Literature DB >> 32776573

Convalescent plasma is a clutch at straws in COVID-19 management! A systematic review and meta-analysis.

Soumya Sarkar1, Kapil D Soni2, Puneet Khanna1.   

Abstract

In the absence of definitive therapy for coronavirus disease (COVID-19), convalescent plasma therapy (CPT) may be a critical therapeutic option. This review was conducted to evaluate the impact of CPT in COVID-19 patients based on the publications reported to date. A robust screening of electronic databases was conducted up to 10th July 2020. Randomized controlled trials (RCTs), cohort studies, and case series with a control group evaluating the effectiveness and safety of CPT in patients with COVID-19 are included for the meta-analyses. Our search retrieved seven studies, including two RCTs and five cohort studies, with a total of 5444 patients. In patients with COVID-19, the use of CPT reduces mortality (odd's ratio [OR] 0.44; 95% CI, 0.25-0.77), increases viral clearance (OR, 11.29; 95% CI, 4.9-25.9) and improves clinically (OR, 2.06; 95% CI, 0.8 to 4.9). However, the evidence is of low quality (mortality reduction, and viral clearance), and very low quality (clinical improvement). CPT may be beneficial for reducing mortality, viral shedding and improving clinical conditions in COVID-19 patients. However, further randomized control trials (RCT) are required to substantiate the safety margin, initiation, optimal dosage, titre and duration of CPT.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  convalescent plasma therapy; coronavirus disease; severe acute respiratory syndrome coronavirus-2

Mesh:

Year:  2020        PMID: 32776573      PMCID: PMC7436491          DOI: 10.1002/jmv.26408

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   20.693


INTRODUCTION

Convalescent Plasma Transfusion (CPT) has been traditionally tried during large‐scale epidemics in patients with viral infections whose critical condition is refractory to supportive care. It is obtained from a recently recovered person from a viral illness and is expected to have the maximum levels of polyclonal antibodies directed against the virus. Both passive immunity (reduction in viremia) and active immunity (host immune response) have been postulated for providing an immediate promising treatment option during the evaluation of existing drugs and developing new definitive therapies.The effectiveness of CPT has been tested ever since the Spanish Influenza pandemic in 1915‐1917, severe acute respiratory syndrome (SARS) in 2003, influenza A (H1N1) in 2009, avian influenza A (H5N1), and even in Ebola. Recently, the US Food and Drug Administration has approved the use of CPT for patients with coronavirus disease (COVID‐19) under the emergency investigational new drug category and not for routine clinical use. The absence of a definitive therapeutic modality for COVID‐19 has made CPT most relevant in the current grievous scenario. However, the clinical data for the studies involving COVID‐19, are still scarce. Thus, the aim of our study is to systematically analyze the current evidence on efficacy and safety of convalescent plasma therapy in COVID‐19 patients for decision‐making to prevent and control this pandemic. This study is in accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA‐P) guidelines.

METHODS

Search strategy

This systematic search was conducted with the major electronic databases (PubMed and Medline), Google Scholar (https://scholar.google.com), and preprint platforms MedRxiv (https://www.medrxiv.org) from 1st January2020 to 10th July 2020, independently by two researchers (SS and PK). The following terminologies: (“COVID‐19”) OR (“SARS‐CoV‐2”) AND (“plasma” OR “convalescent plasma”) were searched for.

Inclusion and exclusion criteria

We included randomized controlled trials (RCT), controlled clinical trials, prospective and retrospective comparative cohort studies, case‐control studies; cross‐sectional studies, and case series with a control group on steroid therapy for COVID‐19 patients. Our primary outcome of interest was mortality, and secondary outcomes included improvement in clinical conditions and clearance of viral shedding.We excluded articles written in languages other than English, absence of essential data, and without retrievable full text (PRISMA flow diagram). ,

Study selection

The available literature was screened independently after the removal of duplications by two researchers (SS and KDS). We screened all the abstracts primarily to exclude irrelevant articles. Finally, full‐texts of the potentially eligible studies were screened for inclusion. Disagreements involved consultation with a third researcher (PK).

