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Komorowski AS, Lo CKL, Kapoor AK, Smieja M, Loeb M, Mertz D, Bai AD. More Than a Decade Since the Latest CONSORT Non-inferiority Trials Extension: Do Infectious Diseases Trials Do Enough? Clin Infect Dis 2024; 78:324-329. [PMID: 37739456 DOI: 10.1093/cid/ciad574] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/05/2023] [Accepted: 09/20/2023] [Indexed: 09/24/2023] Open
Abstract
More than a decade after the Consolidated Standards of Reporting Trials group released a reporting items checklist for non-inferiority randomized controlled trials, the infectious diseases literature continues to underreport these items. Trialists, journals, and peer reviewers should redouble their efforts to ensure infectious diseases studies meet these minimum reporting standards.
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Affiliation(s)
- Adam S Komorowski
- Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Carson K L Lo
- Transplant Infectious Diseases and Ajmera Transplant Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Andrew K Kapoor
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Marek Smieja
- Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mark Loeb
- Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Dominik Mertz
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Ontario, Canada
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Lo CKL, Lo CKF, Komorowski AS, Leung V, Matic N, McKenna S, Perez-Patrigeon S, Sheth PM, Lowe CF, Chagla Z, Bai AD. Evaluating in vivo effectiveness of sotrovimab for the treatment of Omicron subvariant BA.2 versus BA.1: a multicentre, retrospective cohort study. BMC Res Notes 2024; 17:37. [PMID: 38267971 PMCID: PMC10809552 DOI: 10.1186/s13104-024-06695-x] [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] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 01/16/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND In vitro data suggested reduced neutralizing capacity of sotrovimab, a monoclonal antibody, against Omicron BA.2 subvariant. However, limited in vivo data exist regarding clinical effectiveness of sotrovimab for coronavirus disease 2019 (COVID-19) due to Omicron BA.2. METHODS A multicentre, retrospective cohort study was conducted at three Canadian academic tertiary centres. Electronic medical records were reviewed for patients ≥ 18 years with mild COVID-19 (sequencing-confirmed Omicron BA.1 or BA.2) treated with sotrovimab between February 1 to April 1, 2022. Thirty-day co-primary outcomes included hospitalization due to moderate or severe COVID-19; all-cause intensive care unit (ICU) admission, and all-cause mortality. Risk differences (BA.2 minus BA.1 group) for co-primary outcomes were adjusted with propensity score matching (e.g., age, sex, vaccination, immunocompromised status). RESULTS Eighty-five patients were included (15 BA.2, 70 BA.1) with similar baseline characteristics between groups. Adjusted risk differences were non-statistically significant between groups for 30-day hospitalization (- 14.3%; 95% confidence interval (CI): - 32.6 to 4.0%), ICU admission (- 7.1%; 95%CI: - 20.6 to 6.3%), and mortality (- 7.1%; 95%CI: - 20.6 to 6.3%). CONCLUSIONS No differences were demonstrated in hospitalization, ICU admission, or mortality rates within 30 days between sotrovimab-treated patients with BA.1 versus BA.2 infection. More real-world data may be helpful to properly assess sotrovimab's effectiveness against infections due to specific emerging COVID-19 variants.
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Affiliation(s)
- Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada.
- Transplant Infectious Diseases and Ajmera Transplant Centre, University Health Network, 585 University Avenue, MaRS Building, 9th Floor, Toronto, ON, M5G 2N2, Canada.
