Literature DB >> 36029180

Efficacy of tocilizumab in the treatment of COVID-19: An umbrella review.

Mohammad Mahdi Rezaei Tolzali1, Maryam Noori2,3, Pourya Shokri1, Shayan Rahmani4,5, Shokoufeh Khanzadeh6, Seyed Aria Nejadghaderi1,7, Asra Fazlollahi6, Mark J M Sullman8,9, Kuljit Singh10, Ali-Asghar Kolahi11, Shahnam Arshi11, Saeid Safiri12,13.   

Abstract

Tocilizumab is an interleukin (IL)-6 receptor inhibitor that has been proposed as a therapeutic agent for treating coronavirus disease 2019 (COVID-19). The aim of this umbrella review was to determine the efficacy of tocilizumab in treating COVID-19, and to provide an overview of all systematic reviews on this topic. We systematically searched PubMed, Scopus, the Web of Science collection, the Cochrane library, Epistemonikos, and Google Scholar, as well as the medRxiv preprint server. These databases were searched up to 30 September 2021, using the following keywords: 'SARS-CoV-2', 'COVID-19', 'tocilizumab', 'RHPM-1', 'systematic review', and 'meta-analysis'. Studies were included if they were systematic reviews (with or without meta-analysis) investigating the efficacy or safety of tocilizumab in confirmed COVID-19 patients. The AMSTAR 2 checklist was used to assess quality of the included articles, while publication bias was examined using Egger's test. A total of 50 eligible systematic reviews were included. The pooled estimates showed significant reductions in clinical failure (risk ratio (RR) 0.75; 95% confidence interval (CI), 0.61-0.93), deaths (RR 0.78; 95%CI, 0.71-0.85) and the need for mechanical ventilation (RR 0.77; 95%CI, 0.64-0.92) for those receiving tocilizumab compared with the control group. Also, an emerging survival benefit was demonstrated for those who received tocilizumab, over those in the control group (adjusted hazard ratio (aHR) 0.52; 95%CI, 0.43-0.63). In addition, tocilizumab substantially increased the number of ventilator-free days, compared with the control treatments (weighted mean difference (WMD) 3.38; 95%CI, 0.51-6.25). Furthermore, lymphocyte count (WMD 0.26 × 109 /L; 95%CI, 0.14-0.37), IL-6 (WMD 176.99 pg/mL; 95%CI, 76.34-277.64) and D-dimer (WMD 741.08 ng/mL; 95%CI, 109.42-1372.75) were all significantly elevated in those receiving tocilizumab. However, the level of lactate dehydrogenase (LDH) (WMD -30.88 U/L; 95%CI, -51.52, -10.24) and C-reactive protein (CRP) (WMD -104.83 mg/L; 95%CI, -133.21, -76.46) were both significantly lower after treatment with tocilizumab. Tocilizumab treatment reduced the risk of intubation, mortality and the length of hospital stay, without increasing the risk of superimposed infections in COVID-19 patients. Therefore, tocilizumab can be considered an effective therapeutic agent for treating patients with COVID-19.
© 2022 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; efficacy; interleukin 6; tocilizumab; umbrella review

Year:  2022        PMID: 36029180      PMCID: PMC9539231          DOI: 10.1002/rmv.2388

Source DB:  PubMed          Journal:  Rev Med Virol        ISSN: 1052-9276            Impact factor:   11.043


adjusted hazard ratio A Measurement Tool to Assess Systematic Reviews 2 chimaeric antigen receptor confidence interval coronavirus disease 2019 C‐reactive protein cytokine release syndrome intensive care unit interleukin interquartile range lactate dehydrogenase mean difference myeloma receptor antibody odds ratio randomized controlled trial risk ratio severe acute respiratory syndrome coronavirus 2 standard deviation white blood cell weighted mean difference

INTRODUCTION

In late 2019, a pandemic of novel viral pneumonia occurred in China, which was later named coronavirus disease 2019 (COVID‐19). The alarming progression of the disease, and the severity of its clinical manifestations, motivated many researchers to try to develop vaccines and therapeutic approaches for controlling or treating this disease. Several serology analyses have shown that patients with severe COVID‐19 manifest higher serum Interleukin (IL)‐6 levels, in comparison with those with milder forms of the disease, suggesting that elevated levels of IL‐6 might be associated with greater disease severity and worse outcomes. , , This hypothesis raised hopes that IL‐6 receptor inhibitors would be effective in treating COVID‐19. Tocilizumab, also known as myeloma receptor antibody (MRA), is a recombinant humanised antibody of the IgG1 subclass that acts as an IL‐6 receptor inhibitor. Its main use is for the treatment of autoimmune disorders, such as rheumatoid arthritis and systemic juvenile idiopathic arthritis. , Tocilizumab has also been found to be effective in treating cytokine release syndrome (CRS), which is associated with some types of immunotherapy, such as chimaeric antigen receptor (CAR)‐T cell therapy. These observations form the basis for considering tocilizumab as a therapeutic agent for COVID‐19. There have been several systematic reviews and meta‐analyses which have investigated the efficacy of tocilizumab for treating COVID‐19, but they have reached different conclusions. For example, a living systematic review and meta‐analysis showed that tocilizumab had no effect on the risk of short‐term mortality. In contrast, another meta‐analysis revealed that all‐cause mortality was significantly lower in those receiving tocilizumab. Therefore, we conducted the present umbrella review in order to comprehensively evaluate all available evidence regarding the efficacy of tocilizumab in the treatment of COVID‐19.

METHOD

This umbrella review aimed to provide a comprehensive overview and to critically appraise the existing systematic reviews, which evaluated the efficacy and safety of tocilizumab treatment in patients with COVID‐19. Our primary outcome was to evaluate the occurrence of “clinical failure”, which was defined as requiring intubation, admission to an intensive care unit (ICU), or death. Also, we evaluated the overall death rate. The secondary outcomes included the need for mechanical ventilation, risk of ICU admission, hospital discharge rate, presence of a super‐infection, length of the hospital stay, length of the ICU stay, number of ventilator‐free days, and changes in laboratory parameters.

