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Nickolls BJ, Relton C, Hemkens L, Zwarenstein M, Eldridge S, McCall SJ, Griffin XL, Sohanpal R, Verkooijen HM, Maguire JL, McCord KA. Randomised trials conducted using cohorts: a scoping review. BMJ Open 2024; 14:e075601. [PMID: 38458814 PMCID: PMC10928784 DOI: 10.1136/bmjopen-2023-075601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/24/2023] [Indexed: 03/10/2024] Open
Abstract
INTRODUCTION Cohort studies generate and collect longitudinal data for a variety of research purposes. Randomised controlled trials (RCTs) increasingly use cohort studies as data infrastructures to help identify and recruit trial participants and assess outcomes. OBJECTIVE To examine the extent, range and nature of research using cohorts for RCTs and describe the varied definitions and conceptual boundaries for RCTs using cohorts. DESIGN Scoping review. DATA SOURCES Searches were undertaken in January 2021 in MEDLINE (Ovid) and EBM Reviews-Cochrane Methodology Registry (Final issue, third Quarter 2012). ELIGIBILITY CRITERIA Reports published between January 2007 and December 2021 of (a) cohorts used or planned to be used, to conduct RCTs, or (b) RCTs which use cohorts to recruit participants and/or collect trial outcomes, or (c) methodological studies discussing the use of cohorts for RCTs. DATA EXTRACTION AND SYNTHESIS Data were extracted on the condition being studied, age group, setting, country/continent, intervention(s) and comparators planned or received, unit of randomisation, timing of randomisation, approach to informed consent, study design and terminology. RESULTS A total of 175 full-text articles were assessed for eligibility. We identified 61 protocols, 9 descriptions of stand-alone cohorts intended to be used for future RCTs, 39 RCTs using cohorts and 34 methodological papers.The use and scope of this approach is growing. The thematics of study are far-ranging, including population health, oncology, mental and behavioural disorders, and musculoskeletal conditions.Authors reported that this approach can lead to more efficient recruitment, more representative samples, and lessen disappointment bias and crossovers. CONCLUSION This review outlines the development of cohorts to conduct RCTs including the range of use and innovative changes and adaptations. Inconsistencies in the use of terminology and concepts are highlighted. Guidance now needs to be developed to support the design and reporting of RCTs conducted using cohorts.
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Affiliation(s)
- Beverley Jane Nickolls
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Clare Relton
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Lars Hemkens
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
- Meta-Research Innovation Center Berlin (METRICS-B), Berlin Institute of Health, Berlin, Germany
| | - Merrick Zwarenstein
- Department of Family Medicine, Western University, London, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Sandra Eldridge
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Stephen J McCall
- National Perinatal Epidemiology Unit, Clinical Trials Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Center for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Ras Beirut, Lebanon
| | - Xavier Luke Griffin
- Bone and Joint Health, Blizard Institute, Queen Mary University of London, London, UK
- Barts Health NHS Trust, Royal London Hospital, London, UK
| | - Ratna Sohanpal
- Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Helena M Verkooijen
- University Medical Centre Utrecht, Utrecht, The Netherlands
- University of Utrecht, Utrecht, The Netherlands
| | - Jonathon L Maguire
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
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Vivaldi G, Pfeffer PE, Talaei M, Basera TJ, Shaheen SO, Martineau AR. Long-term symptom profiles after COVID-19 vs other acute respiratory infections: an analysis of data from the COVIDENCE UK study. EClinicalMedicine 2023; 65:102251. [PMID: 38106559 PMCID: PMC10721552 DOI: 10.1016/j.eclinm.2023.102251] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/04/2023] [Accepted: 09/15/2023] [Indexed: 12/19/2023] Open
Abstract
Background Long COVID is a well recognised, if heterogeneous, entity. Acute respiratory infections (ARIs) due to other pathogens may cause long-term symptoms, but few studies compare post-acute sequelae between SARS-CoV-2 and other ARIs. We aimed to compare symptom profiles between people with previous SARS-CoV-2 infection, people with previous non-COVID-19 ARIs, and contemporaneous controls, and to identify clusters of long-term symptoms. Methods COVIDENCE UK is a prospective, population-based UK study of ARIs in adults. We analysed data for 16 potential long COVID symptoms and health-related quality of life (HRQoL), reported between January 21 and February 15, 2021, by participants unvaccinated against SARS-CoV-2. We classified participants as having previous SARS-CoV-2 infection or previous non-COVID-19 ARI (≥4 weeks prior) or no reported ARI. We compared symptoms by infection status using logistic and fractional regression, and identified symptom clusters using latent class analysis (LCA). This study is registered with ClinicalTrials.gov, NCT04330599. Findings We included 10,171 participants (1311 [12.9%] with SARS-CoV-2 infection, 472 [4.6%] with non-COVID-19 ARI). Both types of infection were associated with increased prevalence/severity of most symptoms and decreased HRQoL compared with no infection. Participants with SARS-CoV-2 infection had increased odds of problems with taste/smell (odds ratio 19.74, 95% CI 10.53-37.00) and lightheadedness or dizziness (1.74, 1.18-2.56) compared with participants with non-COVID-19 ARIs. Separate LCA models identified three symptom severity groups for each infection type. In the most severe groups (representing 22% of participants for both SARS-CoV-2 and non-COVID-19 ARI), SARS-CoV-2 infection presented with a higher probability of problems with taste/smell (probability 0.41 vs 0.04), hair loss (0.25 vs 0.16), unusual sweating (0.38 vs 0.25), unusual racing of the heart (0.43 vs 0.33), and memory problems (0.70 vs 0.55) than non-COVID-19 ARI. Interpretation Both SARS-CoV-2 and non-COVID-19 ARIs are associated with a wide range of symptoms more than 4 weeks after the acute infection. Research on post-acute sequelae of ARIs should extend from SARS-CoV-2 to include other pathogens. Funding Barts Charity.