| | - Calvin K F Lo
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Adam S Komorowski
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Victor Leung
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada
| | - Nancy Matic
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada
| | - Susan McKenna
- Department of Pharmacy Services, Kingston Health Sciences Centre, Kingston, ON, Canada
| | - Santiago Perez-Patrigeon
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Prameet M Sheth
- Division of Microbiology, Kingston Health Sciences Centre, Kingston, ON, Canada
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada
- Department of Biomedical & Molecular Sciences, Queen's University, Kingston, ON, Canada
- Gastrointestinal Disease Research Unit, Kingston Health Sciences Centre, Kingston, ON, Canada
| | - Christopher F Lowe
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, BC, Canada
| | - Zain Chagla
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
- St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, ON, Canada
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Lo CKL, Kumar D. Respiratory viral infections including COVID-19 in solid organ transplantation. Curr Opin Organ Transplant 2023; 28:471-482. [PMID: 37909926 DOI: 10.1097/mot.0000000000001106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
PURPOSE OF REVIEW Respiratory viral infections are prevalent and contribute to significant morbidity and mortality among solid organ transplant (SOT) recipients. We review updates from literature on respiratory viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in the SOT recipient. RECENT FINDINGS With the wider availability and use of molecular diagnostic tests, our understanding of the epidemiology and impact of respiratory viruses in the SOT population continues to expand. While considerable attention has been given to the coronavirus disease 2019 (COVID-19) pandemic, the advances in prevention and treatment strategies of SARS-CoV-2 offered valuable insights into the development of new therapeutic options for managing other respiratory viruses in both the general and SOT population. SUMMARY Respiratory viruses can present with a diverse range of symptoms in SOT recipients, with potentially associated acute rejection and chronic lung allograft dysfunction in lung transplant recipients. The epidemiology, clinical presentations, diagnostic approaches, and treatment and preventive strategies for clinically significant RNA and DNA respiratory viruses in SOT recipients are reviewed. This review also covers novel antivirals, immunologic therapies, and vaccines in development for various community-acquired respiratory viruses.
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Affiliation(s)
- Carson K L Lo
- Transplant Infectious Diseases, Ajmera Transplant Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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Lo CKL, Komorowski AS, Hall CW, Sandstrom TS, Alamer AAM, Mourad O, Li XX, Al Ohaly R, Benoit MÈ, Duncan DB, Fuller CA, Shaw S, Suresh M, Smaill F, Kapoor AK, Smieja M, Mertz D, Bai AD. Methodological and Reporting Quality of Noninferiority Randomized Controlled Trials Comparing Antiretroviral Therapies: A Systematic Review. Clin Infect Dis 2023; 77:1023-1031. [PMID: 37243351 DOI: 10.1093/cid/ciad308] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND It is unclear whether the reporting quality of antiretroviral (ARV) noninferiority (NI) randomized controlled trials (RCTs) has improved since the CONSORT guideline release in 2006. The primary objective of this systematic review was assessing the methodological and reporting quality of ARV NI-RCTs. We also assessed reporting quality by funding source and publication year. METHODS We searched Medline, Embase, and Cochrane Central from inception to 14 November 2022. We included NI-RCTs comparing ≥2 ARV regimens used for human immunodeficiency virus treatment or prophylaxis. We used the Cochrane Risk of Bias 2.0 tool to assess risk of bias. Screening and data extraction were performed blinded and in duplicate. Descriptive statistics were used to summarize data; statistical tests were 2 sided, with significance defined as P < .05. The systematic review was prospectively registered (PROSPERO CRD42022328586), and not funded. RESULTS We included 160 articles reporting 171 trials. Of these articles, 101 (63.1%) did not justify the NI margin used, and 28 (17.5%) did not provide sufficient information for sample size calculation. Eighty-nine of 160 (55.6%) reported both intention-to-treat and per-protocol analyses, while 118 (73.8%) described missing data handling. Ten of 171 trials (5.9%) reported potentially misleading results. Pharmaceutical industry-funded trials were more likely to be double-blinded (28.1% vs 10.3%; P = .03) and to describe missing data handling (78.5% vs 59.0%; P = .02). The overall risk of bias was low in 96 of 160 studies (60.0%). CONCLUSIONS ARV NI-RCTs should improve NI margin justification, reporting of intention-to-treat and per-protocol analyses, and missing data handling to increase CONSORT adherence.
