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Pereira TV, Saadat P, Bobos P, Iskander SM, Bodmer NS, Rudnicki M, Dan Kiyomoto H, Montezuma T, Almeida MO, Bansal R, Cheng PS, Busse JW, Sutton AJ, Tugwell P, Hawker GA, Jüni P, da Costa BR. Effectiveness and safety of intra-articular interventions for knee and hip osteoarthritis based on large randomized trials: A systematic review and network meta-analysis. Osteoarthritis Cartilage 2024:S1063-4584(24)01389-X. [PMID: 39265924 DOI: 10.1016/j.joca.2024.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/08/2024] [Accepted: 08/25/2024] [Indexed: 09/14/2024]
Abstract
OBJECTIVE To quantify the effectiveness and safety of intra-articular interventions for knee and hip osteoarthritis (OA) through a systematic review and Bayesian random-effects network meta-analysis. DESIGN We searched CENTRAL and regulatory agency websites (inception-2023) for large, English-language, randomized controlled trials (RCTs) (≥100 patients/group) examining any intra-articular intervention. PRIMARY OUTCOME pain intensity. SECONDARY OUTCOMES physical function and safety outcomes. Pain and function outcomes were analyzed at 2, 6, 12, 24, and 52 weeks post-randomization, and presented as standardized mean differences (SMDs) (95% credible intervals, 95% CrI). The prespecified minimal clinically important between-group difference (MID) was -0.37 SMD. Safety outcomes were presented as odds ratios (OR) (95% CrI). FINDINGS Among 57 RCTs (22,795 participants) examining 18 intra-articular interventions, usual care or placebo, treatment effects were larger in 35 high-risk-of-bias trials than in 22 low/unclear-risk-of-bias trials. In the main analysis (excluding high-risk-of-bias trials), triamcinolone had the highest probabilities of reaching the MID at weeks 2 and 6 (75.3% and 90%, respectively) with corresponding SMDs of -0.48 (95% CrI,-0.85 to -0.10) and -0.53 (95% CrI,-0.79 to -0.27) compared to placebo (1 trial). The complex homeopathic products Tr14/Ze14 showed therapeutic potential at week 6 compared to placebo (SMD:-0.42, 95% CrI,-0.71 to -0.11, 63.5% probability of reaching the MID, 1 trial). Hyaluronic acid had no effect on pain (SMD:-0.04, 95% CrI,-0.19 to 0.11, 11 trials) but a higher risk of dropouts due to adverse events (OR: 2.01, 95% CrI,1.08 to 3.77) and serious adverse events (OR: 1.86, 95% CrI, 1.16 to 3.03) than placebo. CONCLUSION Triamcinolone had the highest probabilities to have a treatment effect beyond the MID at weeks 2-6. Large RCTs with lower risk of bias indicate that the effects of 16 intra-articular interventions in knee or hip OA were smaller than the MID, and that most were consistent with placebo effects. Lack of evidence of long-term effectiveness underscores the need for further research beyond 24 weeks.
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Affiliation(s)
- Tiago V Pereira
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pakeezah Saadat
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Pavlos Bobos
- School of Physical Therapy, Western University, London, ON, Canada; Western's Bone and Joint Institute, Western University, London, ON, Canada
| | - Samir M Iskander
- Schulich School of Medicine, University of Western Ontario, London N6A 3K7, Canada
| | - Nicolas S Bodmer
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; University of Zurich, Medical Faculty, CH-8091 Zurich, Switzerland
| | - Martina Rudnicki
- Institute of Ophthalmology, University College London, London, UK
| | - Henry Dan Kiyomoto
- Department of Physiotherapy, Faculty of the Americas (FAM), São Paulo, Brazil
| | - Thais Montezuma
- Health Technology Assessment Unit, Oswaldo Cruz German Hospital, São Paulo, Brazil
| | - Matheus O Almeida
- Health Technology Assessment Unit, Oswaldo Cruz German Hospital, São Paulo, Brazil
| | - Rishi Bansal
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pai-Shan Cheng
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Jason W Busse
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Alex J Sutton
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Peter Tugwell
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Gillian A Hawker
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Peter Jüni
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bruno R da Costa
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Institute of Primary Health Care (BIHAM), University of Bern, Switzerland.