Data extraction

Two researchers (SS and KDS) extracted the data independently from all included studies with the use of pre‐conceived data extraction sheet. The extracted information contained details of the intervention and control groups, mortality, clinical improvement, and viral clearance. The number of events along with the total number of patients per group was extracted for dichotomous data. Studies with missing or unusable data are reported in findings descriptively.

Risk of bias assessment

Two researchers (SS and PK) assessed the potential bias in each selected study independently. The third researcher (KDs) was consulted for resolving any difference of opinion. The RoB 2.0 tool, was used for RCTs, which includes five domains: “randomization process”, “deviations from intended interventions”, “missing outcome data”, “measurement of the outcome”, and “selection of the reported result”. We used the Risk Of Bias In Non‐randomized Studies—of Interventions (ROBINS‐I) tool for assessing the risk of bias in non‐randomized studies. It comprises seven domains: “bias due to confounding”, “selection of participants, classification of interventions”, “deviations from intended interventions”, “missing data”, “measurement of outcomes”, and “selection of the reported result”. Each domain is graded as “Low”, “Moderate”, “Serious”, and “Critical”.

Quality of the evidence

Two experienced researchers (PK and KDS) evaluated the quality of evidence by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool. , It has five downgrading factors (study limitations, consistency of effect, imprecision, indirectness, and publication bias) and three upgrading factors (large magnitude of the effect, dose‐response relation, and plausible confounders or biases). The quality of evidence of each outcome is classified as “High”, “Moderate”, “Low” or “Very low”. , , , , , ,

Data synthesis

Review manager version 5.4 was used for conducting the meta‐analysis. The Odd's ratio (OR) with 95% confidence intervals (CIs) was assessed in accordance with the Cochrane Handbook for Systematic Reviews of Interventions. Statistical heterogeneity was assessed with the I2 statistic, >50% indicating substantial heterogeneity. A funnel plot was used to assess publication bias. The present study was not registered for rapid decision making in the context of the ongoing public health emergency.

RESULTS

Basic characteristics

We included 7 studies (2 RCTs and 5 cohort studies) out of 679 identified publications in this rapid review, after satisfying the inclusion criteria (Figure 1 and Table 1). The risk of bias was low in one of the included RCTs and another one had some concerns (Figure 2A). Out of the other five studies, four studies were associated with a moderate degree of bias (Figure 2B).
Figure 1