Systematic search

The following databases were searched up to 30 September 2021: PubMed, Scopus, Web of Science collection, Cochrane library, Epistemonikos, and medRxiv. In addition, the first 100 pages of the Google Scholar search engine were manually searched to identify additional eligible studies. There were no limitations or restrictions used in any of the search fields, such as language, date and study type. Furthermore, backward and forward citation searching of all included studies were performed to discover whether there were any additional relevant articles. The search strategy comprised a combination of the following keywords (SARS‐CoV‐2 OR COVID‐19) AND (tocilizumab OR RHPM‐1) AND (systematic review OR meta‐analysis). A detailed description of the search strategy used in each database is presented in Table S1.

Selection of meta‐analyses

All of the articles identified through the electronic and manual searches were exported to EndNote 20. After removing duplicates, two groups of authors independently screened the title and abstracts of the articles and excluded those that were irrelevant. In the next step, the same groups reviewed the full‐texts of the remaining papers, in accordance with the eligibility criteria. Any discrepancies between the two groups were resolved by consulting other authors. Studies were included if they were: (1) conducted on patients with confirmed COVID‐19, based on serological, molecular, or computed tomography (CT)‐scan techniques; (2) used tocilizumab as the intervention; (3) used a standard of care treatment or placebo for the control group; (4) reported at least one of the outcomes of interest (i.e. clinical failure, overall death, need for mechanical ventilation, risk of ICU admission, hospital discharge rate, super‐infection, length of the hospital stay, ICU stay, ventilator‐free days, and changes in laboratory parameters); and (5) conducted a systematic review, with or without a meta‐analysis. Studies were excluded if they were: (1) cross‐sectional, case‐control, cohort or clinical trials; (2) living systematic reviews and review articles that did not used a systematic approach (e.g. rapid or scoping reviews); (3) systematic reviews on preclinical or animal studies; and (4) investigated the effectiveness of tocilizumab combined with other IL‐6 inhibitor therapies. All eligible meta‐analyses were reviewed and the primary studies were identified. Individual primary studies were selected for the recalculation of the summary effect, based on the following criteria: (1) retrospective and prospective observational studies with a matched control group, in terms of disease severity (i.e. similar proportions of patients receiving respiratory support in both the experimental and control groups), (2) randomized controlled trials, or (3) single‐group studies which assessed the pattern of changes in laboratory measures before and after tocilizumab therapy.

Data extraction

Data extraction was conducted using previously designed Microsoft Office Excel forms. Two researchers independently obtained the following information from each included study: (1) basic information about the study, including the first author's name, year of publication and the journal; (2) search date and names of the databases searched, number of included studies, total number of participants, study designs of the included studies, tools used for assessing the risk of bias, age and sex of the included participants, general summary, and summary effect size (95% confidence interval (CI)) for each outcome. Disagreements were resolved by discussing or consulting a third author and all of the extracted data were double‐checked by other reviewers.

Methodological quality

Two authors independently assessed the risk of bias and the quality of the included articles using the “A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2)” checklist. This checklist consists of 16 items, of which seven are considered critical domains: protocol registration, adequacy of the literature search, justification for excluding individual studies, risk of bias from the individual studies being included, appropriateness of the meta‐analytical methods, consideration of the risk of bias when interpreting the results of the review, and assessment of the presence and likely impact of publication bias. The checklist does not create an overall score, but provides a total rating based on weaknesses detected in the critical domains. The overall confidence in the results of the review can be qualitatively rated as either “high” (no or one non‐critical weakness), “moderate” (more than one non‐critical weakness), “low” (one critical flaw, with or without non‐critical weaknesses), and “critically low” (more than one critical flaw, with or without non‐critical weaknesses). A third reviewer was consulted to resolve any discrepancies between the two authors.

Statistical analysis

The crude data, multivariable adjusted hazard ratios (aHRs) that controlled for any confounders, and their 95% CIs were extracted from all primary studies included in the selected meta‐analyses. Following this, we performed our own meta‐analysis using the DerSimonian and Laird random‐effects method. The binary outcomes were examined using summary risk ratios (RRs) and aHRs, while for continuous outcomes weighted mean differences (WMDs) and their corresponding 95% CIs were recalculated. Furthermore, whenever the continuous variables were reported as a median with a range or interquartile range (IQR), we converted them to a mean and standard deviation (SD) using the method proposed by Lue et al. and Wan et al. , When recalculating the summary effect sizes, primary studies were excluded if: (1) the retrospective and prospective observational studies had unmatched control groups, (2) they were not conducted in the general population, such as studies that recruited COVID‐19 patients with specific underlying disorders, or (3) they only reported unadjusted HRs. We excluded the aforementioned primary studies from the meta‐analyses and then reanalysed the effect sizes using the random‐effects model. This approach helped to ensure that the general population was targeted and that the risk of selection bias was minimised among the primary studies included. This is because tocilizumab was more likely to be given to those who presented with more severe forms of the disease, which may lead to a higher proportion of negative outcomes in the intervention group, relative to the controls. The between study heterogeneity was assessed for each meta‐analysis by estimating I 2 statistics and their 95% CIs, while publication bias was examined using Egger's test. All analyses were performed in STATA Statistical Software, version 17 (Stata Corporation, College Station, TX, USA). Statistical significance was defined as p‐value <0.05.

RESULTS

Literature search

The systematic search identified a total of 709 records, which came from PubMed (n = 94), Scopus (n = 279), the Web of Science collection (n = 80), the Cochrane library (n = 1), Epistemonikos (n = 139), and medRxiv (n = 116). Following the removal of 197 duplicate records, the remaining 512 studies were screened and 93 publications were selected for full text review. One article was not accessible and thus it was excluded. After evaluating the other 92 articles for eligibility, 42 were excluded for the following reasons: one study investigated tocilizumab combined with another IL‐6 inhibitor, two discussed therapies other than tocilizumab, , 37 were not systematic reviews, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and two were systematic reviews of preclinical or animal studies. , Finally, 50 articles met the eligibility criteria and were included in the present umbrella review , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , (Figure 1).
FIGURE 1

Study selection process

Study selection process

Characteristics of the studies included in the meta‐analysis

The 50 included studies were comprised of nine preprints and 41 published articles, which appeared in 37 different journals. They were all published in English and published in 2020 and 2021. Two studies did not report the search date, while in the remaining 48 comprehensive searches were performed from 1 December 2019 up to May 2021. Table 1 summarises the characteristics of the included studies.
TABLE 1

Characteristics of the systematic reviews included in the present umbrella review