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Affiliation(s)
- Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Transplant Infectious Diseases and Ajmera Transplant Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Adam S Komorowski
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Clayton W Hall
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Teslin S Sandstrom
- Division of Medical Microbiology, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Amnah A M Alamer
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Internal Medicine, King Faisal University, Hofuf, Saudi Arabia
| | - Omar Mourad
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Xena X Li
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Shared Hospital Laboratory, Toronto, Ontario, Canada
| | - Rand Al Ohaly
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Marie-Ève Benoit
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - D Brody Duncan
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Charlotte A Fuller
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Shazeema Shaw
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Georgetown Public Hospital Corporation, Georgetown, Guyana
| | - Mallika Suresh
- Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Fiona Smaill
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Andrew K Kapoor
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Marek Smieja
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Dominik Mertz
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Anthony D Bai
- Department of Health Research Methodology, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Ontario, Canada
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Bai AD, Jiang Y, Nguyen DL, Lo CKL, Stefanova I, Guo K, Wang F, Zhang C, Sayeau K, Garg A, Loeb M. Comparison of Preprint Postings of Randomized Clinical Trials on COVID-19 and Corresponding Published Journal Articles: A Systematic Review. JAMA Netw Open 2023; 6:e2253301. [PMID: 36705921 DOI: 10.1001/jamanetworkopen.2022.53301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
IMPORTANCE Randomized clinical trials (RCTs) on COVID-19 are increasingly being posted as preprints before publication in a scientific, peer-reviewed journal. OBJECTIVE To assess time to journal publication for COVID-19 RCT preprints and to compare differences between pairs of preprints and corresponding journal articles. EVIDENCE REVIEW This systematic review used a meta-epidemiologic approach to conduct a literature search using the World Health Organization COVID-19 database and Embase to identify preprints published between January 1 and December 31, 2021. This review included RCTs with human participants and research questions regarding the treatment or prevention of COVID-19. For each preprint, a literature search was done to locate the corresponding journal article. Two independent reviewers read the full text, extracted data, and assessed risk of bias using the Cochrane Risk of Bias 2 tool. Time to publication was analyzed using a Cox proportional hazards regression model. Differences between preprint and journal article pairs in terms of outcomes, analyses, results, or conclusions were described. Statistical analysis was performed on October 17, 2022. FINDINGS This study included 152 preprints. As of October 1, 2022, 119 of 152 preprints (78.3%) had been published in journals. The median time to publication was 186 days (range, 17-407 days). In a multivariable model, larger sample size and low risk of bias were associated with journal publication. With a sample size of less than 200 as the reference, sample sizes of 201 to 1000 and greater than 1000 had hazard ratios (HRs) of 1.23 (95% CI, 0.80-1.91) and 2.19 (95% CI, 1.36-3.53) for publication, respectively. With high risk of bias as the reference, medium-risk articles with some concerns for bias had an HR of 1.77 (95% CI, 1.02-3.09); those with a low risk of bias had an HR of 3.01 (95% CI, 1.71-5.30). Of the 119 published preprints, there were differences in terms of outcomes, analyses, results, or conclusions in 65 studies (54.6%). The main conclusion in the preprint contradicted the conclusion in the journal article for 2 studies (1.7%). CONCLUSIONS AND RELEVANCE These findings suggest that there is a substantial time lag from preprint posting to journal publication. Preprints with smaller sample sizes and high risk of bias were less likely to be published. Finally, although differences in terms of outcomes, analyses, results, or conclusions were observed for preprint and journal article pairs in most studies, the main conclusion remained consistent for the majority of studies.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Yunbo Jiang
- Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - David L Nguyen
- Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Kevin Guo
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Frank Wang
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Cindy Zhang
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Kyle Sayeau
- Mental Health and Addictions Care Program, Kingston Health Sciences Centre, Kingston, Ontario, Canada
| | - Akhil Garg
- Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Mark Loeb
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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Abstract