PRISMA‐2009 flow diagram

Table 1

Characteristics of included studies

SNStudies (Year)Type of study (centre)No of patientsPatient conditionTime of administrationDosage of CPTAntibody titerConcomitant therapyAuthor's conclusion
1Chen et al 24 Retrospective Observational, MC29Severely ill19 d (IQR, 14‐20)200‐500 mL (4‐5 mL/kg)>1:160Not specifiedSignificant improvement in clinical outcomes in comparison to the untreated cases
2Duan et al 25 Pilot prospective cohort with a historical control group, SC20Severely ill16.5 d (IQR, 11‐19)200 mL>1:640antiviral therapy, steroids and supportive care as appropriateCPT shows a potential therapeutic effect and low risk in the treatment of severe COVID‐19 patients
3Gharbharan et al  26 Open‐label RCT, MC86Mild‐ moderately ill9 d (IQR, 7‐13)300 mL1:640 (IQR, 1:320‐1:1280)Chloroquine, azithromycin, lopinavir/ritonavir, tocilizumab, anakinra as appropriateNo statistically significant differences in mortality (OR, 0.95, CI, 0.20‐4.67; P = .95) or improvement in the day‐15 disease severity (OR, 1.30; CI, 0.52‐3.32; P = .58) was observed when the study was suspended
4Joyner et al 27 Observational CT, MC5000Critically illNot specified200‐500 mLNot specifiedNot specifiedSeven‐day mortality rate = 14.9%
5Li et al 28 Open label RCT, MC103Critically ill27 d (IQR, 22‐39)4‐13 mL/kg 200 mL (IQR, 200‐300)>1:640antivirals, steroids, immunoglobulin, antibiotics and Chinese herbal medicines, as appropriateIn severe or life‐threatening COVID‐19 patients, in addition to standard treatment, CPT did not result in a statistically significant improvement in time to clinical improvement within 28 d. Interpretation is limited by early termination of the trial
6Liu et al 29 Case controlled study, SC185Moderate‐ critically ill4 d (IQR, 1‐7)2 units. Each unit of 250 mL>1:320antivirals, anti‐biotics, steroid and immunoglobulins as appropriatePlasma recipients also demonstrated improved survival, compared to control patients
7Zeng et al 30 Retrospective observational study, MC21Critically ill21.5 d (IQR, 17.8‐23)300 mL (IQR, 200‐600)Not specifiedantivirals, steroid and immunoglobulins as appropriateCPT can discontinue the viral shedding and contribute longer survival duration in COVID‐19 patients with respiratory failure, although it cannot reduce the mortality in critically end‐stage patients

Abbreviations: CPT, convalescent plasma transfusion; IQR, interquartile range; MC, multi‐center; OR, odds ratio; RCT, randomized controlled trial; SC, single center.

Figure 2

A, ROB2 tool assessment for the included RCTs. B, ROBINS‐I assessment for the included non‐randomized cohort studies

PRISMA‐2009 flow diagram Characteristics of included studies Abbreviations: CPT, convalescent plasma transfusion; IQR, interquartile range; MC, multi‐center; OR, odds ratio; RCT, randomized controlled trial; SC, single center. A, ROB2 tool assessment for the included RCTs. B, ROBINS‐I assessment for the included non‐randomized cohort studies

Meta‐analysis

Mortality was assessed in seven articles (two RCTs and five cohort studies) with a total of 5444 patients. The use of CPT reduced the risk of mortality almost by half in COVID‐19 (OR, 0.44; 95% CI, 0.25 to 0.77; I 2 = 0), which is statistically significant (Figure 3).
Figure 3

The efficacy of convalescent plasma therapy on mortality in COVID‐19 patients

The efficacy of convalescent plasma therapy on mortality in COVID‐19 patients Five studies with a total of 259 patients assessed the clinical improvement in COVID‐19. The majority of the COVID‐19 patients who received CPT showed clinical improvement than that in patients who received no CPT (OR, 2.06; 95% CI, 0.8 to 4.9; I 2 = 44%) (Figure 4A). However, the finding is not statistically significant.
Figure 4

A, The impact of convalescent plasma therapy on clinical improvement in COVID‐19 patients. B, The effect of convalescent plasma therapy on viral clearance in COVID‐19 patients

A, The impact of convalescent plasma therapy on clinical improvement in COVID‐19 patients. B, The effect of convalescent plasma therapy on viral clearance in COVID‐19 patients The incidence of viral clearance was assessed in two studies with a total of 144 patients. It is found that the use of CPT helps in viral clearance (OR, 11.29; 95% CI, 4.9 to 25.9; I 2 = 0%) significantly (Figures 4B). Apart from mild heterogeneity among studies on assessing clinical improvement (I 2 = 44), the overall findings are homogenous. In view of the high homogeneity, the overall effect seems to be conclusive.