Study identificationJournalSearch dateSearched databasesNumber of included studies/total number of participantsStudy design of included studiesTools for assessment of risk of biasAge of included participantsSex of included participants (the proportion of females)
Nugroho et al. 2021 74 F1000Research2 November 2020PubMed, Embase, Medline, and Cochrane26 studies/2112 in intervention group and 6160 in control groupCohort, case‐control, and RCTNOSA mean/median age from 29 to 77 in intervention group and from 21 to 73.5 in controlsNot reported
Aziz et al. 2020 62 Journal of Medical Virology1 January 2020 to 23 July 2020PubMed/MEDLINE, Embase, Lit‐COVID, WHO COVID, Cochrane, and Web of Science23 studies/6279 patients (1897 in tocilizumab + standard therapy group and 4382 in standard therapy alone)RCT and cohort studiesNOS, NCOS and ROBINS‐I62.2 ± 4.7 years in tocilizumab + standard therapy group and 64.8 ± 4.1 years in standard therapy group39.4% in tocilizumab + standard therapy group and 28.0% in standard therapy group
Conti et al. 2021 110 Journal of Personalised MedicineMay 2021PubMed, Scopus, Embase, Cochrane, WILEY, and ClinicalTrials.gov 47 studies/9640 patients (3085 in tocilizumab + standard therapy and 6355 patients in standard therapy alone)Observational studies and RCTNOSThe mean age of all participants was 64.44 ± 13.89 years (range 53–78 years)Not reported
Elangovan et al. 2020 66 Preprint1 August 2020PubMed, medRxiv and Scopus29 studies/684 patientsRCT, nRCT, and observational studies (cohort study and case series)RoB 2.0 and ROBINS‐I tools, NOSNot reportedNot reported
Gupta et al. 2021 111 Journal of Investigative Medicine19 April 2021Medline (PubMed), Embase, Google Scholar, and Cochrane6 studies/3013 patients (1651 in tocilizumab + standard therapy and 1362 patients in standard therapy alone)RCTRoB 2Not reportedNot reported
Hariyanto et al. 2020 112 Drug Research1 November 2020PubMed and Europe PMC38 studies/13,412 patients (4090 in tocilizumab group and 9322 in non‐tocilizumab group)RCT, nRCT, and observational studies (cohort study and case control)NOSAdult patients (at least 18 years old)Not reported
Klopfenstein et al. 2021 70 Infectious Diseases and Therapy27 April 2021Medline, the Cochrane Library, and Embase9 studies/6482 patients (3357 in tocilizumab group and 3125 in placebo group)RCTRoB 2.0Not reportedNot reported
Kyriakopoulos et al. 2021 113 Preprint31 March 2021MEDLINE, CENTRAL and medRxiv52 studies/27,004 patients (8048 in tocilizumab group and 18,956 in non‐tocilizumab group)RCT and observational studiesRoB 2.0 and ROBINS‐I toolsNot reportedNot reported
Podmore et al. 2021 63 PreprintJuly 2020 to 1 March 2021Embase and PubMed41 studies/Not reportedRCT and observational studiesROBINS‐I toolNot reportedNot reported
Wafa et al. 2021 114 PreprintJanuary 25 to 5 February 2021PubMed (MEDLINE), Science Direct, Cochrane Library, ProQuest and Springer10 studies/Not reportedRCTRoB 2.0Not reportedNot reported
Kotak et al. 2020 115 Cureus29 June 2020PubMed and Cochrane7 studies/766 patients (351 in the tocilizumab group and 414 in the control group)Observational studiesNOSNot reportedNot reported
Abdulrahman et al. 2021 116 Preprint3 January 2021PUBMED, EMBASE, and medRxiv9 studies/6326 patients (3272 in the tocilizumab group and 3054 in the control group)RCTRoB 2.0Adult patients (at least 18 years old)Not reported
Lan et al. 2020 72 International Journal of Antimicrobial Agents24 May 2020PubMed, Cochrane Library, Embase, medRxiv and bioRxiv.7 studies/592 patients (240 in the tocilizumab group and 352 in the control group)Observational studiesNOSAdult patients (at least 18 years old)Not reported
Rezaei et al. 2021 75 Expert Review of Clinical Immunology26 December 2020PubMed, Embase, CENTRAL, ClinicalTrials.gov, Scopus, and preprints73 studies (45 comparative studies and 28 single‐arm studies)/Not reportedComparative studies (RCT, case– control studies), single‐arm observational studiesRoB 2.0 and NOS63.14 ± 5.2 years36%
Chandrasekar et al. 2020 117 Journal of Medical Virology1 December 2019 to 11 May 2020.PubMed/MEDLINE, Embase, Cochrane Central, Google Scholar, MedRxiv29 studies/5207 patients 3624 patients in the intervention arm (mean age: 55.9 ± 8.4 years, 62% males) and 1583 patients (mean age: 52.5 ± 8.5 years, 60.7% males) in the control armRCT, prospective cohorts, retrospective cohorts, and case seriesRoB 2.055.9 ± 8.4 in intervention arm and 52.5 ± 8.5 in the control arm62% in intervention arm and 60.7% in the control arm
Rubio‐Rivas et al. 2021 118 The Journal of Human Pharmacology and Drug Therapy1 January 2020 to 13 April 2021PubMed/MEDLINE, and Scopus64 studies/20,616 patients (7668 in tocilizumab + standard therapy and 12,948 in standard therapy alone)RCT and observational studiesNOS and RoB 2.062.4 ±15.1 in tocilizumab group and not reported in control group31.2% in tocilizumab group and not reported in control group
Tleyjeh et al. 2021 12 Clinical Microbiology and Infection8 October 2020Ovid MEDLINE(R) and Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations and Daily, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, Web of Science, Scopus up, preprint servers and Google24 studies (five RCTs and 19 cohorts)/1325 patients in RCTs and 9850 in cohorts (detailed number of patients in intervention and control group was not reported)RCT and cohortRoB 2.0 and ROBINS‐I toolsNot reportedNot reported
Viswanatha et al. 2021 119 Clinical and Experimental Rheumatology1 January 2020 to 30 September 2020PubMed, Scopus, CENTRAL, and Google scholar24 studies/5686 patients (1841in tocilizumab + standard therapy and 3454 in standard therapy alone)Comparative studies (RCT, case– control studies)NOS, RoB 2.0Not reportedNot reported
Wei et al. 2021 79 Infectious Disease of Poverty20 March 2020PubMed, PMC, Scopus, Google Scholar, and Web of Science25 studies/10,201 patients (3135 in tocilizumab + standard therapy and 7066 in standard therapy alone)RCT and observational studiesRoB 2.0Not reportedNot reported
Zhao, J. et al. 2020 120 Critical Care25 July 2020PubMed, Embase, Medline, Cochrane, and CNKI10 studies/1675 patients (675 patients in tocilizumab + standard therapy, while 1000 in standard therapy alone)RCT and cohortNot reportedolder/elderly (mean/median age ≥52 years)Not reported
Berardicurti et al. 2020 121 Clinical and Experimental Rheumatology1 January 2020 to 21 July 2020MEDLINE, Cochrane Library, SCOPUS, and Web of Science22 studies/1520 tocilizumab‐treated patientsRCT and observational studiesNOS61 years (95% CI: 59–64)29%
Boregowda et al. 2020 122 Frontiers in MedicineDecember 2019 to 14 June 2020.PubMed, Embase, Cochrane library, Web of Science, and MedRxiv16 studies/3641 (1153 in tocilizumab + standard therapy and 2488 in standard therapy alone)RCT and observational studiesROBINS‐INot reported36% (38.3% in standard therapy group and 31.3% in tocilizumab group)
Campbell et al. 2021 123 Frontiers in Medicine1 January 2020 to 25 February 2021The global WHO database of Individual Case Safety Reports (ICSRs)/adverse drug reactions (ADRs) (“VigiBase”), searching Medline, Embase, and Web of Science72 studies/Not reportedCohortRoB 2.0Not reportedNot reported
