Evidence map›Paper›PMID 34140485›Full record

ArticleNature communications2021

Multianalyte serology in home-sampled blood enables an unbiased assessment of the immune response against SARS-CoV-2.

Niclas Roxhed, Annika Bendes, Matilda Dale, Cecilia Mattsson, Leo Hanke, Tea Dodig-Crnković, Murray Christian, Birthe Meineke, Simon Elsässer, Juni Andréll and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 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

21 authors at 5 institutions in 1 country.

Niclas RoxhedMicro and Nanosystems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. roxhed@kth.se.ORCID 0000-0002-7147-6730
Annika Bendes *Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0001-9329-2353
Matilda Dale *Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0002-5788-7744
Cecilia Mattsson *Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.
Leo HankeDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.ORCID 0000-0001-5514-2418
Tea Dodig-CrnkovićScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0002-2875-896X
Murray ChristianDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.
Birthe MeinekeScience for Life Laboratory, Karolinska Institutet, Department of Medical Biochemistry and Biophysics, Division of Genome Biology, Solna, Sweden.
Simon ElsässerScience for Life Laboratory, Karolinska Institutet, Department of Medical Biochemistry and Biophysics, Division of Genome Biology, Solna, Sweden.ORCID 0000-0001-8724-4849
Juni AndréllScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
Sebastian HavervallDivision of Internal Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Danderyd, Sweden.
Charlotte ThålinDivision of Internal Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Danderyd, Sweden.ORCID 0000-0002-1345-6491
Carina EklundKarolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.
Joakim DillnerKarolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-8588-6506
Olof BeckDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Cecilia E ThomasScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0001-6201-6380
Gerald McInerneyDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.ORCID 0000-0003-2257-7241
Mun-Gwan HongScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0001-8603-8293
Ben MurrellDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden.ORCID 0000-0002-0393-4445
Claudia FredoliniScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.ORCID 0000-0002-7674-2014
Jochen M SchwenkScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden. jochen.schwenk@scilifelab.se.ORCID 0000-0001-8141-8449
Science for Life Laboratory · SEKarolinska Institutet · SEKarolinska University Hospital · SEDanderyds sjukhus · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological testing is essential to curb the consequences of the COVID-19 pandemic. However, most assays are still limited to single analytes and samples collected within healthcare. Thus, we establish a multianalyte and multiplexed approach to reliably profile IgG and IgM levels against several versions of SARS-CoV-2 proteins (S, RBD, N) in home-sampled dried blood spots (DBS). We analyse DBS collected during spring of 2020 from 878 random and undiagnosed individuals from the population in Stockholm, Sweden, and use classification approaches to estimate an accumulated seroprevalence of 12.5% (95% CI: 10.3%-14.7%). This includes 5.4% of the samples being IgG

Indexed as

Immunity, HumoralAdultAgedAntibodies, ViralBlood Specimen CollectionCOVID-19COVID-19 Serological TestingDried Blood Spot TestingFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedSARS-CoV-2SwedenAntibodies, ViralImmunoglobulin GImmunoglobulin M

Identifiers

PMID34140485
PMCPMC8211676
OpenAlexW3167680447

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.