OBJECTIVES To quantify the prognostic effects of demographic and modifiable factors in streptococcal toxic shock syndrome (STSS). DESIGN Systematic review and meta-analysis. DATA SOURCES MEDLINE, EMBASE and CINAHL from inception to 19 September 2022, along with citations of included studies. ELIGIBILITY CRITERIA Pairs of reviewers independently screened potentially eligible studies of patients with Group A Streptococcus-induced STSS that quantified the association between at least one prognostic factor and outcome of interest. DATA EXTRACTION AND SYNTHESIS We performed random-effects meta-analysis after duplicate data extraction and risk of bias assessments. We rated the certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluation approach. RESULTS One randomised trial and 40 observational studies were eligible (n=1918 patients). We found a statistically significant association between clindamycin treatment and mortality (n=144; OR 0.14, 95% CI 0.06 to 0.37), but the certainty of evidence was low. Within clindamycin-treated STSS patients, we found a statistically significant association between intravenous Ig treatment and mortality (n=188; OR 0.34, 95% CI 0.15 to 0.75), but the certainty of evidence was also low. The odds of mortality may increase in patients ≥65 years when compared with patients 18-64 years (n=396; OR 2.37, 95% CI 1.47 to 3.84), but the certainty of evidence was low. We are uncertain whether non-steroidal anti-inflammatory drugs increase the odds of mortality (n=50; OR 4.14, 95% CI 1.13 to 15.14; very low certainty). Results failed to show a significant association between any other prognostic factor and outcome combination (very low to low certainty evidence) and no studies quantified the association between a prognostic factor and morbidity post-infection in STSS survivors. CONCLUSIONS Treatment with clindamycin and within clindamycin-treated patients, IVIG, was each significantly associated with mortality, but the certainty of evidence was low. Future research should focus on morbidity post-infection in STSS survivors. PROSPERO REGISTRATION NUMBER CRD42020166961.
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Affiliation(s)
- Jessica J Bartoszko
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Zeyad Elias
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Paulina Rudziak
- Department of Biology, Western University, London, Ontario, Canada
| | - Carson K L Lo
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Departments of Anesthesia and Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Dominik Mertz
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mark Loeb
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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Bai AD, Lo CKL, Komorowski AS, Suresh M, Guo K, Garg A, Tandon P, Senecal J, Del Corpo O, Stefanova I, Fogarty C, Butler-Laporte G, McDonald EG, Cheng MP, Morris AM, Loeb M, Lee TC. What Is the Optimal Follow-up Length for Mortality in Staphylococcus aureus Bacteremia? Observations From a Systematic Review of Attributable Mortality. Open Forum Infect Dis 2022; 9:ofac096. [PMID: 35415199 PMCID: PMC8995072 DOI: 10.1093/ofid/ofac096] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/19/2022] [Indexed: 11/14/2022] Open
Abstract
Background Deaths following Staphylococcus aureus bacteremia (SAB) may be related or unrelated to the infection. In SAB therapeutics research, the length of follow-up should be optimized to capture most attributable deaths and minimize nonattributable deaths. We performed a secondary analysis of a systematic review to describe attributable mortality in SAB over time. Methods We systematically searched Medline, Embase, and Cochrane Database of Systematic Reviews from 1 January 1991 to 7 May 2021 for human observational studies of SAB. To be included in this secondary analysis, the study must have reported attributable mortality. Two reviewers extracted study data and assessed risk of bias independently. Pooling of study estimates was not performed due to heterogeneity in the definition of attributable deaths. Results Twenty-four observational cohort studies were included. The median proportion of all-cause deaths that were attributable to SAB was 77% (interquartile range [IQR], 72%–89%) at 1 month and 62% (IQR, 58%–75%) at 3 months. At 1 year, this proportion was 57% in 1 study. In 2 studies that described the rate of increase in mortality over time, 2-week follow-up captured 68 of 79 (86%) and 48 of 57 (84%) attributable deaths that occurred by 3 months. By comparison, 1-month follow-up captured 54 of 57 (95%) and 56 of 60 (93%) attributable deaths that occurred by 3 months in 2 studies. Conclusions The proportion of deaths that are attributable to SAB decreases as follow-up lengthens. Follow-up duration between 1 and 3 months seems optimal if evaluating processes of care that impact SAB mortality. Clinical Trials Registration PROSPERO CRD42021253891.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen’s University, Kingston, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Adam S Komorowski
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mallika Suresh
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Kevin Guo
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Akhil Garg