Quality of evidence

The quality of evidence on the impact of CPT on mortality and viral clearance in COVID‐19 is of low quality, and that of clinical improvement is of very low quality (Table 2).
Table 2

GRADE evidence profile of COVID‐19 studies

Out comeNo. of participantsRisk of biasInconsistencyIndirectnessImprecisionOther considerationsQuality of evidence (Grade)Relative effect
Total no.InterventionControl
Mortality54445169285YesNoNoNoNoneLow ⊕⊕⊝⊝OR 0.44 (95% CI, 0.25 to 0.77)
Clinical improvement259130129YesNoNoYesNoneVery low ⊕⊝⊝⊝OR 2.06 (95% CI, 0.8 to 4.9)
Viral Clearance1446876YesNoNoNoNoneLow ⊕⊕⊝⊝OR 11.29 (95% CI, 4.9 to 25.9)

Abbreviations: CI, confidence interval; COVID‐19, coronavirus disease 2019; GRADE, Grading of Recommendations Assessment, Development, and Evaluation; MD, mean difference; OR, odds ratio.

GRADE evidence profile of COVID‐19 studies Abbreviations: CI, confidence interval; COVID‐19, coronavirus disease 2019; GRADE, Grading of Recommendations Assessment, Development, and Evaluation; MD, mean difference; OR, odds ratio.

Publication bias

We assessed publication bias for the studies on COVID‐19 mortality. The funnel plot indicates a publication bias is likely in view of smaller studies with a large effect (Figure S1).

DISCUSSION

We have identified low‐quality evidence with variability that the convalescent plasma therapy is associated with around 44% reduction in the mortality in COVID‐19 patients. A similar systematic review and meta‐analysis on severe acute respiratory syndrome (SARS), reported that the CPT is beneficial for reducing the mortality (OR, 0.25; 95% CI, 0.14 to 0.45; I 2 = 0%) in comparison to placebo or no therapy. Another recent systematic review on CPT in COVID‐19 patients reported about a potential reduction in mortality but was unable to provide any opinion regarding the efficacy of CPT in COVID‐19 due to paucity in quantitative synthesis. The present study has identified that very low‐quality evidence regarding improvement in clinical conditions and low‐quality evidence for viral clearance are associated with CPT. A recent systematic review on the efficacy of CPT for the management of COVID‐19 also reported a significant decrease in viral loads and improvement in clinical symptoms within 3 to 26 days post‐transfusion. Rajendran et al also reported similar findings in their systematic review. Another meta‐analysis on the efficacy and safety of convalescent plasma have found uninformative results regarding complete recovery (OR, 1.04; 95% CI, 0.69 to 1.64), length of stay (mean difference, 1.62; 95% CI, –3.82 to 0.58) and reduction in viral load on day 3 (RR, 1.07; 95% CI, 0.58 to 1.8), and day 7 (RR, 1.32; 95% CI, 0.97 to 1.81). However, the quality of evidence was very low due to the presence of high level of indirectness. Salazar et al reported out of 25 critically ill patients, who received CPT on the 7th post‐transfusion day, 9 patients improved, while 13 remained static, and 3 deteriorated, and on the 14th post‐transfusion day 19 patients had a better clinical status, as per 6 points WHO ordinal scale. The studies have shown significant variation regarding the timing of initiation, dosage and neutralizing antibody titer, and concomitant therapy. However, a dilemma exists on finding a concrete conclusion about the favorable outcome being due to CP therapy alone based on the given evidence and not due to natural disease progression or concomitant therapies.

Adverse events

The overall incidence of serious adverse events was very low. None of the patients, who received CPT in two studies, Gharbharan et al (n = 43) and Zeng et al (n = 6) showed any adverse event. Joyner et al reported the incidence of serious adverse events after CPT was low (<1%) in 5,000 patients. They reported about transfusion‐associated circulatory overload (TACO) (n = 7), transfusion‐related lung injury (TRALI) (n = 11) and severe allergic reactions (n = 3). Dua et al reported about rashes in one patient out of 10 patients, who received CPT. Another study reported about TRALI in one patient and rashes in one patient out of 52 patients.

