Evidence map›Paper›PMID 38426747›Full record

ArticleMicrobiology spectrum2024

A Dried Blood Spot protocol for high-throughput quantitative analysis of SARS-CoV-2 RBD serology based on the Roche Elecsys system.

Noemi Castelletti, Ivana Paunovic, Raquel Rubio-Acero, Jessica Beyerl, Michael Plank, Christina Reinkemeyer, Inge Kroidl, Ivan Noreña, Simon Winter, Laura Olbrich and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 5 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

14 authors at 2 institutions in 1 country.

Noemi Castelletti *Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-6598-5352
Ivana Paunovic *Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Raquel Rubio-Acero *Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Jessica BeyerlDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Michael PlankDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Christina ReinkemeyerDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Inge KroidlDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Ivan NoreñaDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Simon WinterDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Laura OlbrichDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Christian JankeDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Michael HoelscherDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Andreas WieserDivision of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-8703-9228
KoCo19/ORCHESTRA Working group
LMU Klinikum · DEHelmholtz Zentrum München · DE

Funding

Bavarian State Ministry of Science and ArtsEuropean Union's Horizon 2020 research and innovation programmeHelmholtz Zentrum München (Helmholtz Centre Munich, German Research Center for Environmental Health)LMU University Hospital, LMU MunichMedical Biodefense Research Program of the Bundeswehr Medical ServiceMinistry of Education and ResearchRoche Holding | Roche Diagnostics (Roche Diagnostics Corporation)Universität Bielefeld (Uni Bielefeld)University of Bonn
6 · The paper itself

Abstract

SARS-CoV-2 spreads pandemically since 2020; in 2021, effective vaccinations became available and vaccination campaigns commenced. Still, it is hard to track the spread of the infection or to assess vaccination success in the broader population. Measuring specific anti-SARS-CoV-2 antibodies is the most effective tool to track the spread of the infection or successful vaccinations. The need for venous-blood sampling however poses a significant barrier for large studies. Dried-blood-spots on filter-cards (DBS) have been used for SARS-CoV-2 serology in our laboratory, but so far not to follow quantitative SARS-CoV-2 anti-spike reactivity in a longitudinal cohort. We developed a semi-automated protocol or quantitative SARS-CoV-2 anti-spike serology from self-sampled DBS, validating it in a cohort of matched DBS and venous-blood samples (

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansPhlebotomyReproducibility of ResultsAntibodies, ViralantibodyCOVID-19DBSquantitativeRoche ElecsysSARS-CoV-2serologySpike

Identifiers

PMID38426747
PMCPMC10986497
OpenAlexW4392357742

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.