Evidence map›Paper›PMID 35256646›Full record

Observational studyScientific reports2022

Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19.

Manfred Nairz, Sabina Sahanic, Alex Pizzini, Anna Böhm, Piotr Tymoszuk, Anna-Maria Mitterstiller, Laura von Raffay, Philipp Grubwieser, Rosa Bellmann-Weiler, Sabine Koppelstätter and 18 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

28 authors at 1 institution in 1 country.

Manfred NairzDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. manfred.nairz@i-med.ac.at.
Sabina SahanicDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Alex PizziniDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Anna BöhmDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Piotr TymoszukDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Anna-Maria MitterstillerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Laura von RaffayDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Philipp GrubwieserDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Rosa Bellmann-WeilerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Sabine KoppelstätterDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Andrea SchrollDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
David HaschkaDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Martina ZimmermannDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Silvia BlunderDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Kristina TrattnigDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Helene NaschbergerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Werner KlotzDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-1104-5613
Igor TheurlDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Verena PetzerDepartment of Internal Medicine V, Medical University of Innsbruck, Innsbruck, Austria.
Clemens GehrerDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
John E MindurRepertoire Immune Medicines, Cambridge, MA, USA.
Anna LugerDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Christoph SchwablDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Gerlig WidmannDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Günter WeissDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-0709-2158
Judith Löffler-RaggDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Ivan TancevskiDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Thomas SonnweberDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria. thomas.sonnweber@i-med.ac.at.
Innsbruck Medical University · AT

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) P33062Austrian Science Fund FWF P 33062Boehringer Ingelheim IIS 1199-0424
6 · The paper itself

Abstract

The CovILD study is a prospective, multicenter, observational cohort study to systematically follow up patients after coronavirus disease-2019 (COVID-19). We extensively evaluated 145 COVID-19 patients at 3 follow-up visits scheduled for 60, 100, and 180 days after initial confirmed diagnosis based on typical symptoms and a positive reverse transcription-polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). We employed comprehensive pulmonary function and laboratory tests, including serum concentrations of IgG against the viral spike (S) glycoprotein, and compared the results to clinical data and chest computed tomography (CT). We found that at the 60 day follow-up, 131 of 145 (90.3%) participants displayed S-specific serum IgG levels above the cut-off threshold. Notably, the highly elevated IgG levels against S glycoprotein positively correlated with biomarkers of immune activation and negatively correlated with pulmonary function and the extent of pulmonary CT abnormalities. Based on the association between serum S glycoprotein-specific IgG and clinical outcome, we generated an S-specific IgG-based recovery score that, when applied in the early convalescent phase, accurately predicted delayed pulmonary recovery after COVID-19. Therefore, we propose that S-specific IgG levels serve as a useful immunological surrogate marker for identifying at-risk individuals with persistent pulmonary injury who may require intensive follow-up care after COVID-19.

Indexed as

COVID-19FemaleHumansImmunoglobulin GLungMaleMiddle AgedPatient AcuityProspective StudiesRespiratory Function TestsReverse Transcriptase Polymerase Chain ReactionSpike Glycoprotein, CoronavirusImmunoglobulin GSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35256646
PMCPMC8901626
OpenAlexW4220911318

What OpenQuestion holds

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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.