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Marlin N, Godolphin PJ, Hooper RL, Riley RD, Rogozińska E. Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is available. J Clin Epidemiol 2023; 159:319-329. [PMID: 37146657 DOI: 10.1016/j.jclinepi.2023.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/20/2023] [Accepted: 04/26/2023] [Indexed: 05/07/2023]
Abstract
OBJECTIVES To review methodological guidance for nonlinear covariate-outcome associations (NL), and linear effect modification and nonlinear effect modification (LEM and NLEM) at the participant level in individual participant data meta-analyses (IPDMAs) and their power requirements. STUDY DESIGN AND SETTING We searched Medline, Embase, Web of Science, Scopus, PsycINFO and the Cochrane Library to identify methodology publications on IPDMA of LEM, NL or NLEM (PROSPERO CRD42019126768). RESULTS Through screening 6,466 records we identified 54 potential articles of which 23 full texts were relevant. Nine further relevant publications were published before or after the literature search and were added. Of these 32 references, 21 articles considered LEM, 6 articles NL or NLEM and 6 articles described sample size calculations. A book described all four. Sample size may be calculated through simulation or closed form. Assessments of LEM or NLEM at the participant level need to be based on within-trial information alone. Nonlinearity (NL or NLEM) can be modeled using polynomials or splines to avoid categorization. CONCLUSION Detailed methodological guidance on IPDMA of effect modification at participant-level is available. However, methodology papers for sample size and nonlinearity are rarer and may not cover all scenarios. On these aspects, further guidance is needed.
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Affiliation(s)
- Nadine Marlin
- Methodology Research Unit, Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, 58 Turner Street, London E1 2AB, UK.
| | - Peter J Godolphin
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, 90 High Holborn, London WC1V 6LJ, UK
| | - Richard L Hooper
- Methodology Research Unit, Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, 58 Turner Street, London E1 2AB, UK
| | - Richard D Riley
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Ewelina Rogozińska
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, 90 High Holborn, London WC1V 6LJ, UK
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Walker R, Stewart L, Simmonds M. Estimating interactions in individual participant data meta-analysis: a comparison of methods in practice. Syst Rev 2022; 11:211. [PMID: 36199096 PMCID: PMC9535994 DOI: 10.1186/s13643-022-02086-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 09/28/2022] [Indexed: 11/10/2022] Open
Abstract
Medical interventions may be more effective in some types of individuals than others and identifying characteristics that modify the effectiveness of an intervention is a cornerstone of precision or stratified medicine. The opportunity for detailed examination of treatment-covariate interactions can be an important driver for undertaking an individual participant data (IPD) meta-analysis, rather than a meta-analysis using aggregate data. A number of recent modelling approaches are available. We apply these methods to the Perinatal Antiplatelet Review of International Studies (PARIS) Collaboration IPD dataset and compare estimates between them. We discuss the practical implications of applying these methods, which may be of interest to aid meta-analysists in the use of these, often complex models.Models compared included the two-stage meta-analysis of interaction terms and one-stage models which fit multiple random effects and separate within and between trial information. Models were fitted for nine covariates and five binary outcomes and results compared.Interaction terms produced by the methods were generally consistent. We show that where data are sparse and there is low heterogeneity in the covariate distributions across trials, the meta-analysis of interactions may produce unstable estimates and have issues with convergence. In this IPD dataset, varying assumptions by using multiple random effects in one-stage models or using only within trial information made little difference to the estimates of treatment-covariate interaction. Method choice will depend on datasets characteristics and individual preference.
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Affiliation(s)
- Ruth Walker
- Centre for Reviews and Dissemination, University of York, Heslington, York, YO10 5DD, UK.
| | - Lesley Stewart
- Centre for Reviews and Dissemination, University of York, Heslington, York, YO10 5DD, UK
| | - Mark Simmonds
- Centre for Reviews and Dissemination, University of York, Heslington, York, YO10 5DD, UK
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Shields GE, Wilberforce M, Clarkson P, Farragher T, Verma A, Davies LM. Factors Limiting Subgroup Analysis in Cost-Effectiveness Analysis and a Call for Transparency. PHARMACOECONOMICS 2022; 40:149-156. [PMID: 34713422 PMCID: PMC8553493 DOI: 10.1007/s40273-021-01108-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/18/2021] [Indexed: 05/03/2023]
Abstract
The use of population averages in cost-effectiveness analysis may hide important differences across subgroups, potentially resulting in suboptimal resource allocation, reduced population health and/or increased health inequalities. We discuss the factors that limit subgroup analysis in cost-effectiveness analysis and propose more thorough and transparent reporting. There are many issues that may limit whether subgroup analysis can be robustly included in cost-effectiveness analysis, including challenges with prespecifying and justifying subgroup analysis, identifying subgroups that can be implemented (identified and targeted) in practice, resource and data requirements, and statistical and ethical concerns. These affect every stage of the design, development and reporting of cost-effectiveness analyses. It may not always be possible to include and report relevant subgroups in cost effectiveness, e.g. due to data limitations. Reasons for not conducting subgroup analysis may be heterogeneous, and the consequences of not acknowledging patient heterogeneity can be substantial. We recommend that when potentially relevant subgroups have not been included in a cost-effectiveness analysis, authors report this and discuss their rationale and the limitations of this. Greater transparency of subgroup reporting should provide a starting point to overcoming these challenges in future research.