Chen et al. 2020 124 Leukemia1 January 2020 to 27 October 2020PubMed, Web of Science and Medline32 studies/11,487 patients (detailed number of patients in intervention and control group was not reported)RCT and observational studiesNOS, Jadad scaleNot reportedNot reported
Han et al. 2021 125 Frontiers in Pharmacology10 August 2020PubMed, EMBASE, ISI Web of Science, Cochrane library, ongoing clinical trial registries (clinicaltrials.gov), and preprint servers (medRxiv, ChinaXiv)33 studies/5630 patients (2132 in anti‐IL‐6 signalling (anti‐IL6/IL‐6 R/JAK) agents + standard therapy and 3498 in standard therapy alone)RCT, and observational studies (cohort study and case control)The MINORS index, NOS, RoB 2.0Not reportedNot reported
Kaye et al. 2021 94 PeerJ4 August 2020PubMed and SearchWorks34 studies (16 case‐control studies and 18 uncontrolled trials)/1008 in tocilizumab + standard therapy and 1537 in standard therapy alone)Case‐control studies and uncontrolled studiesNot reportedNot reported
Khan et al. 2021 126 Respiratory Infection7 January 2021MEDLINE, and EMBASE and ongoing clinical trial registries (clinicaltrials.gov and EU Clinical Trials Register)70 studies/20,972 patients (6563 in tocilizumab + standard therapy and 14,409 in standard therapy alone)RCT and observational studiesRoB 2.0Not reportedNot reported
Peng et al. 2021 100 Reviews in Medical Virology1 January 2020 to 20 December 2020PubMed, Embase Medline, Web of Science and MedRxiv29 studies/Sample size not reportedObservational studiesNot conductedNot reportedNot reported
Petrelli et al. 2021 127 World Journal of Methodology9 June 2020PubMed, EMBASE, SCOPUS, Web of Science, MedRxiv, Science Direct, and the Cochrane Library33 studies/13,476 patients (3264 in tocilizumab + standard therapy and 10,212 in standard therapy alone)RCT and observational studiesROBIN‐I, NOSMedian: 62Not reported
Pinzon et al. 2021 128 Journal of Infection and Public HealthNovember 2020PubMed and medRxiv16 studies/Not reportedRCT and observational studiesOCEBMNot reportedNot reported
Singh et al. 2020 129 Preprint4 June 2020PubMed, The Cochrane Central Register of Controlled Trials, preprint server (medRxiv) and international clinical trial register (clinicaltrials.gov)13 studies/2750 patients (819 in tocilizumab + standard therapy and 1931 in standard therapy alone)RCT, nRCT, and observational studiesROBIN‐I, RoB 2.0Not reportedNot reported
Zhao et al. 2021 130 European Journal of Clinical Pharmacology27 September 2020PubMed, Embase, Medline, and Cochrane19 studies/2493 patients (detailed number of patients in intervention and control group was not reported)Observational studiesNot conductedNot reportedNot reported
Alunno et al. 2021 82 Clinical Science11 December 2020MEDLINE, Embase, The Cochrane Database of Systematic Reviews, CENTRAL and CINAHL4 studies/Not reportedRCTRoB 2.0.Not reportedNot reported
Elsokary et al. 2020 131 Preprint26 August 2020ClinicalTrial.gov, ProQuest, PubMed, Embase, Cochrane, Google Scholar, Science direct, Chinese Clinical Trial Registry (ChiCTR), and medRxiv6 studies/1473 patients (472 in tocilizumab + standard therapy and 1001 in standard therapy alone)Cohort studiesROBIN‐INot reportedNot reported
Lin et al. 2021 85 International Immunopharmacology20 February 2021PubMed, Embase, Cochrane Library, Clinicaltrials.gov, WHO International Clinical Trials Registry Platform and the preprint server of medRxiv8 studies/6314 patients (3267 in tocilizumab + standard therapy and 3047 in placebo or standard therapy alone)RCTRoB 2.0.The mean or medium age ranged from 56 to 64 years40%
Mathew et al. 2020 132 Open access journal of biomedical scienceMay 25 to 16 June 2020PubMed and Google Scholar14 studies/Not reportedRCT, cohorts, case reports and case series.Not conductedNot reportedNot reported
Misra et al. 2020 86 European Journal of Clinical Investigation29 June 2020PubMed, EMBASE, Medline, Google Scholar, Cochrane library and clinicaltrials.gov 4 studies/806 patients (294 in tocilizumab + standard therapy group and 512 in standard therapy alone)RCT, nRCT, cohort and case‐control studiesRoB 2.0., NOSNot reportedNot reported
Ogiji et al. 2020 133 EAS Journal of Pharmacy and Pharmacology25 May 2020PubMed, Google Scholar, Scopus18 studies/Not reportedCohort and case‐control studies, case reports and case seriesJoanna Briggs Institute's critical appraisal checklistNot reportedNot reported
Putman et al. 2021 134 Arthritis & Rheumatology19 March 2020 and 7 May 2020Ovid Medline and E‐pub Ahead of Print, In‐Process & Other Non‐Indexed Citations, and Daily, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, Scopus, Web of Science, and ClinicalTrials.Gov 7 studies/339 patients (detailed number of patients in intervention and control group was not reported)Cohort and case seriesNOSNot reportedNot reported
Russell et al. 2020 89 EcancermedicalscienceNot reportedOvid MEDLINENot reportedNot reportedNot conductedNot reportedNot reported
Talaie et al. 2020 135 DARU Journal of Pharmaceutical Sciences1 July 2020PubMed, Embase, Scopus, Cochrane, and Scholar11 studies/Not reportedAll types of studiesRoB 2.0.,NOS, NIH Quality Assessment ToolNot reportedNot reported
Zhang et al. 2020 136 Frontiers in Public Health 19 December 2020WHO COVID‐19 Global Research Database, PubMed, PubMed Central, LitCovid, Proquest Central and OvidNot reportedRCTRoB 2.0.Not reportedNot reported
Antwi‐Amoabeng et al. 2020 137 Journal of Medical Virology27 April 2020PubMed, Embase, and Medline11 studies/29 patientsCase reports and case seriesROBIN‐I63 ±1217.2%
Chibber et al. 2020 138 European Journal of PharmacologyNot reportedGoogle Scholar, Embase, and PubMedNot reportedNot reportedNot conductedNot reportedNot reported
Kim et al. 2020 33 PLOS MEDICINEthe beginning of 2020 to 24 August 2020PubMed, Google Scholar, MEDLINE, the Cochrane Library, medRxiv, SSRN, WHO International Clinical Trials Registry Platform, and ClinicalTrials.gov 9 studies/Not reportedRCT and observational studiesRoB 2.0.Not reportedNot reported
Mahroum et al. 2021 107 International Journal of Environmental Research and Public Health20 July 2020PubMed, MEDLINE, Scopus, medRxiv and SSRN39 studies/15,531 patients (3657 in tocilizumab + standard therapy group and 11,874 in standard therapy alone)Case control, cohortNOSRanged from 55 to 76.8Not reported
Martinez‐Vizcaino et al. 2020 108 Preprint22 April 2020International Clinical Trials Registry Platform (WHO‐ICTRP)10 studies/2175 patientsRCTNot conductedNot reportedNot reported
POZO et al. 2020 139 European Review for Medical and Pharmacological Sciences18 April 2020PubMed, Web of Science, Scopus, and clinicaltrials.gov 13 studies/Not reportedRCT and observational studiesNot conductedNot reportedNot reported
Qayyumi et al. 2020 140 Cancer Research, Statistics, and Treatment23 May 2020PubMed, Embase, and Google ScholarOne study/21 patientsCase seriesNot conductedNot reportedNot reported
Zeraatkar et al. 2021 141 Preprint9 October 2020Medline Ovid, PubMed, PubMed Central, Embase, CAB Abstracts, Global Health, PsycInfo, Cochrane 138 Library, Scopus, Academic Search Complete, Africa Wide Information, CINAHL, ProQuest Central, SciFinder, the Virtual Health Library, LitCovid, WHO and CDC Covid‐19 website, Eurosurveillance, China CDC Weekly, Homeland Security Digital Library, ClinicalTrials.gov, bioRxiv, medRxiv, chemRxiv, and SSRN20 trials/7608 patientsRCTRoB 2.0.Ranged from 42.1 to 69.8Not reported