Strengths and limitations

Our study is one of the first comprehensive and systematic reviews of the effectiveness and safety of convalescent plasma therapy for patients with COVID‐19 using data from COVID‐19 studies and may be considered at the moment as the best evidence for decision‐making. Although in the current scenario, CPT is an effective therapeutic option in addition to current antiviral, antimicrobial agents, a wide range of variation regarding selection of the donor, clinical stage of the recipient, initiation time, antibody titer, volume, dose and duration of CPT is noted across the available studies so far. We could not conduct subgroup analyses due to lack of data. We also acknowledge the procedure is yet to be standardized, and information in this regard is still evolving.

CONCLUSION

CPT may be an effective therapeutic option, until the availability of therapeutic and/or prophylactic agents for COVID‐19, with some early promising evidence on safety, viral clearance, and reduction in mortality. However, large multi‐center clinical trials are the need of the hour for establishing a stronger quality of evidence along with the optimal doses, titer, and initiation time point for CPT for effective use.

Summary statement

Impact of convalescent plasma therapy in COVID‐19 management: ↓ Mortality (OR, 0.44; 95% CI, 0.25 to 0.77). ↑ Viral clearance (OR, 11.29; 95% CI, 4.9 to 25.9). ↑ Clinical‐improvement (OR, 2.06; 95% CI, 0.8 to 4.9).

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

AUTHOR CONTRIBUTIONS

SS: conceptualization search strategy study selection, data extraction, risk of bias assessment, and drafted the manuscript; KDS: study selection, data extraction, risk of bias assessment, quality of the evidence assessment, data synthesis, and editing; PK: conceptualization, search strategy, study selection, risk of bias assessment, quality of the evidence assessment, and editing. Supplementary information Click here for additional data file. Supplementary information Click here for additional data file.
  31 in total

1.  GRADE guidelines: 3. Rating the quality of evidence.

Authors:  Howard Balshem; Mark Helfand; Holger J Schünemann; Andrew D Oxman; Regina Kunz; Jan Brozek; Gunn E Vist; Yngve Falck-Ytter; Joerg Meerpohl; Susan Norris; Gordon H Guyatt
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

2.  Meta-analysis: convalescent blood products for Spanish influenza pneumonia: a future H5N1 treatment?

Authors:  Thomas C Luke; Edward M Kilbane; Jeffrey L Jackson; Stephen L Hoffman
Journal:  Ann Intern Med       Date:  2006-08-29       Impact factor: 25.391

3.  RoB 2: a revised tool for assessing risk of bias in randomised trials.

Authors:  Jonathan A C Sterne; Jelena Savović; Matthew J Page; Roy G Elbers; Natalie S Blencowe; Isabelle Boutron; Christopher J Cates; Hung-Yuan Cheng; Mark S Corbett; Sandra M Eldridge; Jonathan R Emberson; Miguel A Hernán; Sally Hopewell; Asbjørn Hróbjartsson; Daniela R Junqueira; Peter Jüni; Jamie J Kirkham; Toby Lasserson; Tianjing Li; Alexandra McAleenan; Barnaby C Reeves; Sasha Shepperd; Ian Shrier; Lesley A Stewart; Kate Tilling; Ian R White; Penny F Whiting; Julian P T Higgins
Journal:  BMJ       Date:  2019-08-28

4.  Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19: A Randomized Clinical Trial.

Authors:  Ling Li; Wei Zhang; Yu Hu; Xunliang Tong; Shangen Zheng; Juntao Yang; Yujie Kong; Lili Ren; Qing Wei; Heng Mei; Caiying Hu; Cuihua Tao; Ru Yang; Jue Wang; Yongpei Yu; Yong Guo; Xiaoxiong Wu; Zhihua Xu; Li Zeng; Nian Xiong; Lifeng Chen; Juan Wang; Ning Man; Yu Liu; Haixia Xu; E Deng; Xuejun Zhang; Chenyue Li; Conghui Wang; Shisheng Su; Linqi Zhang; Jianwei Wang; Yanyun Wu; Zhong Liu
Journal:  JAMA       Date:  2020-08-04       Impact factor: 56.272

