Back

A systematic review of convalescent plasma treatment for COVID19

Pimenoff, V. N.; Elfstrom, M.; Dillner, J.

2020-06-07 infectious diseases
10.1101/2020.06.05.20122820 medRxiv
Show abstract

BackgroundTransfusion of convalescent immune plasma (CP) is commonly used in epidemics. Several articles now describe clinical report data of CP for treatment of SARS-CoV-2-induced COVID-19 disease. MethodsA systematic literature review was conducted using the NCBI curated COVID-19 related open-resource literature database LitCovid to identify studies using CP as treatment for COVID-19 patients. We retrieved and curated all COVID-19 related patient and treatment characteristics from previously reported studies. A Poisson model was developed to evaluate the association between age of the patients, older age being the most common risk factor for COVID-19 mortality, and recovery time since CP treatment using data extracted from the literature. ResultsFrom 18,293 identified COVID-19 related articles, we included ten studies reporting results of CP treatment for COVID-19 from a total of 61 patients. Decreased symptoms of severe COVID-19 and clearance of SARS-CoV-2 RNA were the most direct observations. We found that patients over the age of sixty who received CP treatment for COVID-19 had a significantly prolonged recovery estimated by viral clearance (from 10 to 29 days since first dose of CP) compared to younger patients, who recovered from the infection in less than a week after receiving CP treatment. ConclusionsLimited published results on plasma transfusion treatment for COVID-19 disease with concomitant treatments suggest that CP therapy for COVID-19 is well tolerated and effective. First randomized clinical trial results, however, revealed no improvements in recovery time for elderly patients with severe COVID-19 between standard treatment alone and added with convalescent plasma. Accordingly, we argue that older patients may need a significantly longer time for recovery. Further randomized clinical trial data for COVID-19 with rigorous ethical standards is urgently needed.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 12%
14.8%
2
Clinical Infectious Diseases
231 papers in training set
Top 0.7%
6.5%
3
BMJ Open
554 papers in training set
Top 4%
5.0%
4
Frontiers in Medicine
113 papers in training set
Top 1%
4.1%
5
Transfusion
18 papers in training set
Top 0.1%
3.7%
6
Infectious Diseases and Therapy
18 papers in training set
Top 0.1%
3.7%
7
International Journal of Infectious Diseases
126 papers in training set
Top 0.6%
3.4%
8
Scientific Reports
3102 papers in training set
Top 46%
2.5%
9
Journal of Clinical Medicine
91 papers in training set
Top 2%
2.1%
10
BMC Medicine
163 papers in training set
Top 3%
1.9%
11
Open Forum Infectious Diseases
134 papers in training set
Top 1%
1.8%
12
Nature Communications
4913 papers in training set
Top 50%
1.7%
50% of probability mass above
13
Annals of Translational Medicine
17 papers in training set
Top 0.6%
1.7%
14
Journal of Medical Virology
137 papers in training set
Top 2%
1.7%
15
Journal of Clinical Virology
62 papers in training set
Top 0.4%
1.5%
16
Blood Advances
54 papers in training set
Top 0.8%
1.5%
17
PLOS Medicine
98 papers in training set
Top 3%
1.4%
18
BMC Infectious Diseases
118 papers in training set
Top 4%
1.1%
19
Journal of Infection
71 papers in training set
Top 2%
1.0%
20
Journal of Internal Medicine
12 papers in training set
Top 0.5%
0.9%
21
BMJ
49 papers in training set
Top 1.0%
0.9%
22
Archives of Clinical and Biomedical Research
28 papers in training set
Top 2%
0.9%
23
The Journal of Infectious Diseases
182 papers in training set
Top 4%
0.9%
24
Eurosurveillance
80 papers in training set
Top 1%
0.8%
25
Nature Medicine
117 papers in training set
Top 4%
0.8%
26
Annals of Internal Medicine
27 papers in training set
Top 0.8%
0.8%
27
mBio
750 papers in training set
Top 11%
0.8%
28
Transactions of The Royal Society of Tropical Medicine and Hygiene
16 papers in training set
Top 0.6%
0.8%
29
British Journal of Haematology
15 papers in training set
Top 0.4%
0.8%
30
The American Journal of Pathology
31 papers in training set
Top 0.5%
0.8%