Abbreviations: CDC, Centres for Disease Control and Prevention; NOS, The Newcastle‐Ottawa scale; nRCT, non‐randomized controlled trials; RCT, Randomized controlled trials; RoB 2.0, Cochrane risk of bias tool for RCTs; ROBINS‐I, Risk of bias in nonrandomised studies of Interventions; WHO, World Health Organization.

Characteristics of the systematic reviews included in the present umbrella review Abbreviations: CDC, Centres for Disease Control and Prevention; NOS, The Newcastle‐Ottawa scale; nRCT, non‐randomized controlled trials; RCT, Randomized controlled trials; RoB 2.0, Cochrane risk of bias tool for RCTs; ROBINS‐I, Risk of bias in nonrandomised studies of Interventions; WHO, World Health Organization. A total of 70 primary studies were included in the published meta‐analyses, including 55 retrospective cohorts, 11 randomized control trials (RCTs), and four prospective cohorts. Thirty‐eight primary studies provided a matched control group and 37 studies reported the adjusted multivariate effect sizes. There were 24 studies conducted in the USA, 12 in Italy, 10 in Spain, and 24 in other countries.

Primary outcomes

Tocilizumab administration and risk of intubation, admission to ICU, or death

The first outcome was the combined outcome of either intubation, admission to ICU, or death, which was collectively called clinical failure. Ten publications, which were comprised of six retrospective studies, one prospective cohort study, and three clinical trials (n = 3318), were used for recalculating the summary aHR. The results of the pooled estimate showed that there was a significant 58% reduction in this composite outcome in the group receiving tocilizumab, relative to the control group (aHR 0.42; 95%CI, 0.30–0.59, I 2 = 61.0%). In a subgroup analysis, by study type, the risk of clinical failure was greatly reduced for the treatment group in retrospective cohort studies (aHR 0.31; 95%CI, 0.19–0.51, I 2 = 68.7%) and RCTs (aHR 0.62; 95%CI, 0.43–0.89, I 2 = 0.0%), but not for prospective cohorts (aHR 0.65; 95%CI, 0.23–1.83, I 2=NA) (Figure 2).
FIGURE 2

Forest plots of the pooled estimates for hazard ratios on the association between tocilizumab administration and risk of clinical failure (i.e. intubation, admission to ICU, or death) by study type. hazard ratio (HR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Forest plots of the pooled estimates for hazard ratios on the association between tocilizumab administration and risk of clinical failure (i.e. intubation, admission to ICU, or death) by study type. hazard ratio (HR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT) In order to recalculate the summary effect for clinical failure, in terms of RR, 5140 patients from ten studies (two retrospective cohorts and eight RCTs) were enroled. Participants who received tocilizumab had an overall significant 25% lower risk of clinical failure, as compared to their counterparts in the control group (RR 0.75; 95%CI, 0.61–0.93, I 2 = 44.1%). Furthermore, the advantage of tocilizumab administration in reducing the risk of clinical failure ranged from a 19% reduction in clinical trials (RR 0.81; 95%CI, 0.69–0.95, I 2 = 21.2%) to a 65% reduction in retrospective studies (RR 0.35; 95%CI, 0.13–0.99, I 2 = 49.6%) (Figure 3).
FIGURE 3