- Department of Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Pranav Tandon
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Julien Senecal
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | - Olivier Del Corpo
- Department of Medicine, Division of Experimental Medicine, Division of Infectious Diseases, McGill University, Montreal, Quebec, Canada
| | - Isabella Stefanova
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Clare Fogarty
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Emily G McDonald
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Matthew P Cheng
- Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Andrew M Morris
- Division of Infectious Diseases, Department of Medicine, Sinai Health, University Health Network, and the University of Toronto, Toronto, Ontario, Canada
| | - Mark Loeb
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Todd C Lee
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
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8
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Bai AD, Lo CKL, Komorowski AS, Suresh M, Guo K, Garg A, Tandon P, Senecal J, Del Corpo O, Stefanova I, Fogarty C, Butler-Laporte G, McDonald EG, Cheng MP, Morris AM, Loeb M, Lee TC. How generalizable are randomized controlled trials (RCTs) in Staphylococcus aureus bacteremia? A description of the mortality gap between RCTs and observational studies. Clin Infect Dis 2022; 75:1449-1452. [PMID: 35243486 DOI: 10.1093/cid/ciac177] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Indexed: 12/25/2022] Open
Abstract
In Staphylococcus aureus bacteremia, mortality rates in randomized controlled trials (RCTs) are consistently lower than observational studies. Stringent eligibility criteria and omission of early deaths in RCTs contribute to this mortality gap. Clinicians should acknowledge the possibility of a lower treatment effect when applying RCT results to bedside care.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Ontario, Canada.,Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster, University, Hamilton, Ontario, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Adam S Komorowski
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster, University, Hamilton, Ontario, Canada.,Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mallika Suresh
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Kevin Guo
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Akhil Garg
- Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Pranav Tandon
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Julien Senecal
- Faculty of Medicine and Health Sciences, McGill University, Montréal, Quebec, Canada
| | - Olivier Del Corpo
- Department of Medicine, Division of Experimental Medicine, Division of Infectious Diseases, McGill University, Montréal, QC, Canada
| | - Isabella Stefanova
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Clare Fogarty
- McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Emily G McDonald
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Matthew P Cheng
- Division of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montréal, Quebec, Canada
| | - Andrew M Morris
- Division of Infectious Diseases, Department of Medicine, Sinai Health, University Health Network, and the University of Toronto, Toronto, Canada
| | - Mark Loeb
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster, University, Hamilton, Ontario, Canada.,Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,Division of Medical Microbiology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Todd C Lee
- Clinical Practice Assessment Unit, Department of Medicine, McGill University, Montreal, Quebec, Canada
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9
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Affiliation(s)
- Adam S Komorowski
- Division of Medical Microbiology (Komorowski), Department of Pathology and Molecular Medicine; Clinician-Investigator Program (Komorowski); Division of Infectious Diseases (Lo, Irfan, Singhal), Department of Medicine, McMaster University, Hamilton, Ont.
| | - Carson K L Lo
- Division of Medical Microbiology (Komorowski), Department of Pathology and Molecular Medicine; Clinician-Investigator Program (Komorowski); Division of Infectious Diseases (Lo, Irfan, Singhal), Department of Medicine, McMaster University, Hamilton, Ont
| | - Neal Irfan
- Division of Medical Microbiology (Komorowski), Department of Pathology and Molecular Medicine; Clinician-Investigator Program (Komorowski); Division of Infectious Diseases (Lo, Irfan, Singhal), Department of Medicine, McMaster University, Hamilton, Ont
| | - Nishma Singhal
- Division of Medical Microbiology (Komorowski), Department of Pathology and Molecular Medicine; Clinician-Investigator Program (Komorowski); Division of Infectious Diseases (Lo, Irfan, Singhal), Department of Medicine, McMaster University, Hamilton, Ont
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10
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Abstract
WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group; Shankar-Hari M, Vale CL, Godolphin PJ, et al. Association between administration of IL-6 antagonists and mortality among patients hospitalized for COVID-19: a meta-analysis. JAMA. 2021;326:499-518. 34228774.
