binary data.

            G Zou (2004)
            Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.
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              Interobserver agreement for the assessment of handicap in stroke patients

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                Author and article information

                Journal
                JAMA
                JAMA
                American Medical Association (AMA)
                0098-7484
                September 29 2021
                Affiliations
                [1 ]Research Center for Emergency Medicine, Department of Clinical Medicine and Emergency Department, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
                [2 ]Department of Anesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark
                [3 ]Prehospital Emergency Medical Services, Central Denmark Region, Aarhus, Denmark
                [4 ]Department of Anesthesia, Centre of Head and Orthopedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [5 ]Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
                [6 ]Department of Anesthesiology and Intensive Care, Odense University Hospital, Odense, Denmark
                [7 ]Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
                [8 ]Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
                [9 ]Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
                [10 ]Department of Medicine, Randers Regional Hospital, Randers, Denmark
                [11 ]Department of Emergency Medicine, Herlev and Gentofte University Hospital, Copenhagen, Denmark
                [12 ]Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
                [13 ]Department of Internal Medicine, Herlev and Gentofte University Hospital, Copenhagen, Denmark
                [14 ]Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia, Pennsylvania
                [15 ]Unit of Clinical Simulation and Education, Herlev and Gentofte University Hospital, Copenhagen, Denmark
                [16 ]Department of Anesthesiology and Intensive Care, Viborg Regional Hospital, Viborg, Denmark
                [17 ]Department of Anesthesiology and Intensive Care, Horsens Regional Hospital, Horsens, Denmark
                [18 ]Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark
                [19 ]Copenhagen Emergency Medical Services, University of Copenhagen, Copenhagen, Denmark
                [20 ]Department of Anesthesiology, Zealand University Hospital, Køge, Denmark
                [21 ]Center for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
                [22 ]Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
                [23 ]Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
                [24 ]Department of Cardiology, Viborg Regional Hospital, Viborg, Denmark
                Article
                10.1001/jama.2021.16628
                34587236
                629b8f7b-e0f7-4579-82b9-af8e2bf815d9
                © 2021
                History

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