Forest plots of the summary effects for risk ratios on the association between tocilizumab administration and risk of clinical failure (i.e. intubation, admission to ICU, or death) by study type. risk ratio (RR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Forest plots of the summary effects for risk ratios on the association between tocilizumab administration and risk of clinical failure (i.e. intubation, admission to ICU, or death) by study type. risk ratio (RR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Tocilizumab administration and the overall risk of mortality

A total of 33 primary studies, consisting of 18,538 participants, reported aHRs for mortality. These studies were comprised of 30 retrospective studies and three RCTs. After recalculating the summary effect, an emerging survival benefit was demonstrated for those receiving tocilizumab over the control group (aHR 0.52; 95%CI, 0.43–0.63, I 2 = 74.0%). When the pooled estimates were stratified, based on the study design, the summary effects remained statistically significant, with a larger benefit being found in retrospective studies (aHR 0.50; 95%CI, 0.41–0.61, I 2 = 75.9%), relative to clinical trials (aHR 0.67; 95%CI, 0.53–0.86, I 2 = 0.3%) (Figure 4).
FIGURE 4

Forest plots of the pooled estimates for hazard ratios on the association between tocilizumab administration and risk of overall mortality by study type. hazard ratio (HR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Forest plots of the pooled estimates for hazard ratios on the association between tocilizumab administration and risk of overall mortality by study type. hazard ratio (HR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT) In the next step, the mortality RRs were reanalysed using 38 primary studies, which included data for 16,072 COVID‐19 patients. Twenty‐eight publications were retrospective observational studies, one was a prospective cohort, and nine were RCT. Tocilizumab administration resulted in substantially lower odds of death, when compared to the control group (RR 0.78; 95%CI, 0.71–0.85, I 2 = 40.8%). Analysing the results by study design, tocilizumab therapy was associated with a lower risk of mortality, compared to the control groups, in retrospective studies (27%), prospective studies (80%), and RCTs (11%). The differences were statistically significant for all types of study designs (RR 0.73; 95%CI, 0.66–0.81, I 2 = 29.9%; RR 0.20; 95%CI, 0.04–0.93, I 2=NA; and RR 0.89; 95%CI, 0.80–0.98, I 2 = 5.9%, respectively) (Figure 5).
FIGURE 5

Forest plots of the summary effects for risk ratios on the association between tocilizumab administration and risk of overall mortality by study type. risk ratio (RR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Forest plots of the summary effects for risk ratios on the association between tocilizumab administration and risk of overall mortality by study type. risk ratio (RR); confidence interval (CI); DerSimonian and Laird (DL); randomized controlled trial (RCT)

Secondary outcomes

Tocilizumab administration and the need for mechanical ventilation

Eight primary retrospective studies and seven RCTs, with a total population of 5792 COVID‐19 patients, were used to recalculate the RR for requiring mechanical ventilation. Patients who were given tocilizumab had a significantly lower risk of requiring mechanical ventilation, than those who were treated with the control group medications (RR 0.77; 95%CI, 0.64–0.92, I 2 = 44.9%). However, although the beneficial impact of tocilizumab was found in clinical trials (RR 0.79; 95%CI, 0.71–0.89, I 2 = 0.0%), this was not the case in retrospective studies (RR 0.72; 95%CI, 0.43–1.21, I 2 = 68.5%) (Figure S1).

Tocilizumab administration and the risk of ICU admission

The effect of tocilizumab on the probability of being admitted to ICU was examined in eight publications, which were comprised of three retrospective studies, one prospective cohort, and four RCTs (a total of 1052 COVID‐19 patients). Reanalysis of the summary effect revealed that tocilizumab did not reduce the overall risk of ICU admission (RR 0.85; 95%CI, 0.65–1.11, I 2 = 57.7%). Furthermore, the sub‐group analysis showed no reduced risk for retrospective cohorts, prospective cohorts or clinical trials (RR 0.77; 95%CI, 0.36–1.63, I 2 = 70.8%; RR 0.92; 95%CI 0.38–2.24, I 2=NA; and RR 0.79; 95%CI, 0.51–1.23, I 2 = 67.8%, respectively), in comparison to the control groups (Figure S2).

Tocilizumab administration and hospital discharge

The outcome of being discharged from hospital after receiving tocilizumab, in comparison with the control treatments, was assessed in 15 primary investigations (11 retrospective cohorts and four RCTs) that recruited a total of 7159 COVID‐19 patients. In general, administration of tocilizumab resulted in a significant higher rate of hospital discharge, relative to the control group (RR 1.12; 95%CI, 1.03–1.22, I 2 = 64.1%). Moreover, the subgroup analysis showed that although tocilizumab improved the chances of hospital discharge in patients enrolled in retrospective cohort studies (RR 1.23; 95%CI, 1.04–1.45, I 2 = 66.3%), no significant differences were found in RCTs (RR 1.07; 95%CI, 0.98–1.16, I 2 = 61.9%) (Figure S3).

Tocilizumab administration and the risk of superadded infection

The summary effect was recalculated for 23 studies (8684 patients), in order to estimate the impact of tocilizumab therapy on the risk of superadded infections. No significant association was found between the administration of tocilizumab and an elevated risk of secondary infection (RR 1.00; 95%CI, 0.80–1.26, I 2 = 77.1%). In both subgroups, which consisted of 16 retrospective cohorts and seven RCTs, there was no evidence that tocilizumab was related to a higher rate of co‐infections (RR 1.13; 95%CI, 0.86–1.48, I 2 = 80.4% and RR 0.75; 95%CI, 0.54–1.04, I 2 = 31.3%, respectively) (Figure S4).

