Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials

Abstract Objectives Primary objective: To estimate the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days after randomization. Secondary objectives: To examine whether the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days a...

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Main Authors: Jonathan A. C. Sterne, Janet Diaz, Jesús Villar, Srinivas Murthy, Arthur S. Slutsky, Anders Perner, Peter Jüni, Derek C. Angus, Djillali Annane, Luciano Cesar Pontes Azevedo, Bin Du, Pierre-Francois Dequin, Anthony C. Gordon, Cameron Green, Julian P. T. Higgins, Peter Horby, Martin J. Landray, Giuseppe Lapadula, Amelie Le Gouge, Marie Leclerc, Jelena Savović, Bruno Tomazini, Balasubramanian Venkatesh, Steve Webb, John C. Marshall, for the WHO COVID-19 Clinical Management and Characterization Working Group
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Trials
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13063-020-04641-3
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author Jonathan A. C. Sterne
Janet Diaz
Jesús Villar
Srinivas Murthy
Arthur S. Slutsky
Anders Perner
Peter Jüni
Derek C. Angus
Djillali Annane
Luciano Cesar Pontes Azevedo
Bin Du
Pierre-Francois Dequin
Anthony C. Gordon
Cameron Green
Julian P. T. Higgins
Peter Horby
Martin J. Landray
Giuseppe Lapadula
Amelie Le Gouge
Marie Leclerc
Jelena Savović
Bruno Tomazini
Balasubramanian Venkatesh
Steve Webb
John C. Marshall
for the WHO COVID-19 Clinical Management and Characterization Working Group
spellingShingle Jonathan A. C. Sterne
Janet Diaz
Jesús Villar
Srinivas Murthy
Arthur S. Slutsky
Anders Perner
Peter Jüni
Derek C. Angus
Djillali Annane
Luciano Cesar Pontes Azevedo
Bin Du
Pierre-Francois Dequin
Anthony C. Gordon
Cameron Green
Julian P. T. Higgins
Peter Horby
Martin J. Landray
Giuseppe Lapadula
Amelie Le Gouge
Marie Leclerc
Jelena Savović
Bruno Tomazini
Balasubramanian Venkatesh
Steve Webb
John C. Marshall
for the WHO COVID-19 Clinical Management and Characterization Working Group
Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
Trials
COVID-19
Randomised controlled trial
Systematic Review
Corticosteroid
Dexamethasone
Hydrocortisone
author_facet Jonathan A. C. Sterne
Janet Diaz
Jesús Villar
Srinivas Murthy
Arthur S. Slutsky
Anders Perner
Peter Jüni
Derek C. Angus
Djillali Annane
Luciano Cesar Pontes Azevedo
Bin Du
Pierre-Francois Dequin
Anthony C. Gordon
Cameron Green
Julian P. T. Higgins
Peter Horby
Martin J. Landray
Giuseppe Lapadula
Amelie Le Gouge
Marie Leclerc
Jelena Savović
Bruno Tomazini
Balasubramanian Venkatesh
Steve Webb
John C. Marshall
for the WHO COVID-19 Clinical Management and Characterization Working Group
author_sort Jonathan A. C. Sterne
title Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
title_short Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
title_full Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
title_fullStr Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
title_full_unstemmed Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trials
title_sort corticosteroid therapy for critically ill patients with covid-19: a structured summary of a study protocol for a prospective meta-analysis of randomized trials
publisher BMC
series Trials
issn 1745-6215
publishDate 2020-08-01
description Abstract Objectives Primary objective: To estimate the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days after randomization. Secondary objectives: To examine whether the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days after randomization varies between subgroups related to treatment characteristics, disease severity at the time of randomization, patient characteristics, or risk of bias. To examine the effect of corticosteroids compared with usual care or placebo on serious adverse events. Study design Prospective meta-analysis of randomized controlled trials. Both placebo-controlled and open-label trials are eligible. Participants Hospitalised, critically ill patients with suspected or confirmed COVID-19. Intervention and comparator Intervention groups will have received therapeutic doses of a steroid (dexamethasone, hydrocortisone or methylprednisolone) with IV or oral administration immediately after randomization. The comparator groups will have received standard of care or usual care or placebo. Main outcome All-cause mortality up to 28 days after randomization. Search methods Systematic searching of clinicaltrials.gov , EudraCT, the WHO ISRCTN registry, and the Chinese clinical trials registry. Additionally, research and WHO networks will be asked for relevant trials. Risk of bias assessments These will be based on the Cochrane RoB 2 tool, and will use structured information provided by the trial investigators on a form designed for this prospective meta-analysis. Summary of findings We will use GRADE to assess the certainty of the evidence. Statistical analyses Trial investigators will provide data on the numbers of participants who did and did not experience each outcome according to intervention group, overall and in specified subgroups. We will conduct fixed-effect (primary analysis) and random-effects (Paule-Mandel estimate of heterogeneity and Hartung-Knapp adjustment) meta-analyses. We will quantify inconsistency in effects between trials using I2 statistics. Evidence for subgroup effects will be quantified by ratios of odds ratios comparing effects in the subgroups, and corresponding interaction p-values. Comparisons between subgroups defined by trial characteristics will be made using random-effects meta-regression. Comparisons between subgroups defined by patient characteristics will be made by estimating trial-specific ratios of odds ratios comparing intervention effects between subgroups then combining these using random-effects meta-analysis. Steroid interventions will be classified as high or low dose according to whether the dose is greater or less than or equal to 400 mg hydrocortisone per day or equivalent. We will use network meta-analysis methods to make comparisons between the effects of high and low dose steroid interventions (because one trial randomized participants to both low and high dose steroid arms). PROSPERO registration number CRD42020197242 Full protocol The full protocol for this prospective meta-analysis is attached as an additional file, accessible from the Trials website (Additional file 1). To expedite dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol for the systematic review.
