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Open AccessJournal ArticleDOI

CONVALESCENT plasma for COVID-19: A meta-analysis of clinical trials and real-world evidence.

TLDR
In this article, the authors performed a systematic review and meta-analysis to investigate the efficacy of convalescent plasma vs standard treatment/non-CP on clinical outcomes in COVID-19 patients.
Abstract
BACKGROUND: There is still a lack of consensus on the efficacy of convalescent plasma (CP) treatment in COVID-19 patients. We performed a systematic review and meta-analysis to investigate the efficacy of CP vs standard treatment/non-CP on clinical outcomes in COVID-19 patients. METHODS: Cochrane Library, PubMed, EMBASE and ClinicalTrials.gov were searched from December 2019 to 16 July 2021, for data from clinical trials and observational studies. The primary outcome was all-cause mortality. Risk estimates were pooled using a random-effect model. Risk of bias was assessed by Cochrane Risk of Bias tool for clinical trials and Newcastle-Ottawa Scale for observational studies. RESULTS: In total, 18 peer-reviewed clinical trials, 3 preprints and 26 observational studies met the inclusion criteria. In the meta-analysis of 18 peer-reviewed trials, CP use had a 31% reduced risk of all-cause mortality compared with standard treatment use (pooled risk ratio [RR] = 0.69, 95% confidence interval [CI]: 0.56-0.86, P = .001, I2  = 50.1%). Based on severity and region, CP treatment significantly reduced risk of all-cause mortality in patients with severe and critical disease and studies conducted in Asia, pooled RR = 0.61, 95% CI: 0.47-0.81, P = .001, I2  = 0.0%; pooled RR = 0.67, 95% CI: 0.49-0.92, P = .013, I2  = 0.0%; and pooled RR = 0.62, 95% CI: 0.48-0.80, P < .001, I2  = 20.3%, respectively. The meta-analysis of observational studies showed the similar results to the clinical trials. CONCLUSIONS: Convalescent plasma use was associated with reduced risk of all-cause mortality in severe or critical COVID-19 patients. However, the findings were limited with a moderate degree of heterogeneity. Further studies with well-designed and larger sample size are needed.

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Journal ArticleDOI

COVID-19 Convalescent Plasma and Clinical Trials: Understanding Conflicting Outcomes

TL;DR: A review of 30 available RCTs demonstrated that signals of efficacy were more likely if the CCP neutralizing titer was higher than 160 and the time to randomization was less than 9 days, demonstrating confusion for both clinicians and patients about the appropriate use of CCP.
Journal ArticleDOI

Safety and Efficacy of Convalescent Plasma in COVID-19: An Overview of Systematic Reviews.

TL;DR: In this paper, the authors summarize the evidence from the available systematic reviews on the efficacy and safety of convalescent plasma (CP) in COVID-19 through an overview of the published systematic reviews (SRs).
Journal ArticleDOI

Convalescent plasma therapy against the emerging SARS-CoV-2 variants: Delineation of the potentialities and risks

TL;DR: In this article , convalescent plasma therapy (CPT) has been considered a potential immunotherapeutic strategy in treating various viral infections, including SARS-CoV-2.
Posted ContentDOI

COVID-19 convalescent plasma and randomized clinical trials: rebuilding confidence by explaining failures and finding signals of efficacy.

TL;DR: In this paper, the authors analyzed variables associated with efficacy such as clinical settings, disease severity, CCP SARS-CoV-2 antibody levels and function, dose, timing of administration, outcomes (defined as hospitalization, requirement for ventilation, clinical improvement or mortality), CCP provenance and time for collection, and criteria for efficacy.
Journal ArticleDOI

COVID-19 in Patients with Hematologic Malignancies: Outcomes and Options for Treatments

TL;DR: Despite the historical exclusion of cancer patients from COVID-19 therapy trials, the emerging evidence that patients with hematologic malignancies benefit from specific treatments such as convalescent plasma is reviewed.
References
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Journal ArticleDOI

Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.

WHO Declares COVID-19 a Pandemic.

TL;DR: The Director-General of the World Health Organization, Dr. Tedros Adhanom Ghebreyesus, noted that over the past 2 weeks, the number of cases outside China increased 13-fold and theNumber of countries with cases increased threefold, and further increases are expected.
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