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Affiliation(s)
- Carson K L Lo
- McMaster University, Hamilton, Ontario, Canada (C.K.L., Z.C.)
| | - Zain Chagla
- McMaster University, Hamilton, Ontario, Canada (C.K.L., Z.C.)
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11
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Bai AD, Komorowski AS, Lo CKL, Tandon P, Li XX, Mokashi V, Cvetkovic A, Findlater A, Liang L, Tomlinson G, Loeb M, Mertz D. Confidence interval of risk difference by different statistical methods and its impact on the study conclusion in antibiotic non-inferiority trials. Trials 2021; 22:708. [PMID: 34656155 PMCID: PMC8520289 DOI: 10.1186/s13063-021-05686-8] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/05/2021] [Indexed: 11/17/2022] Open
Abstract
Background Numerous statistical methods can be used to calculate the confidence interval (CI) of risk differences. There is consensus in previous literature that the Wald method should be discouraged. We compared five statistical methods for estimating the CI of risk difference in terms of CI width and study conclusion in antibiotic non-inferiority trials. Methods In a secondary analysis of a systematic review, we included non-inferiority trials that compared different antibiotic regimens, reported risk differences for the primary outcome, and described the number of successes and/or failures as well as patients in each arm. For each study, we re-calculated the risk difference CI using the Wald, Agresti-Caffo, Newcombe, Miettinen-Nurminen, and skewness-corrected asymptotic score (SCAS) methods. The CIs by different statistical methods were compared in terms of CI width and conclusion on non-inferiority. A wider CI was considered to be more conservative. Results The analysis included 224 comparisons from 213 studies. The statistical method used to calculate CI was not reported in 134 (59.8%) cases. The median (interquartile range IQR) for CI width by Wald, Agresti-Caffo, Newcombe, Miettinen-Nurminen, and SCAS methods was 13.0% (10.8%, 17.4%), 13.3% (10.9%, 18.5%), 13.6% (11.1%, 18.9%), 13.6% (11.1% and 19.0%), and 13.4% (11.1%, 18.9%), respectively. In 216 comparisons that reported a non-inferiority margin, the conclusion on non-inferiority was the same across the five statistical methods in 211 (97.7%) cases. The differences in CI width were more in trials with a sample size of 100 or less in each group and treatment success rate above 90%. Of the 18 trials in this subgroup with a specified non-inferiority margin, non-inferiority was shown in 17 (94.4%), 16 (88.9%), 14 (77.8%), 14 (77.8%), and 15 (83.3%) cases based on CI by Wald, Agresti-Caffo, Newcombe, Miettinen-Nurminen, and SCAS methods, respectively. Conclusions The statistical method used to calculate CI was not reported in the majority of antibiotic non-inferiority trials. Different statistical methods for CI resulted in different conclusions on non-inferiority in 2.3% cases. The differences in CI widths were highest in trials with a sample size of 100 or less in each group and a treatment success rate above 90%. Trial registration PROSPERO CRD42020165040. April 28, 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-021-05686-8.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Queen's University, Kingston, ON, Canada. .,Health Research Methodology Program, McMaster University, Hamilton, ON, Canada.