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Affiliation(s)
- Gemma E Shields
- Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK.
| | - Mark Wilberforce
- Social Policy Research Unit, Department of Social Policy and Social Work, University of York, York, UK
| | - Paul Clarkson
- Social Care and Society, Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Tracey Farragher
- The Epidemiology and Public Health Group (EPHG), Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Arpana Verma
- The Epidemiology and Public Health Group (EPHG), Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Linda M Davies
- Division of Population Health, Health Services Research, and Primary Care, Faculty of Biology, Medicine and Health, Manchester Centre for Health Economics, School of Health Sciences, University of Manchester, Manchester, UK
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Maraolo AE, Crispo A, Piezzo M, Di Gennaro P, Vitale MG, Mallardo D, Ametrano L, Celentano E, Cuomo A, Ascierto PA, Cascella M. The Use of Tocilizumab in Patients with COVID-19: A Systematic Review, Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Studies. J Clin Med 2021; 10:jcm10214935. [PMID: 34768455 PMCID: PMC8584705 DOI: 10.3390/jcm10214935] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/21/2021] [Accepted: 10/23/2021] [Indexed: 12/22/2022] Open
Abstract
Background: Among the several therapeutic options assessed for the treatment of coronavirus disease 2019 (COVID-19), tocilizumab (TCZ), an antagonist of the interleukine-6 receptor, has emerged as a promising therapeutic choice, especially for the severe form of the disease. Proper synthesis of the available randomized clinical trials (RCTs) is needed to inform clinical practice. Methods: A systematic review with a meta-analysis of RCTs investigating the efficacy of TCZ in COVID-19 patients was conducted. PubMed, EMBASE, and the Cochrane COVID-19 Study Register were searched up until 30 April 2021. Results: The database search yielded 2885 records; 11 studies were considered eligible for full-text review, and nine met the inclusion criteria. Overall, 3358 patients composed the TCZ arm, and 3131 the comparator group. The main outcome was all-cause mortality at 28–30 days. Subgroup analyses according to trials’ and patients’ features were performed. A trial sequential analysis (TSA) was also carried out to minimize type I and type II errors. According to the fixed-effect model approach, TCZ was associated with a better survival odds ratio (OR) (0.84; 95% confidence interval (CI): 0.75–0.94; I2: 24% (low heterogeneity)). The result was consistent in the subgroup of severe disease (OR: 0.83; 95% CI: 0.74–0.93; I2: 53% (moderate heterogeneity)). However, the TSA illustrated that the required information size was not met unless the study that was the major source of heterogeneity was omitted. Conclusions: TCZ may represent an important weapon against severe COVID-19. Further studies are needed to consolidate this finding.
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Affiliation(s)
- Alberto Enrico Maraolo
- First Division of Infectious Diseases, Cotugno Hospital, AORN dei Colli, 80131 Naples, Italy;
| | - Anna Crispo
- Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (P.D.G.); (E.C.)
- Correspondence:
| | - Michela Piezzo
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy;
| | - Piergiacomo Di Gennaro
- Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (P.D.G.); (E.C.)
| | - Maria Grazia Vitale
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto NazionaleTumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (M.G.V.); (D.M.); (P.A.A.)
| | - Domenico Mallardo
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto NazionaleTumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (M.G.V.); (D.M.); (P.A.A.)
| | - Luigi Ametrano
- Department of Clinical Medicine and Surgery, Section of Infectious Diseases, University of Naples Federico II, 80131 Naples, Italy;
| | - Egidio Celentano
- Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (P.D.G.); (E.C.)
| | - Arturo Cuomo
- Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (A.C.); (M.C.)
| | - Paolo A. Ascierto
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto NazionaleTumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (M.G.V.); (D.M.); (P.A.A.)
| | - Marco Cascella
- Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy; (A.C.); (M.C.)