5.  GRADE guidelines: 9. Rating up the quality of evidence.

Authors:  Gordon H Guyatt; Andrew D Oxman; Shahnaz Sultan; Paul Glasziou; Elie A Akl; Pablo Alonso-Coello; David Atkins; Regina Kunz; Jan Brozek; Victor Montori; Roman Jaeschke; David Rind; Philipp Dahm; Joerg Meerpohl; Gunn Vist; Elise Berliner; Susan Norris; Yngve Falck-Ytter; M Hassan Murad; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2011-07-30       Impact factor: 6.437

6.  The convalescent sera option for containing COVID-19.

Authors:  Arturo Casadevall; Liise-Anne Pirofski
Journal:  J Clin Invest       Date:  2020-04-01       Impact factor: 14.808

7.  HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1.

Authors:  Till Schoofs; Florian Klein; Malte Braunschweig; Edward F Kreider; Anna Feldmann; Lilian Nogueira; Thiago Oliveira; Julio C C Lorenzi; Erica H Parrish; Gerald H Learn; Anthony P West; Pamela J Bjorkman; Sarah J Schlesinger; Michael S Seaman; Julie Czartoski; M Juliana McElrath; Nico Pfeifer; Beatrice H Hahn; Marina Caskey; Michel C Nussenzweig
Journal:  Science       Date:  2016-05-05       Impact factor: 47.728

8.  Effectiveness of convalescent plasma therapy in severe COVID-19 patients.

Authors:  Kai Duan; Bende Liu; Cesheng Li; Huajun Zhang; Ting Yu; Jieming Qu; Min Zhou; Li Chen; Shengli Meng; Yong Hu; Cheng Peng; Mingchao Yuan; Jinyan Huang; Zejun Wang; Jianhong Yu; Xiaoxiao Gao; Dan Wang; Xiaoqi Yu; Li Li; Jiayou Zhang; Xiao Wu; Bei Li; Yanping Xu; Wei Chen; Yan Peng; Yeqin Hu; Lianzhen Lin; Xuefei Liu; Shihe Huang; Zhijun Zhou; Lianghao Zhang; Yue Wang; Zhi Zhang; Kun Deng; Zhiwu Xia; Qin Gong; Wei Zhang; Xiaobei Zheng; Ying Liu; Huichuan Yang; Dongbo Zhou; Ding Yu; Jifeng Hou; Zhengli Shi; Saijuan Chen; Zhu Chen; Xinxin Zhang; Xiaoming Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-06       Impact factor: 11.205

9.  Retrospective comparison of convalescent plasma with continuing high-dose methylprednisolone treatment in SARS patients.

Authors:  Y O Y Soo; Y Cheng; R Wong; D S Hui; C K Lee; K K S Tsang; M H L Ng; P Chan; G Cheng; J J Y Sung
Journal:  Clin Microbiol Infect       Date:  2004-07       Impact factor: 8.067

10.  Convalescent plasma transfusion for the treatment of COVID-19: Systematic review.

Authors:  Karthick Rajendran; Narayanasamy Krishnasamy; Jayanthi Rangarajan; Jeyalalitha Rathinam; Murugan Natarajan; Arunkumar Ramachandran
Journal:  J Med Virol       Date:  2020-05-12       Impact factor: 20.693

View more
  29 in total

1.  Convalescent plasma associates with reduced mortality and improved clinical trajectory in patients hospitalized with COVID-19.