| | - Adam S Komorowski
- Health Research Methodology Program, McMaster University, Hamilton, ON, Canada.,Division of Medical Microbiology, McMaster University, Hamilton, ON, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Pranav Tandon
- Global Health Office, McMaster University, Hamilton, ON, Canada
| | - Xena X Li
- Division of Medical Microbiology, McMaster University, Hamilton, ON, Canada.,Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Vaibhav Mokashi
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Anna Cvetkovic
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Aidan Findlater
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Laurel Liang
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - George Tomlinson
- Department of Medicine, University Health Network and Mount Sinai Hospital, Toronto, ON, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Mark Loeb
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Dominik Mertz
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
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12
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Lo CKL, Chen L, Varma S, Wood GCA, Grant J, Wilson EW. Management of Mycobacterium tuberculosis Prosthetic Joint Infection: 2 Cases and Literature Review. Open Forum Infect Dis 2021; 8:ofab451. [PMID: 34631919 PMCID: PMC8496762 DOI: 10.1093/ofid/ofab451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/31/2021] [Indexed: 12/22/2022] Open
Abstract
Prosthetic joint infection caused by Mycobacterium tuberculosis (TBPJI) is uncommon but can be encountered in immunocompromised patients or those from tuberculosis-endemic regions. A lack of clinical suspicion and experience with TBPJI often leads to a delay in diagnosis. We report 2 cases of TBPJI in a Hungarian-Canadian and Iranian-Canadian immigrant, respectively. Both were treated with concurrent surgical and medical therapy. We also performed a literature review on TBPJI case reports, outlining their diagnosis and management.
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Affiliation(s)
- Carson K L Lo
- Division of Infectious Diseases, McMaster University, Hamilton, Ontario, Canada
| | - Lina Chen
- Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sonal Varma
- Department of Pathology and Molecular Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Gavin C A Wood
- Department of Surgery (Orthopedics), Queen’s University, Kingston, Ontario, Canada
| | - Jennifer Grant
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Division of Infectious Diseases, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Evan W Wilson
- Division of Infectious Diseases, Queen’s University, Kingston, Ontario, Canada
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13
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Bai AD, Komorowski AS, Lo CKL, Tandon P, Li XX, Mokashi V, Cvetkovic A, Findlater A, Liang L, Tomlinson G, Loeb M, Mertz D. Intention-to-treat analysis may be more conservative than per protocol analysis in antibiotic non-inferiority trials: a systematic review. BMC Med Res Methodol 2021; 21:75. [PMID: 33874894 PMCID: PMC8054385 DOI: 10.1186/s12874-021-01260-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 03/26/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND In non-inferiority trials, there is a concern that intention-to-treat (ITT) analysis, by including participants who did not receive the planned interventions, may bias towards making the treatment and control arms look similar and lead to mistaken claims of non-inferiority. In contrast, per protocol (PP) analysis is viewed as less likely to make this mistake and therefore preferable in non-inferiority trials. In a systematic review of antibiotic non-inferiority trials, we compared ITT and PP analyses to determine which analysis was more conservative. METHODS In a secondary analysis of a systematic review, we included non-inferiority trials that compared different antibiotic regimens, used absolute risk reduction (ARR) as the main outcome and reported both ITT and PP analyses. All estimates and confidence intervals (CIs) were oriented so that a negative ARR favored the control arm, and a positive ARR favored the treatment arm. We compared ITT to PP analyses results. The more conservative analysis between ITT and PP analyses was defined as the one having a more negative lower CI limit. RESULTS The analysis included 164 comparisons from 154 studies. In terms of the ARR, ITT analysis yielded the more conservative point estimate and lower CI limit in 83 (50.6%) and 92 (56.1%) comparisons respectively. The lower CI limits in ITT analysis favored the control arm more than in PP analysis (median of - 7.5% vs. -6.9%, p = 0.0402). CIs were slightly wider in ITT analyses than in PP analyses (median of 13.3% vs. 12.4%, p < 0.0001). The median success rate was 89% (interquartile range IQR 82 to 93%) in the PP population and 44% (IQR 23 to 60%) in the patients who were included in the ITT population but excluded from the PP population (p < 0.0001). CONCLUSIONS Contrary to common belief, ITT analysis was more conservative than PP analysis in the majority of antibiotic non-inferiority trials. The lower treatment success rate in the ITT analysis led to a larger variance and wider CI, resulting in a more conservative lower CI limit. ITT analysis should be mandatory and considered as either the primary or co-primary analysis for non-inferiority trials. TRIAL REGISTRATION PROSPERO registration number CRD42020165040 .
