Evidence map›Paper›PMID 35215797›Full record

ArticleViruses2022

Distinguishing Incubation and Acute Disease Stages of Mild-to-Moderate COVID-19.

Michael Müller, Johann Volzke, Behnam Subin, Christian Johann Schmidt, Hilte Geerdes-Fenge, Emil Christian Reisinger, Brigitte Müller-Hilke

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. 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 37% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Michael MüllerCore Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, 18057 Rostock, Germany.
Johann VolzkeCore Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, 18057 Rostock, Germany.ORCID 0000-0002-7509-6276
Behnam SubinDepartment of Cardiology, Rostock University Medical Center, 18057 Rostock, Germany.
Christian Johann SchmidtCore Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, 18057 Rostock, Germany.
Hilte Geerdes-FengeDepartment of Tropical Medicine and Infectious Diseases, Rostock University Medical Center, 18057 Rostock, Germany.
Emil Christian ReisingerDepartment of Tropical Medicine and Infectious Diseases, Rostock University Medical Center, 18057 Rostock, Germany.
Brigitte Müller-HilkeCore Facility for Cell Sorting and Cell Analysis, Rostock University Medical Center, 18057 Rostock, Germany.ORCID 0000-0002-6575-6824
University of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While numerous studies have already compared the immune responses against SARS-CoV-2 in severely and mild-to-moderately ill COVID-19 patients, longitudinal trajectories are still scarce. We therefore set out to analyze serial blood samples from mild-to-moderately ill patients in order to define the immune landscapes for differently progressed disease stages. Twenty-two COVID-19 patients were subjected to consecutive venipuncture within seven days after diagnosis or admittance to hospital. Flow cytometry was performed to analyze peripheral blood immune cell compositions and their activation as were plasma levels of cytokines and SARS-CoV-2 specific immunoglobulins. Healthy donors served as controls. Integrating the kinetics of plasmablasts and SARS-CoV-2 specific antibodies allowed for the definition of three disease stages of early COVID-19. The incubation phase was characterized by a sharp increase in pro-inflammatory monocytes and terminally differentiated cytotoxic T cells. The latter correlated significantly with elevated concentrations of IP-10. Early acute infection featured a peak in PD-1

Indexed as

Acute DiseaseAdultAgedAged, 80 and overAntibodies, ViralBlood Cell CountChemokine CXCL10COVID-19CytokinesFemaleHumansInflammationLongitudinal StudiesMaleMiddle AgedNeutrophilsAntibodies, ViralChemokine CXCL10CXCL10 protein, humanCytokinesacute infectionantibodiesCOVID-19cytotoxic T cellsdisease phasesIP-10plasmablastsSARS-CoV-2

Identifiers

PMID35215797
PMCPMC8875077
OpenAlexW4220983859

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.