Evidence map›Paper›PMID 35985109›Full record

Trial reportDiagnostic microbiology and infectious disease2022

Evaluation of independent self-collected blood specimens for COVID-19 antibody detection among the US veteran population.

Tseli Mohammed, Jessica V V Brewer, Mary Pyatt, Stacey B Whitbourne, J Michael Gaziano, Connor Edson, Mark Holodniy, VA Million Veteran Program COVID-19 Science Initiative

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diagnostic microbiology and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 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

8 authors at 4 institutions in 1 country.

Tseli MohammedMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA. Electronic address: Tseli.Mohammed@va.gov.
Jessica V V BrewerMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Mary PyattMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Stacey B WhitbourneMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
Connor EdsonVHA Public Health Reference Laboratory (PHRL), Palo Alto, CA, USA.
Mark HolodniyVHA Public Health Reference Laboratory (PHRL), Palo Alto, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA.
VA Million Veteran Program COVID-19 Science Initiative
VA Boston Healthcare System · USBrigham and Women's Hospital · USHarvard University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feasibility of home blood sample collection methods for the presence of SARS-CoV-2 antibodies from VA Million Veteran Program (MVP) participants was tested to determine COVID-19 infection or vaccination status. Participants (n = 312) were randomly assigned to self-collect blood specimens using the Neoteryx Mitra Clamshell (n = 136) or Tasso-SST (n = 176) and asked to rate their experience. Mitra tip blood was eluted and Tasso tubes were centrifuged. All samples were stored at -80 °C until tested with InBios SCoV-2 Detect™ IgG ELISA, BioRad Platelia SARS-CoV-2 Total Ab Assay, Abbott SARS-CoV-2 IgG and AdviseDx SARS-CoV-2 IgG II assays. Participants rated both devices equally. The Abbott assay had the highest sensitivity (87% Mitra, 98% Tasso-SST) for detecting known COVID infection and/or vaccination. The InBios assay with Tasso-SST had the best sensitivity (97%) and specificity (80%) for detecting known COVID-19 infection and/or vaccination. Veterans successfully collected their own specimens with no strong preference for either device.

Indexed as

COVID-19VeteransAntibodies, ViralCOVID-19 TestingHumansImmunoglobulin GSARS-CoV-2Sensitivity and SpecificitySerologic TestsAntibodies, ViralImmunoglobulin GAntibodyCapillary blood collectionCOVID-19Million Veteran ProgramVeterans

Identifiers

PMID35985109
PMCPMC9287846
OpenAlexW4285601505

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.