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada.
- McMaster University Infectious Diseases Residency Program, JCC 3-71 at Juravinski Cancer Centre, 699 Concession St, Hamilton, ON, L8V 5C2, Canada.
| | - Adam S Komorowski
- Division of Medical Microbiology, McMaster, University, Hamilton, ON, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Pranav Tandon
- Global Health Office, McMaster University, Hamilton, ON, Canada
| | - Xena X Li
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
- Division of Medical Microbiology, McMaster, University, Hamilton, ON, Canada
| | - Vaibhav Mokashi
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Anna Cvetkovic
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Aidan Findlater
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Laurel Liang
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - George Tomlinson
- Department of Medicine, University Health Network and Mount Sinai Hospital, Toronto, ON, Canada
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Mark Loeb
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
| | - Dominik Mertz
- Division of Infectious Diseases, McMaster University, Hamilton, ON, Canada
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14
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Bai AD, Komorowski AS, Lo CKL, Tandon P, Li XX, Mokashi V, Cvetkovic A, Kay VR, Findlater A, Liang L, Loeb M, Mertz D. Methodological and reporting quality of non-inferiority randomized controlled trials comparing antibiotic therapies: a systematic review. Clin Infect Dis 2020; 73:e1696-e1705. [PMID: 32901800 DOI: 10.1093/cid/ciaa1353] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 09/04/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Antibiotic non-inferiority randomized controlled trials (RCTs) are used for approval of new antibiotics and making changes to antibiotic prescribing in clinical practice. We conducted a systematic review to assess the methodological and reporting quality of antibiotic non-inferiority RCTs. METHODS We searched MEDLINE, Embase, the Cochrane Database of Systematic Reviews and the FDA drug database from inception until Nov 22, 2019 for non-inferiority RCTs comparing different systemic antibiotic therapies. Comparisons between antibiotic types, doses, administration routes or durations were included. Methodological and reporting quality indicators were based on the CONSORT reporting guidelines. Two independent reviewers extracted the data. RESULTS The systematic review included 227 studies. Of these, 135 (59.5%) studies were supported by pharmaceutical industry. Only 83 (36.6%) studies provided a justification for the non-inferiority margin. Reporting of both intention-to-treat (ITT) and per-protocol (PP) analyses were done in 165 (72.7%) studies. The conclusion was misleading in 34 (15.0%) studies. The studies funded by pharmaceutical industry were less likely to be stopped early due to logistical reasons (3.0% vs. 19.1%, OR=0.13 95% CI 0.04-0.37) and to show inconclusive results (11.1% vs. 42.9%, OR=0.17 95% CI 0.08-0.33). The quality of studies decreased over time with respect to blinding, early stopping, reporting of ITT with PP analysis and having misleading conclusions. CONCLUSIONS There is room for improvement in the methodology and reporting of antibiotic non-inferiority trials. Quality can be improved across the entire spectrum from investigators, funding agencies, as well as during the peer-review process.
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Affiliation(s)
- Anthony D Bai
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Adam S Komorowski
- Division of Medial Microbiology, McMaster, University, Hamilton, ON, Canada
| | - Carson K L Lo
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Pranav Tandon
- Global Health Office, McMaster University, Hamilton ON, Canada
| | - Xena X Li
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada.,Division of Medial Microbiology, McMaster, University, Hamilton, ON, Canada
| | - Vaibhav Mokashi
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Anna Cvetkovic
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Vanessa R Kay
- Department of Obstetrics and Gynecology, McMaster University, Hamilton ON, Canada
| | - Aidan Findlater
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Laurel Liang
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto ON, Canada
| | - Mark Loeb
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Dominik Mertz
- Division of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, ON, Canada
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