topic COVID-19
Randomised controlled trial
Systematic Review
Corticosteroid
Dexamethasone
Hydrocortisone
url http://link.springer.com/article/10.1186/s13063-020-04641-3
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spelling doaj-8468dbad1627465c9b1759be0c9ac0d92020-11-25T03:43:33ZengBMCTrials1745-62152020-08-012111310.1186/s13063-020-04641-3Corticosteroid therapy for critically ill patients with COVID-19: A structured summary of a study protocol for a prospective meta-analysis of randomized trialsJonathan A. C. Sterne0Janet Diaz1Jesús Villar2Srinivas Murthy3Arthur S. Slutsky4Anders Perner5Peter Jüni6Derek C. Angus7Djillali Annane8Luciano Cesar Pontes Azevedo9Bin Du10Pierre-Francois Dequin11Anthony C. Gordon12Cameron Green13Julian P. T. Higgins14Peter Horby15Martin J. Landray16Giuseppe Lapadula17Amelie Le Gouge18Marie Leclerc19Jelena Savović20Bruno Tomazini21Balasubramanian Venkatesh22Steve Webb23John C. Marshall24for the WHO COVID-19 Clinical Management and Characterization Working GroupPopulation Health Sciences, Bristol Medical School, University of BristolClinical Unit, Health Emergencies Programme, World Health OrganizationResearch Unit, Hospital Universitario Dr. Negrin Las Palmas de Gran CanariaDepartment of Pediatrics, University of British ColumbiaApplied Health Research Centre, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Department of Medicine, University of TorontoDepartment of Intensive Care, RigshospitaletApplied Health Research Centre, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Department of Medicine, University of TorontoDepartment of Critical Care Medicine, University of Pittsburgh School of MedicineDepartment of Intensive Care, Raymond Poincaré Hospital (APHP), School of Medicine Simone Veil, University Paris Saclay –UVSQCritical Care and Emergency Medicine, Hospital Sirio LibanêsPeking Union Medical College HospitalMédecine Intensive - Réanimation, INSERM CIC1415, CHRU de ToursDivision of Anaesthetics, Pain Medicine & Intensive Care, Imperial College LondonAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash UniversityPopulation Health Sciences, Bristol Medical School, University of BristolNuffield Department of Medicine, University of OxfordNuffield Department of Population Health, University of OxfordDivision of Infectious Diseases, San Gerardo Hospital, ASST MonzaCIC INSERM 1415 - CHRU de Tours, Hôpital BretonneauDélégation à la Recherche Clinique et à l’Innovation, CHRU de ToursPopulation Health Sciences, Bristol Medical School, University of BristolCritical Care and Emergency Medicine, Hospital Sirio LibanêsGeorge Institute for Global Health, University of New South WalesAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash UniversityLi Ka Shing Knowledge Institute, St. Michael’s Hospital, University of TorontoAbstract Objectives Primary objective: To estimate the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days after randomization. Secondary objectives: To examine whether the effect of corticosteroids compared with usual care or placebo on mortality up to 28 days after randomization varies between subgroups related to treatment characteristics, disease severity at the time of randomization, patient characteristics, or risk of bias. To examine the effect of corticosteroids compared with usual care or placebo on serious adverse events. Study design Prospective meta-analysis of randomized controlled trials. Both placebo-controlled and open-label trials are eligible. Participants Hospitalised, critically ill patients with suspected or confirmed COVID-19. Intervention and comparator Intervention groups will have received therapeutic doses of a steroid (dexamethasone, hydrocortisone or methylprednisolone) with IV or oral administration immediately after randomization. The comparator groups will have received standard of care or usual care or placebo. Main outcome All-cause mortality up to 28 days after randomization. Search methods Systematic searching of clinicaltrials.gov , EudraCT, the WHO ISRCTN registry, and the Chinese clinical trials registry. Additionally, research and WHO networks will be asked for relevant trials. Risk of bias assessments These will be based on the Cochrane RoB 2 tool, and will use structured information provided by the trial investigators on a form designed for this prospective meta-analysis. Summary of findings We will use GRADE to assess the certainty of the evidence. Statistical analyses Trial investigators will provide data on the numbers of participants who did and did not experience each outcome according to intervention group, overall and in specified subgroups. We will conduct fixed-effect (primary analysis) and random-effects (Paule-Mandel estimate of heterogeneity and Hartung-Knapp adjustment) meta-analyses. We will quantify inconsistency in effects between trials using I2 statistics. Evidence for subgroup effects will be quantified by ratios of odds ratios comparing effects in the subgroups, and corresponding interaction p-values. Comparisons between subgroups defined by trial characteristics will be made using random-effects meta-regression. Comparisons between subgroups defined by patient characteristics will be made by estimating trial-specific ratios of odds ratios comparing intervention effects between subgroups then combining these using random-effects meta-analysis. Steroid interventions will be classified as high or low dose according to whether the dose is greater or less than or equal to 400 mg hydrocortisone per day or equivalent. We will use network meta-analysis methods to make comparisons between the effects of high and low dose steroid interventions (because one trial randomized participants to both low and high dose steroid arms). PROSPERO registration number CRD42020197242 Full protocol The full protocol for this prospective meta-analysis is attached as an additional file, accessible from the Trials website (Additional file 1). To expedite dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol for the systematic review.http://link.springer.com/article/10.1186/s13063-020-04641-3COVID-19Randomised controlled trialSystematic ReviewCorticosteroidDexamethasoneHydrocortisone