Evidence map›Paper›PMID 33532787›Full record

ArticlemedRxiv : the preprint server for health sciences2021

New-Onset IgG Autoantibodies in Hospitalized Patients with COVID-19.

Sarah Esther Chang, Allan Feng, Wenzhao Meng, Sokratis A Apostolidis, Elisabeth Mack, Maja Artandi, Linda Barman, Kate Bennett, Saborni Chakraborty, Iris Chang and 39 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 91 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

49 authors at 10 institutions in 2 countries.

Sarah Esther Chang
Allan Feng
Wenzhao Meng
Sokratis A Apostolidis
Elisabeth Mack
Maja Artandi
Linda Barman
Kate Bennett
Saborni Chakraborty
Iris Chang
Peggie Cheung
Sharon Chinthrajah
Shaurya Dhingra
Evan Do
Amanda Finck
Andrew Gaano
Reinhard Geßner
Heather M Giannini
Joyce Gonzalez
Sarah Greib
Margrit Gündisch
Alex Ren Hsu
Alex Kuo
Monali Manohar
Rong Mao
Indira Neeli
Andreas Neubauer
Oluwatosin Oniyide
Abigail Elizabeth Powell
Rajan Puri
Harald Renz
Jeffrey M Schapiro
Payton A Weidenbacher
Rich Wittman
Neera Ahuja
Ho-Ryun Chung
Pras Jagannathan
Judith James
Peter S Kim
Nuala J Meyer
Kari Nadeau
Marko Radic
William H Robinson
Upinder Singh
Taia T Wang
E John Wherry
Chrysanthi Skevaki
Eline T Luning Prak
P J Utz
Stanford University · USUniversity of Pennsylvania · USPhilipps University of Marburg · DEChan Zuckerberg Initiative (United States) · USTranslational Therapeutics (United States) · USUniversity of Tennessee Health Science Center · USKaiser Permanente · USOklahoma Medical Research Foundation · USStanford Medicine · USVA Palo Alto Health Care System · US

Funding

Training Program/Rheumatic DiseasesT32AR076951 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI EDWARD M BEHRENS, Peter A Merkel · 2020 to 2026
$2.6M
NIAMS NIH HHS T32 AR076951
6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), is associated with a wide range of clinical manifestations, including autoimmune features and autoantibody production. We developed three different protein arrays to measure hallmark IgG autoantibodies associated with Connective Tissue Diseases (CTDs), Anti-Cytokine Antibodies (ACA), and anti-viral antibody responses in 147 hospitalized COVID-19 patients in three different centers. Autoantibodies were identified in approximately 50% of patients, but in <15% of healthy controls. When present, autoantibodies largely targeted autoantigens associated with rare disorders such as myositis, systemic sclerosis and CTD overlap syndromes. Anti-nuclear antibodies (ANA) were observed in ∼25% of patients. Patients with autoantibodies tended to demonstrate one or a few specificities whereas ACA were even more prevalent, and patients often had antibodies to multiple cytokines. Rare patients were identified with IgG antibodies against angiotensin converting enzyme-2 (ACE-2). A subset of autoantibodies and ACA developed

Identifiers

PMID33532787
PMCPMC7852238
OpenAlexW3123482088

What OpenQuestion holds

Textmetadata
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.