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Odutayo A, da Costa BR, Pereira TV, Garg V, Iskander S, Roble F, Lalji R, Hincapié CA, Akingbade A, Rodrigues M, Agarwal A, Lawendy B, Saadat P, Udell JA, Cosentino F, Grant PJ, Verma S, Jüni P. Sodium-Glucose Cotransporter 2 Inhibitors, All-Cause Mortality, and Cardiovascular Outcomes in Adults with Type 2 Diabetes: A Bayesian Meta-Analysis and Meta-Regression. J Am Heart Assoc 2021; 10:e019918. [PMID: 34514812 PMCID: PMC8649541 DOI: 10.1161/jaha.120.019918] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background This study aimed to assess the effectiveness of sodium‐glucose cotransporter 2 inhibitors in reducing the incidence of mortality and cardiovascular outcomes in adults with type 2 diabetes. Methods and Results We conducted a Bayesian meta‐analysis of randomized controlled trials comparing sodium‐glucose cotransporter 2 inhibitors with placebo. We used meta‐regression to examine the association between treatment effects and control group event rates as measures of cardiovascular baseline risk. Fifty‐three randomized controlled trials were included in our synthesis. Empagliflozin, canagliflozin, and dapagliflozin reduced the incidence of all‐cause mortality (empagliflozin: rate ratio [RR], 0.79; 95% credibility interval [CrI], 0.63–0.97; canagliflozin: RR, 0.86; 95% CrI, 0.69–1.05; dapagliflozin: RR, 0.86; 95% CrI, 0.72–1.01) and cardiovascular mortality (empagliflozin: RR, 0.78; 95% CrI, 0.61–1.00; canagliflozin: RR, 0.83; 95% CrI, 0.63–1.05; dapagliflozin: RR, 0.88; 95% CrI, 0.71–1.08), with a 90.1% to 98.7% probability for the true RR to be <1.00 for both outcomes. There was little evidence for ertugliflozin and sotagliflozin versus placebo for reducing all‐cause and cardiovascular mortality. There was no association between treatment effects for all‐cause and cardiovascular mortality and the control group event rates. There was evidence for a reduction in the incidence of heart failure for empagliflozin, canagliflozin, dapagliflozin, and ertugliflozin versus placebo (probability RR <1.00 of ≥99.3%) and weaker, albeit positive, evidence for acute myocardial infarction for the first 3 agents (probability RR <1.00 of 89.0%–95.2%). There was little evidence of any agent except canagliflozin for reducing the incidence of stroke. Conclusions Empagliflozin, canagliflozin, and dapagliflozin reduced the incidence of all‐cause and cardiovascular mortality versus placebo. Treatment effects of sodium‐glucose cotransporter 2 inhibitors versus placebo do not vary by baseline risk.
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Affiliation(s)
- Ayodele Odutayo
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada
| | - Bruno R da Costa
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada
| | - Tiago V Pereira
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada.,Department of Health Sciences University of Leicester UK
| | - Vinay Garg
- Faculty of Medicine Department of Medicine University of Toronto Ontario Canada
| | - Samir Iskander
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada
| | - Fatimah Roble
- Faculty of Medicine Department of Medicine University of Toronto Ontario Canada
| | - Rahim Lalji
- Department of Chiropractic Medicine Faculty of Medicine University of Zurich and Balgrist University Hospital Zurich Switzerland.,Epidemiology, Biostatistics and Prevention Institute University of Zurich Zurich Switzerland
| | - Cesar A Hincapié
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada.,Department of Chiropractic Medicine Faculty of Medicine University of Zurich and Balgrist University Hospital Zurich Switzerland.,Epidemiology, Biostatistics and Prevention Institute University of Zurich Zurich Switzerland
| | | | - Myanca Rodrigues
- Health Research Methodology Graduate Program Department of Health Research Methods, Evidence & Impact Faculty of Health Sciences McMaster University Hamilton Ontario Canada
| | - Arnav Agarwal
- Faculty of Medicine Department of Medicine University of Toronto Ontario Canada
| | - Bishoy Lawendy
- Faculty of Medicine Department of Medicine University of Toronto Ontario Canada
| | - Pakeezah Saadat
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada
| | - Jacob A Udell
- Faculty of Medicine Department of Medicine University of Toronto Ontario Canada
| | - Francesco Cosentino
- Cardiology Unit Department of Medicine Solna Karolinska Institute &Karolinska University Hospital Stockholm Sweden
| | - Peter J Grant
- Leeds Institute of Cardiovascular and Metabolic Medicine University of Leeds/Leeds Teaching Hospitals NHS TrustLIGHT Laboratories Leeds UK
| | - Subodh Verma
- Departments of Surgery, and Pharmacology and Toxicology University of Toronto Ontario Canada
| | - Peter Jüni
- Department of Medicine and Institute of Health Policy, Management and Evaluation Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's HospitalUniversity of Toronto Canada
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