Authors:  Shanna A Arnold Egloff; Angela Junglen; Joseph Sa Restivo; Marjorie Wongskhaluang; Casey Martin; Pratik Doshi; Daniel Schlauch; Gregg Fromell; Lindsay E Sears; Mick Correll; Howard A Burris; Charles F LeMaistre
Journal:  J Clin Invest       Date:  2021-10-15       Impact factor: 14.808

2.  Medical Students Volunteering during COVID-19 Pandemic: Synopsis of Some Student-led Initiatives in Nepal.

Authors:  Pragyan Basnet; Anjali Joshi
Journal:  JNMA J Nepal Med Assoc       Date:  2021-08-12       Impact factor: 0.556

3.  Efficacy and Safety of Blood Derivative Therapy for Patients with COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Zhangcheng Fei; Zhongsheng Chen; Xi Du; Haijun Cao; Changqing Li
Journal:  Transfus Med Hemother       Date:  2022-04-25       Impact factor: 4.040

4.  Hyperimmune anti-COVID-19 IVIG (C-IVIG) treatment in severe and critical COVID-19 patients: A phase I/II randomized control trial.

Authors:  Shaukat Ali; Syed Muneeb Uddin; Elisha Shalim; Muneeba Ahsan Sayeed; Fatima Anjum; Farah Saleem; Sheikh Muhammad Muhaymin; Ayesha Ali; Mir Rashid Ali; Iqra Ahmed; Tehreem Mushtaq; Sadaf Khan; Faisal Shahab; Shobha Luxmi; Suneel Kumar; Habiba Arain; Mujtaba Khan; Abdul Samad Khan; Hamid Mehmood; Abdur Rasheed; Ashraf Jahangeer; SaifUllah Baig; Saeed Quraishy
Journal:  EClinicalMedicine       Date:  2021-06-04

5.  Convalescent plasma therapy in patients with moderate-to-severe COVID-19: A study from Indonesia for clinical research in low- and middle-income countries.

Authors:  Marliana S Rejeki; Nana Sarnadi; Retno Wihastuti; Vininta Fazharyasti; Wisvici Y Samin; Frilasita A Yudhaputri; Edison Johar; Neni Nurainy; Novilia S Bachtiar; David H Muljono
Journal:  EClinicalMedicine       Date:  2021-06-04

6.  Effect of time and titer in convalescent plasma therapy for COVID-19.

Authors:  Paola de Candia; Francesco Prattichizzo; Silvia Garavelli; Rosalba La Grotta; Annunziata De Rosa; Agostina Pontarelli; Roberto Parrella; Antonio Ceriello; Giuseppe Matarese
Journal:  iScience       Date:  2021-07-22

7.  Clinical effectiveness of convalescent plasma in hospitalized patients with COVID-19: a systematic review and meta-analysis.

Authors:  Roberto Ariel Abeldaño Zuñiga; Ruth Ana María González-Villoria; María Vanesa Elizondo; Anel Yaneli Nicolás Osorio; David Gómez Martínez; Silvia Mercedes Coca
Journal:  Ther Adv Respir Dis       Date:  2021 Jan-Dec       Impact factor: 4.031

8.  Convalescent Plasma for the Prevention and Treatment of COVID-19: A Systematic Review and Quantitative Analysis.

Authors:  Henry T Peng; Shawn G Rhind; Andrew Beckett
Journal:  JMIR Public Health Surveill       Date:  2021-04-07

9.  Convalescent Plasma for Patients With Severe Coronavirus Disease 2019 (COVID-19): A Matched Cohort Study.

Authors:  Ralph Rogers; Fadi Shehadeh; Evangelia K Mylona; Josiah Rich; Marguerite Neill; Francine Touzard-Romo; Sara Geffert; Jerome Larkin; Jeffrey A Bailey; Shaolei Lu; Joseph Sweeney; Eleftherios Mylonakis
Journal:  Clin Infect Dis       Date:  2021-07-01       Impact factor: 9.079

10.  Convalescent plasma is a clutch at straws in COVID-19 management! A systematic review and meta-analysis.

Authors:  Soumya Sarkar; Kapil D Soni; Puneet Khanna
Journal:  J Med Virol       Date:  2020-08-21       Impact factor: 20.693

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.