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1.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.12.15.22283474

ABSTRACT

BACKGROUND: The objective is to determine the impact of the Bacillus Calmette-Guerin (BCG) vaccine compared to placebo or no vaccine on COVID-19 infections and hospitalisations in healthcare workers. We are using a living and prospective approach to Individual-Participant-Data (IPD) meta-analysis of ongoing studies based on the Anytime Live and Leading Interim (ALL-IN) meta-analysis statistical methodology. METHODS: Planned and ongoing randomised controlled trials were identified from trial registries and by snowballing (final elicitation: Oct 3 2022). The methodology was specified prospectively -- with no trial results available -- for trial inclusion as well as statistical analysis. Inclusion decisions were made collaboratively based on a risk-of-bias assessment by an external protocol review committee (Cochrane risk-of-bias tool adjusted for use on protocols), expected homogeneity in treatment effect, and agreement with the predetermined event definitions. The co-primary endpoints were incidence of COVID-19 infection and COVID-19-related hospital admission. Accumulating IPD from included trials was analysed sequentially using the exact e-value logrank test (at level alpha = 0.5% for infections and level alpha = 4.5% for hospitalisations) and anytime-valid 95%-confidence intervals (CIs) for the hazard ratio (HR) for a predetermined fixed-effects approach to meta-analysis (no measures of statistical heterogeneity). Infections were included if demonstrated by PCR tests, antigen tests or suggestive lung CTs. Participants were censored at date of first COVID-19-specific vaccination and two-stage analyses were performed in calendar time, with a stratification factor per trial. RESULTS: Six trials were included in the primary analysis with 4 433 participants in total. The e-values showed no evidence of a favourable effect of minimal clinically relevance (HR < 0.8) in comparison to the null (HR = 1) for COVID-19 infections, nor for COVID-19 hospitalisations (HR < 0.7 vs HR = 1). COVID-19 infection was observed in 251 participants receiving BCG and 244 participants not receiving BCG, HR 1.02 (anytime-valid 95%-CI 0.78-1.35). COVID-19 hospitalisations were observed in 13 participants receiving BCG and 7 not receiving BCG, resulting in an uninformative estimate (HR 1.88; anytime-valid 95%-CI 0.26-13.40). DISCUSSION: It is highly unlikely that BCG has a clinically relevant effect on COVID-19 infections in healthcare workers. With only limited observations, no conclusion could be drawn for COVID-19 related hospitalisation. Due to the nature of ALL-IN meta-analysis, emerging data from new trials can be included without violating type-I error rates or interval coverage. We intend to keep this meta-analysis alive and up-to-date, as more trials report. For COVID-19 related hospitalisations, we do not expect enough future observations for a meaningful analysis. For BCG-mediated protection against COVID-19 infections, on the other hand, more observations could lead to a more precise estimate that concludes the meta-analysis for futility, meaning that the current interval excludes the HR of 0.8 predetermined as effect size of minimal clinical relevance. OTHER: No external funding. Preregistered at PROSPERO: CRD42021213069.


Subject(s)
COVID-19 , Machado-Joseph Disease , Precursor Cell Lymphoblastic Leukemia-Lymphoma
2.
Cathrine Axfors; Andreas M Schmitt; Perrine Janiaud; Janneke van 't Hooft; Sherief Abd-Elsalam; Ehab F Abdo; Benjamin S Abella; Javed Akram; Ravi K Amaravadi; Derek C Angus; Yaseen M Arabi; Shehnoor Azhar; Lindsey R Baden; Arthur W Baker; Leila Belkhir; Thomas Benfield; Marvin A H Berrevoets; Cheng-Pin Chen; Tsung-Chia Chen; Shu-Hsing Cheng; Chien-Yu Cheng; Wei-Sheng Chung; Yehuda Z Cohen; Lisa N Cowan; Olav Dalgard; Fernando F de Almeida e Val; Marcus V G de Lacerda; Gisely C de Melo; Lennie Derde; Vincent Dubee; Anissa Elfakir; Anthony C Gordon; Carmen M Hernandez-Cardenas; Thomas Hills; Andy I M Hoepelman; Yi-Wen Huang; Bruno Igau; Ronghua Jin; Felipe Jurado-Camacho; Khalid S Khan; Peter G Kremsner; Benno Kreuels; Cheng-Yu Kuo; Thuy Le; Yi-Chun Lin; Wu-Pu Lin; Tse-Hung Lin; Magnus Nakrem Lyngbakken; Colin McArthur; Bryan McVerry; Patricia Meza-Meneses; Wuelton M Monteiro; Susan C Morpeth; Ahmad Mourad; Mark J Mulligan; Srinivas Murthy; Susanna Naggie; Shanti Narayanasamy; Alistair Nichol; Lewis A Novack; Sean M O'Brien; Nwora Lance Okeke; Lena Perez; Rogelio Perez-Padilla; Laurent Perrin; Arantxa Remigio-Luna; Norma E Rivera-Martinez; Frank W Rockhold; Sebastian Rodriguez-Llamazares; Robert Rolfe; Rossana Rosa; Helge Rosjo; Vanderson S Sampaio; Todd B Seto; Muhammad Shehzad; Shaimaa Soliman; Jason E Stout; Ireri Thirion-Romero; Andrea B Troxel; Ting-Yu Tseng; Nicholas A Turner; Robert J Ulrich; Stephen R Walsh; Steve A Webb; Jesper M Weehuizen; Maria Velinova; Hon-Lai Wong; Rebekah Wrenn; Fernando G Zampieri; Wu Zhong; David Moher; Steven N Goodman; John P A Ioannidis; Lars G Hemkens.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.16.20194571

ABSTRACT

Background: Substantial COVID-19 research investment has been allocated to randomized clinical trials (RCTs) on hydroxychloroquine/chloroquine, which currently face recruitment challenges or early discontinuation. We aimed to estimate the effects of hydroxychloroquine and chloroquine on survival in COVID-19 from all currently available RCT evidence, published and unpublished. Methods: Rapid meta-analysis of ongoing, completed, or discontinued RCTs on hydroxychloroquine or chloroquine treatment for any COVID-19 patients (protocol: https://osf.io/QESV4/). We systematically identified published and unpublished RCTs by September 14, 2020 (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform, PubMed, Cochrane COVID-19 registry). All-cause mortality was extracted (publications/preprints) or requested from investigators and combined in random-effects meta-analyses, calculating odds ratios (ORs) with 95% confidence intervals (CIs), separately for hydroxychloroquine/chloroquine. Prespecified subgroup analyses included patient setting, diagnostic confirmation, control type, and publication status. Results: Sixty-two trials were potentially eligible. We included 16 unpublished trials (1596 patients) and 10 publications/preprints (6317 patients). The combined summary OR on all-cause mortality for hydroxychloroquine was 1.08 (95%CI: 0.99, 1.18; I-square=0%; 24 trials; 7659 patients) and for chloroquine 1.77 (95%CI: 0.15, 21.13, I-square=0%; 4 trials; 307 patients). We identified no subgroup effects. Conclusions: We found no benefit of hydroxychloroquine or chloroquine on the survival of COVID-19 patients. For hydroxychloroquine, the confidence interval is compatible with increased mortality (OR 1.18) or negligibly reduced mortality (OR 0.99). Findings have unclear generalizability to outpatients, children, pregnant women, and people with comorbidities.


Subject(s)
COVID-19
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