Tocilizumab administration and the length of the hospital stay, ICU stay, and ventilator‐free days

The summary effects of the continuous outcomes were recalculated, in terms of the impact of tocilizumab therapy on the: length of hospital stay (10 studies), length of the ICU stay (five studies), and number of ventilator‐free days (six studies). The pooled estimation revealed that receiving tocilizumab increased the number of ventilator free days, compared to the control treatments (WMD 3.38; 95%CI, 0.51–6.25, I 2 = 75.8%). In contrast, no significant relationship was found between tocilizumab treatment and the length of the hospital or ICU stays (WMD −0.19; 95%CI, −3.34, 2.95; I 2 = 97.3% and WMD −0.49; 95%CI, −7.88, 6.91, I 2 = 97.6%, respectively) (Figure S5–S7).

Tocilizumab administration and the laboratory parameters

Data on the laboratory measures before and after tocilizumab therapy were available for the levels of: white blood cells (WBC), neutrophils, lymphocytes, IL‐6, lactate dehydrogenase (LDH), C‐reactive protein (CRP), D‐dimer, and ferritin. The time intervals between the baseline measurements and those after tocilizumab administration ranged from five to 14 days. Following the reanalysis of the summary effects, the level of lymphocytes (WMD 0.26 × 109/L; 95%CI, 0.14–0.37, I 2 = 45.1%), IL‐6 (WMD 176.99 pg/mL; 95%CI, 76.34–277.64, I 2 = 94.3%), and D‐dimer (WMD 741.08 ng/mL; 95%CI, 109.42–1372.75, I 2 = 75.8%) were significantly higher after administration of tocilizumab. In contrast, the levels of LDH (WMD −30.88 U/L; 95%CI, −51.52, −10.24, I 2 = 0.0%) and CRP (WMD −104.83 mg/L; 95%CI, −133.21, −76.46, I 2 = 91.3%) were significantly lower after tocilizumab administration (Figure S8–S15).

Publication bias

There was evidence of publication bias (Egger's p‐value <0.05) for the outcomes of mortality (p = 0.017), level of IL‐6 (p = 0.012), and level of CRP (p = 0.003). In contrast, publication bias was not found for: clinical failure (effect size of aHR, p = 0.368 and RR p = 0.129), mortality (effect size of RR p = 0.719), the need for mechanical ventilation (p = 0.439), ICU admission (p = 0.106), hospital discharge rate (p = 0.269), superadded infection (p = 0.192), length of hospital stay (p = 0.417), length of ICU stay (p = 0.128), length of ventilator‐free days (p = 0.758), WBC count (p = 0.461), neutrophil count (p = 0.648), lymphocyte count (p = 0.295), level of LDH (p = 0.950), level of ferritin (p = 0.481), and level of D‐dimer (p = 0.423).

Quality assessment

The results of the quality assessment showed that 29 (58%) were critically low, 12 (24%) were low, eight (1 were moderate, and 1 (2%) study was high quality. Among the critical domains, the most common problem was not taking into account the risk of bias when interpreting the results. Among the non‐critical domains, most studies did not report the source(s) of funding for their study (Table S2).

