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      Is Open Access

      Cost-effectiveness of adding a non-invasive acoustic rule-out test in the evaluation of patients with symptoms suggestive of coronary artery disease: rationale and design of the prospective, randomised, controlled, parallel-group multicenter FILTER-SCAD trial

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          Abstract

          Introduction

          Most patients with symptoms suggestive of chronic coronary syndrome (CCS) have no obstructive coronary artery disease (CAD) and better selection of patients to be referred for diagnostic tests is needed. The CAD-score is a non-invasive acoustic measure that, when added to pretest probability of CAD, has shown good rule-out capabilities. We aimed to test whether implementation of CAD-score in clinical practice reduces the use of diagnostic tests without increasing major adverse cardiac events (MACE) rates in patients with suspected CCS.

          Methods and analysis

          FILTER-SCAD is a randomised, controlled, multicenter trial aiming to include 2000 subjects aged ≥30 years without known CAD referred for outpatient assessment for symptoms suggestive of CCS. Subjects are randomised 1:1 to either the control group: standard diagnostic examination (SDE) according to the current guidelines, or the intervention group: SDE plus a CAD-score. The subjects are followed for 12 months for the primary endpoint of cumulative number of diagnostic tests and a safety endpoint (MACE). Angina symptoms, quality of life and risk factor modification will be assessed with questionnaires at baseline, 3 months and 12 months after randomisation. The study is powered to detect superiority in terms of a reduction of ≥15% in the primary endpoint between the two groups with a power of 80%, and non-inferiority on the secondary endpoint with a power of 90%. The significance level is 0.05. The non-inferiority margin is set to 1.5%. Randomisation began on October 2019. Follow-up is planned to be completed by December 2022.

          Ethics and dissemination

          This study has been approved by the Danish Medical Agency (2019024326), Danish National Committee on Health Research Ethics (H-19012579) and Swedish Ethical Review Authority (Dnr 2019-04252). All patients participating in the study will sign an informed consent. All study results will be attempted to be published as soon as possible.

          Trial registration number
          NCT04121949; Pre-results.

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          Most cited references27

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                23 August 2021
                : 11
                : 8
                : e049380
                Affiliations
                [1 ]departmentDepartment of Cardiology , Bispebjerg Frederiksberg Hospital, University of Copenhagen , Copenhagen, Denmark
                [2 ]departmentDepartment of Cardiology , Herlev Hospital, University of Copenhagen , Herlev, Denmark
                [3 ]departmentDepartment of Cardiology , Gentofte Hospital, University of Copenhagen , Hellerup, Denmark
                [4 ]departmentDepartment of Biomedical Sciences , Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen, Denmark
                [5 ]departmentDepartment of Cardiology , Amager Hospital, University of Copenhagen , Copenhagen, Denmark
                [6 ]departmentDepartment of Clinical Physiology , Skåne University Hospital Lund , Lund, Sweden
                [7 ]departmentDepartment of Clinical Science , Skåne University Hospital Lund , Lund, Sweden
                [8 ]departmentDepartment of Cardiology , Hvidovre Hospital, University of Copenhagen , Hvidovre, Denmark
                [9 ]departmentCenter of Functional Imaging and Research , Amager Hvidovre Hospital, University of Copenhagen , Hvidovre, Denmark
                [10 ]departmentDanish Centre for Health Economics (DaCHE) , Syddansk Universitet , Odense, Denmark
                [11 ]departmentDepartment of Cardiology , Nordsjællands Hospital, University of Copenhagen , Hillerød, Denmark
                [12 ]The Danish Association of Practicing Medical Specialists , Copenhagen, Denmark
                Author notes
                [Correspondence to ] Dr Louise Hougesen Bjerking; louise.hougesen.bjerking@ 123456regionh.dk
                Author information
                http://orcid.org/0000-0002-2802-0041
                http://orcid.org/0000-0001-7159-8781
                Article
                bmjopen-2021-049380
                10.1136/bmjopen-2021-049380
                8383880
                34426466
                6929b538-20df-45fa-a2fa-e5b1939b9be1
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 24 January 2021
                : 03 August 2021
                Funding
                Funded by: Kai Houmann Nielsen Fond;
                Award ID: NA
                Funded by: Acarix A/S;
                Award ID: NA
                Funded by: Fonden for Faglig Udvikling i Speciallægepraksis;
                Award ID: A3068
                Funded by: Kai Hansens Fond;
                Award ID: NA
                Funded by: Helsefon;
                Award ID: 21-B-0348
                Categories
                Cardiovascular Medicine
                1506
                1683
                Protocol
                Custom metadata
                unlocked

                Medicine
                coronary heart disease,cardiology,ischaemic heart disease
                Medicine
                coronary heart disease, cardiology, ischaemic heart disease

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