Evidence map›Paper›PMID 35098125›Full record

ArticleAnalytical science advances2021

Detection of anti-SARS-CoV-2 antibodies in dried blood spots utilizing manual or automated spot extraction and electrochemiluminescence immunoassay (ECLIA).

Andre Knoop, Hans Geyer, Oliver Lerch, Ana Rubio, Yvonne Schrader, Mario Thevis

Open access · diamondAbstract read
In one paragraph

Article in Analytical science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Andre KnoopInstitute of Biochemistry, Center for Preventive Doping Research German Sport University Cologne Cologne Germany.ORCID https://orcid.org/0000-0003-0040-8754
Hans GeyerInstitute of Biochemistry, Center for Preventive Doping Research German Sport University Cologne Cologne Germany.
Oliver LerchGerstel GmbH & Co. KG Muelheim an der Ruhr Germany.
Ana RubioInstitute of Biochemistry, Center for Preventive Doping Research German Sport University Cologne Cologne Germany.
Yvonne SchraderInstitute of Biochemistry, Center for Preventive Doping Research German Sport University Cologne Cologne Germany.
Mario ThevisInstitute of Biochemistry, Center for Preventive Doping Research German Sport University Cologne Cologne Germany.
German Sport University Cologne · DEGerstel (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological test methods to detect anti-SARS-CoV-2 antibodies represent a major measure to manage the pandemic caused by the coronavirus disease 2019 (COVID-19). In this communication, test results obtained from minimal-invasively collected dried blood spot (DBS) specimens, which can be sampled 'at home' without the need of medically trained personnel, are compared to conventionally collected venous blood samples. DBS samples were prepared for analysis either manually or by a card extraction robot, and electrochemiluminescence assay (ECLIA) characteristics, assay readout values as well as stability data covering a period of more than 200 days are provided. Constant anti-SARS-CoV-2 antibody readouts of quality control DBS were obtained over the entire test period using DBS specimens stored under dry and dark conditions. In addition, test results obtained from individuals tested twice within 10 months post-infection indicated a consistent presence of antibodies.

Indexed as

antibodyautomated DBS extractionCOVID‐19DBSECLIASARS‐CoV‐2

Identifiers

PMID35098125
PMCPMC8250974
OpenAlexW3142408280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.