Marco Confalonieri1, Francesco Salton2, Paola Confalonieri2, Bram Rochwerg3, G Umberto Meduri4. 1. Pulmonology Department, University Hospital of Cattinara, and the Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy. Electronic address: mconfalonieri@units.it. 2. Pulmonology Department, University Hospital of Cattinara, and the Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy. 3. Department of Medicine, Division of Critical Care, McMaster University, Hamilton, ON, Canada. 4. Departments of Medicine, Pulmonary, Critical Care, and Sleep Medicine Service, Memphis Veterans Affairs Medical Center, Memphis, TN.
To the Editor:Meta-analyses have the advantage of providing a summary effect estimate when there are a number of methodologically homogenous studies that examine the same intervention in the same study populations. Forty-five days after the publication of the Recovery trial, a meta-analysis of eight randomized trials (7,184 participants) was published, and a corresponding WHO guideline panel subsequently recommended systemic corticosteroids in patients with severe and critical COVID-19 (strong recommendation, based on moderate certainty evidence).In contrast, the systematic review and metanalysis published in CHEST (March 2021) by Cano et al includes only one randomized controlled trial and 72 observational studies, analyzed together, with a search end date of July 22, 2020. Of the observational studies, only four reported outcomes of propensity score-matched populations. Even with adjustment or propensity-matching, observational studies are subjected to residual cofounding (imbalances in baseline characteristics and post-baseline time-dependent patient differences that influence the decision to prescribe corticosteroids) and other sources of bias. Given this, the Cochrane handbook specifically discourages meta-analysts from pooling randomized controlled trials and observational studies together given, the method heterogeneity. Based on their analysis, the authors of this review concluded that “the potential role for corticosteroids as an immunomodulatory agent in COVID-19 needs to be explored further in clinical trials.”The authors also combined studies without a predefined treatment protocol with preregistered trials that used an established and explicit corticosteroid protocol. Unsurprisingly, Cano et al were unable to generate conclusions around optimal dosing, indication, and timing of corticosteroids across studies.Nevertheless, despite the limitations in their analysis, we agree with Cano et al that there is a need for further studies that will examine corticosteroids in COVID-19. Specifically, more data are needed that evaluate the impact of type of corticosteroid, timing of initiation, dose, mode of administration, duration, and dose tapering on patient-important outcomes. Further exploration of laboratory parameters of oxygenation and inflammation and how they may be incorporated into corticosteroid treatment protocols would also be important. The MEDEAS trial (Methylprednisolone vs. Dexamethasone in COVID-19 Pneumonia trial, ClinicalTrials.gov Identifier: NCT04636671) will address this issue by comparing the RECOVERY randomized controlled trial protocol to a protocol similar to the one investigated in an Italian prospective observational study.
Authors: Jonathan A C Sterne; Srinivas Murthy; Janet V Diaz; Arthur S Slutsky; Jesús Villar; Derek C Angus; Djillali Annane; Luciano Cesar Pontes Azevedo; Otavio Berwanger; Alexandre B Cavalcanti; Pierre-Francois Dequin; Bin Du; Jonathan Emberson; David Fisher; Bruno Giraudeau; Anthony C Gordon; Anders Granholm; Cameron Green; Richard Haynes; Nicholas Heming; Julian P T Higgins; Peter Horby; Peter Jüni; Martin J Landray; Amelie Le Gouge; Marie Leclerc; Wei Shen Lim; Flávia R Machado; Colin McArthur; Ferhat Meziani; Morten Hylander Møller; Anders Perner; Marie Warrer Petersen; Jelena Savovic; Bruno Tomazini; Viviane C Veiga; Steve Webb; John C Marshall Journal: JAMA Date: 2020-10-06 Impact factor: 56.272
Authors: Arnav Agarwal; Bram Rochwerg; François Lamontagne; Reed Ac Siemieniuk; Thomas Agoritsas; Lisa Askie; Lyubov Lytvyn; Yee-Sin Leo; Helen Macdonald; Linan Zeng; Wagdy Amin; André Ricardo Araujo da Silva; Diptesh Aryal; Fabian AJ Barragan; Frederique Jacquerioz Bausch; Erlina Burhan; Carolyn S Calfee; Maurizio Cecconi; Binila Chacko; Duncan Chanda; Vu Quoc Dat; An De Sutter; Bin Du; Stephen Freedman; Heike Geduld; Patrick Gee; Matthias Gotte; Nerina Harley; Madiha Hashimi; Beverly Hunt; Fyezah Jehan; Sushil K Kabra; Seema Kanda; Yae-Jean Kim; Niranjan Kissoon; Sanjeev Krishna; Krutika Kuppalli; Arthur Kwizera; Marta Lado Castro-Rial; Thiago Lisboa; Rakesh Lodha; Imelda Mahaka; Hela Manai; Marc Mendelson; Giovanni Battista Migliori; Greta Mino; Emmanuel Nsutebu; Jacobus Preller; Natalia Pshenichnaya; Nida Qadir; Pryanka Relan; Saniya Sabzwari; Rohit Sarin; Manu Shankar-Hari; Michael Sharland; Yinzhong Shen; Shalini Sri Ranganathan; Joao P Souza; Miriam Stegemann; Ronald Swanstrom; Sebastian Ugarte; Tim Uyeki; Sridhar Venkatapuram; Dubula Vuyiseka; Ananda Wijewickrama; Lien Tran; Dena Zeraatkar; Jessica J Bartoszko; Long Ge; Romina Brignardello-Petersen; Andrew Owen; Gordon Guyatt; Janet Diaz; Leticia Kawano-Dourado; Michael Jacobs; Per Olav Vandvik Journal: BMJ Date: 2020-09-04
Authors: Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray Journal: N Engl J Med Date: 2020-07-17 Impact factor: 91.245
Authors: Gianfranco Umberto Meduri; Djillali Annane; Marco Confalonieri; George P Chrousos; Bram Rochwerg; Amanda Busby; Barbara Ruaro; Bernd Meibohm Journal: Intensive Care Med Date: 2020-11-04 Impact factor: 41.787