Evidence map›Paper›PMID 34376289›Full record

ArticleTransfusion medicine reviews2021

Progression and Predictors of SARS-CoV-2 Antibody Seroreactivity In US Blood Donors.

Ralph R Vassallo, Larry J Dumont, Marjorie D Bravo, Kelsey Hazegh, Hany Kamel

Open access · greenAbstract read
In one paragraph

Article in Transfusion medicine reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Ralph R VassalloCorporate Medical Affairs, Vitalant, Scottsdale, AZ, USA; Dept. of Pathology, University of New Mexico School of Medicine, Albuquerque, NM, USA. Electronic address: rvassallo@vitalant.org.
Larry J DumontVitalant Research Institute, Denver, CO, USA; Dept. of Pathology, University of Colorado School of Medicine, Aurora, CO, USA; Dept. of Pathology and Laboratory Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Marjorie D BravoCorporate Medical Affairs, Vitalant, Scottsdale, AZ, USA.
Kelsey HazeghVitalant Research Institute, Denver, CO, USA.
Hany KamelCorporate Medical Affairs, Vitalant, Scottsdale, AZ, USA.
Vitalant · USDartmouth College · USUniversity of New Mexico · USVitalant · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The second largest US blood center began testing for antibodies to SARS-CoV-2, the etiologic agent of Coronavirus Disease-2019 (COVID-19) to identify potential COVID-19 Convalescent Plasma (CCP) donors and encourage blood donation. We report the non-vaccine seroprevalence of total immunoglobulin directed against the S1 spike protein of SARS-CoV-2 in our donors. Unique non-CCP donor sera from June 01to December 31, 2020 were tested with the Ortho VITROS Anti-SARS-CoV-2 total immunoglobulin assay (reactive: signal-to-cutoff (S/C) ≥ 1). Multivariate regressions including age, sex, race-ethnicity, ABO, RhD, highest education level, donor experience, regional collection center and drive type factors were conducted to identify demographics associated with the presence of antibodies and with S/C values. Unique donors (n = 523,068) showed an overall seroprevalence of 6.12% over 7 months, with the highest prevalence in December 2020 around Lubbock, TX (24.3%). In a subset of donors with demographic information (n = 394,470), lower odds of antibody reactivity were associated with female sex, non-Hispanic White or Asian race/ethnicity, age ≥ 65, graduate education, blood Group O, and history of blood donation. In reactive donors (n = 24,028), antibody signal was associated with male sex, race/ethnicity other than non-Hispanic White, low educational attainment, age 16-17 years and geographic location. Seroprevalence continues to grow in US blood donors but varies significantly by region. Temporal trends in reactivity may be useful to estimate effectiveness of public health measures. Before generalizing these data from healthy donors to the general population, rates must be corrected for false-positive test results and adjusted to match the wider US demography.

Indexed as

Blood DonorsCOVID-19 Serological TestingAdolescentAdultAgedAged, 80 and overAntibodies, ViralBiomarkersCOVID-19COVID-19 SerotherapyFemaleHumansImmunization, PassiveLogistic ModelsMaleMiddle AgedAntibodies, ViralBiomarkersCoronavirusCOVID-19SARS-CoV-2seroprevalence

Identifiers

PMID34376289
PMCPMC8321959
OpenAlexW3188573116

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.