Evidence map›Paper›PMID 36907547›Full record

SynthesisInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis.

Xi Wang, Qi Tang, Hongmei Li, Honglin Jiang, Jing Xu, Robert Bergquist, Zhiqiang Qin

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. mRNA-LNP vaccine-induced CD8Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  8. Observational
  9. Review
  10. Article
  11. [SARS-CoV-2 infection and autoimmunity].Zeitschrift fur Rheumatologie · 2024
    Review
  12. Observational
  13. Severe acute herpes virus type 2 primo-infection and its association with anti-type 1 interferon autoantibodies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  14. Article
  15. Article
  16. 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 3 institutions in 2 countries.

Xi WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, People's Republic of China; NHC Key Laboratory of Parasite and Vector Biology, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China.
Qi TangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, People's Republic of China; NHC Key Laboratory of Parasite and Vector Biology, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China.
Hongmei LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, People's Republic of China; NHC Key Laboratory of Parasite and Vector Biology, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China.
Honglin JiangFudan University School of Public Health, Shanghai, People's Republic of China; Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, People's Republic of China; Fudan University Center for Tropical Disease Research, Shanghai, People's Republic of China.
Jing XuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, People's Republic of China; NHC Key Laboratory of Parasite and Vector Biology, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China.
Robert BergquistIngerod, Brastad, Sweden (formerly at the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR).
Zhiqiang QinNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, People's Republic of China; NHC Key Laboratory of Parasite and Vector Biology, Shanghai, People's Republic of China; WHO Collaborating Centre for Tropical Diseases, Shanghai, People's Republic of China; National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China. Electronic address: qinzq@nipd.chinacdc.cn.
National Institute for Parasitic Diseases · CNFudan University · CNWorld Bank · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this study, we aimed to study the rate of autoantibodies against type I interferons (IFNs) in patients with COVID-19 and analyze its dependence on severity of infection and some other variables.

methodsA systemic review with the search terms: "COVID-19" or "SARS-CoV-2" and "autoantibodies" or "autoantibody" and "IFN" or "interferon" for the period 20 December 2019 to 15 August 2022 was carried out using PubMed, Embase, Cochrane, and Web of Science. R 4.2.1 software was used for meta-analysis of the published results. Pooled risk ratios and 95% confidence intervals (CIs) were calculated.

resultsWe identified eight studies involving 7729 patients, of whom 5097 (66%) had severe COVID-19 and 2632 (34%) had mild or moderate symptoms. The positive rate of anti-type-I-IFN-autoantibodies in the total dataset was 5% (95% CI, 3-8%), but reached 10% (95% CI, 7-14%) in those with severe infection. The most common subtypes were anti-IFN-α (89%) and anti-IFN-ω (77%). The overall prevalence in male patients was 5% (95% CI, 4-6%), and in female patients 2% (95% CI, 1-3%).

conclusionSevere COVID-19 is associated with high rates of autoantibodies against type-I-IFN and more so in male than female patients.

Indexed as

COVID-19Interferon Type IAutoantibodiesFemaleHumansInterferon-alphaInterferonsMaleSARS-CoV-2AutoantibodiesInterferon-alphaInterferonsInterferon Type IAnti-type-I-IFN-autoantibodiesCOVID-19Meta-analysis

Identifiers

PMID36907547
PMCPMC10005838
OpenAlexW4323830934

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.