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Affiliation(s)
- Giulia Vivaldi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paul E. Pfeffer
- Barts Health NHS Trust, London, UK
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Mohammad Talaei
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Tariro Jayson Basera
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Seif O. Shaheen
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Adrian R. Martineau
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Asthma UK Centre for Applied Research, Queen Mary University of London, London, UK
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Zheng B, Vivaldi G, Daines L, Leavy OC, Richardson M, Elneima O, McAuley HJ, Shikotra A, Singapuri A, Sereno M, Saunders RM, Harris VC, Houchen-Wolloff L, Greening NJ, Pfeffer PE, Hurst JR, Brown JS, Shankar-Hari M, Echevarria C, De Soyza A, Harrison EM, Docherty AB, Lone N, Quint JK, Chalmers JD, Ho LP, Horsley A, Marks M, Poinasamy K, Raman B, Heaney LG, Wain LV, Evans RA, Brightling CE, Martineau A, Sheikh A. Determinants of recovery from post-COVID-19 dyspnoea: analysis of UK prospective cohorts of hospitalised COVID-19 patients and community-based controls. Lancet Reg Health Eur 2023; 29:100635. [PMID: 37261214 PMCID: PMC10145209 DOI: 10.1016/j.lanepe.2023.100635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/17/2023] [Accepted: 03/27/2023] [Indexed: 06/02/2023]
Abstract
Background The risk factors for recovery from COVID-19 dyspnoea are poorly understood. We investigated determinants of recovery from dyspnoea in adults with COVID-19 and compared these to determinants of recovery from non-COVID-19 dyspnoea. Methods We used data from two prospective cohort studies: PHOSP-COVID (patients hospitalised between March 2020 and April 2021 with COVID-19) and COVIDENCE UK (community cohort studied over the same time period). PHOSP-COVID data were collected during hospitalisation and at 5-month and 1-year follow-up visits. COVIDENCE UK data were obtained through baseline and monthly online questionnaires. Dyspnoea was measured in both cohorts with the Medical Research Council Dyspnoea Scale. We used multivariable logistic regression to identify determinants associated with a reduction in dyspnoea between 5-month and 1-year follow-up. Findings We included 990 PHOSP-COVID and 3309 COVIDENCE UK participants. We observed higher odds of improvement between 5-month and 1-year follow-up among PHOSP-COVID participants who were younger (odds ratio 1.02 per year, 95% CI 1.01-1.03), male (1.54, 1.16-2.04), neither obese nor severely obese (1.82, 1.06-3.13 and 4.19, 2.14-8.19, respectively), had no pre-existing anxiety or depression (1.56, 1.09-2.22) or cardiovascular disease (1.33, 1.00-1.79), and shorter hospital admission (1.01 per day, 1.00-1.02). Similar associations were found in those recovering from non-COVID-19 dyspnoea, excluding age (and length of hospital admission). Interpretation Factors associated with dyspnoea recovery at 1-year post-discharge among patients hospitalised with COVID-19 were similar to those among community controls without COVID-19. Funding PHOSP-COVID is supported by a grant from the MRC-UK Research and Innovation and the Department of Health and Social Care through the National Institute for Health Research (NIHR) rapid response panel to tackle COVID-19. The views expressed in the publication are those of the author(s) and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health and Social Care.COVIDENCE UK is supported by the UK Research and Innovation, the National Institute for Health Research, and Barts Charity. The views expressed are those of the authors and not necessarily those of the funders.
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Affiliation(s)
- Bang Zheng
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Giulia Vivaldi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Luke Daines
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Olivia C. Leavy
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Matthew Richardson
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Omer Elneima
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Hamish J.C. McAuley
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Aarti Shikotra
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Amisha Singapuri
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Marco Sereno
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Ruth M. Saunders
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Victoria C. Harris
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Linzy Houchen-Wolloff
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University of Leicester, Leicester, UK
- Therapy Department, University Hospitals of Leicester, NHS Trust, Leicester, UK
| | - Neil J. Greening
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Paul E. Pfeffer
- Barts Health NHS Trust, London, UK
- Queen Mary University of London, London, UK
| | - John R. Hurst
- UCL Respiratory, University College London, London, UK
| | | | - Manu Shankar-Hari
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
| | - Carlos Echevarria
- The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Anthony De Soyza
- The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
- Population Health Science Institute, Newcastle University, Newcastle, UK
| | - Ewen M. Harrison
- Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Annemarie B. Docherty
- Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Nazir Lone
- Usher Institute, University of Edinburgh, Edinburgh, UK
- Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK
| | | | - James D. Chalmers
- University of Dundee, Ninewells Hospital and Medical School, Dundee, UK
| | - Ling-Pei Ho
- Medical Research Council (MRC) Human Immunology Unit, University of Oxford, Oxford, UK
| | - Alex Horsley
- Division of Infection, Immunity & Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Michael Marks
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
- Hospital for Tropical Diseases, University College London Hospital, London, UK
- Division of Infection and Immunity, University College London, London, UK
| | | | - Betty Raman
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Liam G. Heaney
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University, Belfast, UK
| | - Louise V. Wain
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Rachael A. Evans
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Christopher E. Brightling
- The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Adrian Martineau
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Asthma UK Centre for Applied Research, Queen Mary University of London, London, UK
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, Edinburgh, UK
- Asthma UK Centre for Applied Research, University of Edinburgh, Edinburgh, UK
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