DISCUSSION

The present umbrella review found that tocilizumab administration significantly reduced the risk of requiring mechanical ventilation and dying in COVID‐19 patients. Moreover, tocilizumab significantly increased the likelihood of hospital discharge and a higher number of ventilator‐free days, without increasing the risk of super‐imposed infections. In terms of the effects of tocilizumab treatment on laboratory measures, it significantly increased lymphocytes, IL‐6 and D‐dimer, and decreased LDH and CRP levels. We found that tocilizumab treatment significantly decreased the risk of mortality by 48%. In addition, the risk of clinical failure, which was defined as a combination of intubation, ICU admission, or death, was 0.42 times lower in the tocilizumab group than among the controls. A systematic review of hospitalised COVID‐19 patients showed that remdesivir decreased the 14‐day mortality rate of COVID‐19 patients by 36%, but not the 28‐day mortality rate (RR = 1.14, 95%CI: 1.06, 1.22). Furthermore, treatment with favipiravir showed no significant difference from the control group, in terms of COVID‐19 mortality (RR 1.19; 95%CI, 0.85–1.66). Moreover, an umbrella review revealed that treating COVID‐19 patients with convalescent plasma significantly reduced the mortality rate, compared with the controls. Another umbrella review, on the efficacy of hydroxychloroquine or chloroquine in patients with COVID‐19, showed there was a lack of consistency in the clinical efficacy reported by the included articles. A network meta‐analysis on the efficacy of anti‐severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) antibodies for treating COVID‐19 revealed that bamlanivimab + etesevimab decreased mortality by 87% (95%CI, 0.02–0.77). The differences in the mortality outcomes between the numerous strategies for treating COVID‐19 could be due to differences in the inclusion criteria between the studies and features of the eligible populations, such as the prevalence of various underlying diseases and previous infection with SARS‐CoV‐2. However, comparing our results with the previously published studies shows that tocilizumab appears to be one of the most effective therapies for reducing COVID‐19 mortality. Tocilizumab reduced the need for mechanical ventilation by 23%, although it was not significantly associated with a reduced risk of ICU admission. In comparison, Deng et al. found no significant differences in the incidence of mechanical ventilation, ICU admission, and duration of ICU hospitalisation in COVID‐19 patients treated with anti‐SARS‐CoV‐2 antibodies (e.g., monoclonal antibodies and intravenous immunoglobulins) and those in the control group. Furthermore, research by Yu et al. found that sarilumab was not significantly associated with a reduced risk of invasive mechanical ventilation (RR 1.15; 95%CI, 0.38–3.51), whereas tocilizumab reduced the risk by 21% (RR 0.79; 95%CI, 0.71–0.88). The differences between the two may be due to the limited number of studies which have evaluated the effects of sarilumab, compared with tocilizumab, or the different mechanisms of action. Sarilumab blocks IL‐6 and IL‐6 receptors, but tocilizumab is only an IL‐6 receptor antagonist. A systematic review evaluating the effects of five pharmacologic interventions (i.e., anti‐inflammatory, antiviral, antiparasitic, antibody, and antibiotics) on the length of hospital stay showed that anti‐inflammatory (mean difference (MD) −1.41; 95%CI, −1.75, −1.07) and antiparasitic drugs (MD −0.65; 95%CI, −1.26, −0.03) significantly reduced the length of hospital stay. However, in the present study we did not find any significant differences between the tocilizumab and control groups, in terms of the length of hospital stay or ICU stay (p > 0.05). This discrepancy could be as a result of the different aims, methodologies, and therapies included in these two studies. Similar to our findings, in a review of 13 articles and 4770 patients, Ebrahimi Chaharom and colleagues showed that corticosteroids did not significantly reduce the duration of hospital stay (odds ratio (OR) 1.56; 95%CI, −0.29, 3.41). A network meta‐analysis on 196 trials, which included 76,767 participants and compared the efficacy of different COVID‐19 treatments, revealed that IL‐6 inhibitors significantly reduced the risk of mechanical ventilation (OR 0.72; 95%CI, 0.57–0.90) and also the length of hospital stay (MD −4.5; 95%CI, −6.7, −2.3), while no significant differences were found in the time to symptom resolution (MD −0.7; 95%CI, −2.7, 1.7) or the number of ventilator‐free days (MD 1.6; 95%CI, −0.2, 3.3). Similarly, we found a reduced risk of mechanical ventilation for those receiving tocilizumab (RR 0.77; 95%CI, 0.64–0.92), but in contrast we found a significant increase in the number of ventilator‐free days (WMD 3.38; 95%CI, 0.51–6.25). These inconsistencies could be explained by differences in the number of included studies and due to the inclusion of all types of IL‐6 inhibitors, compared with our study which only included tocilizumab. Moreover, the above‐mentioned study showed no significant difference in the occurrence of adverse events between IL‐6 inhibitors and the control group (MD −4.0; 95%CI, −9.0, 67.0), while our study also found no increased risk for superadded infection in those treated with tocilizumab (RR 1.00; 95%CI, 0.80–1.26). COVID‐19 has been associated with increased platelet levels and CRP, as well as decreased lymphocytes. Tocilizumab, which is also used to treat rheumatologic diseases like rheumatoid arthritis, has been found to reduce CRP and erythrocyte sedimentation levels. The results of a systematic review of 11 studies, including 29 patients, showed that IL‐6 and CRP levels were significantly higher and lower, respectively, after tocilizumab treatment (p = 0.002 for IL‐6 and p < 0.0001 for CRP). In addition, the results of another meta‐analysis showed that tocilizumab was associated with significant reductions in CRP (MD −106.69 mg/L; 95%CI, −146.90, −66.49), D‐dimer (MD −3.06 mg/L; 95%CI, −5.81, −0.31), ferritin (MD 532.80 ng/ml; 95%CI, −810.93, −254.67), and procalcitonin (MD −0.67 ng/ml; 95%CI, −1.13, −0.22), while significantly increasing lymphocyte counts (MD 360/μl; 95%CI, 0.18, 0.54). In accordance with previous findings, we also found a substantial increase in lymphocyte count, IL‐6 and D‐dimer level, as well as a decrease in CRP. The quality assessment of the studies included in our research, using AMSTAR 2, showed that most of the included studies had low and critically low quality. Similarly, an umbrella review which summarised the systematic reviews on the clinical presentations of COVID‐19, diagnostic tools, therapeutic modalities and laboratory and radiologic findings, reported that all of the articles included had critically low ratings, based on AMSTAR 2. Moreover, concordant findings were also made by studies reviewing the effectiveness of chloroquine, hydroxychloroquine and convalescent plasma for treating COVID‐19. , Perhaps one explanation of these somewhat surprizing findings is that early in the COVID‐19 pandemic, study quality was not adequately assessed during the peer‐review process. To best of our knowledge, this is the first umbrella review on the efficacy of tocilizumab for treating COVID‐19. This article consolidates the knowledge by providing a comprehensive summary of the most up‐to‐date evidence for one of the most promising options for treating COVID‐19. Nevertheless, this study has several limitations which should be considered when interpreting the results and/or using this information in clinical practice. Firstly, we used AMSTAR 2 to assess the quality of the included articles, but this approach has some limitations. For instance, due to the pressing need for scientific papers during the COVID‐19 crisis, several studies might not have reported some methodological details that are important for quality assessment. Secondly, several primary studies where included in more than one systematic review. We included all of these in our study, but the overlapping data were not included when calculating the pooled effect sizes. Thirdly, although we systematically searched the above‐mentioned databases and conducted an extensive search for grey literature, there is still a chance that some articles were missed. Fourthly, we conducted subgroup analysis only by study design. Past medical history, geographical region or disease severity, which are important prognostic factors for COVID‐19, were not included in the analysis. Fifthly, most of the studies did not report the number of participants by sex and age group, so we were not able to perform subgroup on the effects of tocilizumab administration by age and sex. Sixthly, we included preprints in the study. Since preprints have not yet been peer‐reviewed, this might lead to bias in the findings. Seventhly, some of the laboratory parameters, like creatinine kinase which can be used as a prognostic factor, were not included in the present study. Eighthly, the protocol of the study was not registered in PROSPERO, although it was submitted to the relevant university committee.

CONCLUSIONS

This umbrella review found that tocilizumab reduced the risk of intubation and mortality, lead to an earlier discharge from hospital and did not increase the risk of a super‐imposed infection. Therefore, tocilizumab can be considered a successful treatment strategy and should be included in guidelines for treating COVID‐19 patients. Nevertheless, the quality of the included articles was generally low and further high quality primary studies, in particular RCTs, are needed. Furthermore, a future umbrella review is needed to examine the safety of tocilizumab for treating COVID‐19 patients in more detail.

CONFLICT OF INTEREST

No conflict of interest declared.

ETHICS STATEMENT

The present study was approved by the ethics committee of the Shahid Beheshti University of Medical Sciences (IR.SBMU.RETECH.REC.1401.316).

AUTHOR CONTRIBUTION

Maryam Noori, Seyed Aria Nejadghaderi, Saeid Safiri, Shahnam Arshi and Ali‐Asghar Kolahi conceptualised the topic; Maryam Noori searched the databases; Mohammad Mahdi Rezaei Tolzali, Pourya Shokri and Shayan Rahmani performed screening and full‐text review; Mohammad Mahdi Rezaei Tolzali, Pourya Shokri, Shayan Rahmani, Shokoufeh Khanzadeh, and Seyed Aria Nejadghaderi performed data extraction and quality assessment; Maryam Noori performed statistical analysis; Maryam Noori, Asra Fazlollahi, Seyed Aria Nejadghaderi, Kuljit Singh and Mark J. M. Sullman prepared the first draft of the manuscript; Saeid Safiri, Shahnam Arshi and Ali‐Asghar Kolahi supervised this project. All authors reviewed and approved the final version of the manuscript. Supplementary Material Click here for additional data file.
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