Evidence map›Paper›PMID 33904609›Full record

ArticleTransfusion2021

Characteristics of coronavirus disease 19 convalescent plasma donors and donations in the New York metropolitan area.

Saagar Jain, Keshav Garg, Sabrina M Tran, Isabel L Rask, Michael Tarczon, Vijay Nandi, Debra A Kessler, Donna Strauss, Bruce S Sachais, Karina Yazdanbakhsh and 3 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transfusion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Sero-prevalence of SARS-CoV-2 antibodies in blood donors during the third wave of infection in Norway, winter/spring 2021.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2021
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Saagar JainLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Keshav GargLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Sabrina M TranLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Isabel L RaskLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Michael TarczonLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Vijay NandiLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Debra A KesslerClinical Services, New York Blood Center, New York, New York, USA.
Donna StraussClinical Services, New York Blood Center, New York, New York, USA.
Bruce S SachaisLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Karina YazdanbakhshLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Shiraz RehmaniLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.
Larry LuchsingerLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.ORCID 0000-0002-0063-1764
Patricia A ShiLindsley F. Kimball Research Institute, New York Blood Center, New York, New York, USA.ORCID 0000-0002-7954-0055
New York Blood Center · US

Funding

Hormetic ER Stress Regulation of Hematopoietic Stem Cell FunctionR01HL155574 · NHLBI · NEW YORK BLOOD CENTER · PI LUCHSINGER, LARRY L · 2021 to 2025
$2.5M
NHLBI NIH HHS R01 HL155574
6 · The paper itself

Abstract

backgroundConvalescent plasma (CP) is an important initial treatment in pandemics and the New York (NY) metropolitan area is likely to remain a hotspot for collection and distribution of such units. This study reports characteristics of coronavirus disease 19 CP (CCP) donors and their donations to the New York Blood Center (NYBC). STUDY DESIGN AND

methodsAll CCP data from our first day of collection on March 26th through July 7th, 2020 are included in this retrospective analysis. Donor and donation data were extracted from NYBC electronic databases. SARS-CoV-2 antibody testing was initially performed by the NY State Department of Health, and later by NYBC using Ortho and Abbott platforms.

resultsCCP donor age and ABO distributions were consistent with reported lower COVID-19 susceptibility in O blood types. CCP versus whole blood donors had similar on-site deferrals, but higher post-donation deferral rates. CCP versus routine plasmapheresis donations had higher vasovagal reactions but similar product rejection rates. Changes in antibody (Ab) test platforms resulted in significant changes in the percent of donors regarded as antibody positive. Donor correlates with higher anti-spike total Ig S/CO ratios were Hispanic ethnicity, overweight body mass index, and longer symptom duration; and with higher anti-nucleocapsid IgG S/CO ratios were male gender, older age, Hispanic ethnicity, and fewer days between symptom onset and first donation. DISCUSSION: We identify donor characteristics not previously reported to correlate with Ab titer. Our analysis should assist with donor outreach strategies, blood center operating logistics, and recruitment of high titer donors.

Indexed as

Blood DonorsABO Blood-Group SystemAdultAntibodies, ViralCOVID-19COVID-19 SerotherapyFemaleHumansImmunization, PassiveMaleMiddle AgedNew YorkRetrospective StudiesSARS-CoV-2ABO Blood-Group SystemAntibodies, Viralconvalescent plasmaCOVID-19COVID-19 antibodiesSARS-CoV-2

Identifiers

PMID33904609
PMCPMC8242807
OpenAlexW3158424196

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.