Evidence map›Paper›PMID 34881430›Full record

SynthesisAlimentary pharmacology & therapeutics2022

Systematic review with meta-analysis: COVID-19 outcomes in patients receiving anti-TNF treatments.

Georgios Kokkotis, Konstantina Kitsou, Ioannis Xynogalas, Vana Spoulou, Gkikas Magiorkinis, Ioannis Trontzas, Panagiotis Trontzas, Garyphallia Poulakou, Konstantinos Syrigos, Giorgos Bamias

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Alimentary pharmacology & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.9field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Cytokine storm.Nature reviews. Disease primers · 2026
    Review
  4. Article
  5. Article
  6. Induction of PD-1 and CD44 in CD4Journal of virology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. SARS-CoV-2 mouse adaptation selects virulence mutations that cause TNF-driven age-dependent severe disease with human correlates.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Georgios KokkotisGI Unit, 3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Konstantina KitsouImmunobiology and Vaccinology Research Lab, First Department of Paediatrics, "Aghia Sophia" Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Ioannis Xynogalas3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Vana SpoulouImmunobiology and Vaccinology Research Lab, First Department of Paediatrics, "Aghia Sophia" Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Gkikas MagiorkinisDepartment of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Ioannis Trontzas3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Panagiotis Trontzas3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Garyphallia Poulakou3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Konstantinos Syrigos3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece.
Giorgos BamiasGI Unit, 3rd Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-5492-5717
National and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence suggests a beneficial effective of tumour necrosis factor-alpha (TNF-α) inhibitors on the outcomes of COVID-19 disease, which, however is not validated by all studies.

aimsTo perform a systematic review and meta-analysis of existing reports to investigate the impact of anti-TNF treatments on the clinical outcomes of COVID-19 patients.

methodsA systematic search at PubMed and SCOPUS databases using specific keywords was performed. All reports of COVID-19 outcomes for patients receiving anti-TNF therapy by September 2021 were included. Pooled effect measures were calculated using a random-effects model. The Newcastle Ottawa Scale for observational studies was used to assess bias. Studies that were not eligible for meta-analysis were described qualitatively.

resultsIn total, 84 studies were included in the systematic review, and 35 were included in the meta-analysis. Patients receiving anti-TNF treatment, compared to non-anti-TNF, among COVID-19 cases had a lower probability of hospitalisation (eight studies, 2555 patients, pooled OR = 0.53, 95% CI: 0.42-0.67, I

conclusionsTNF-α inhibitors are associated with a lower probability of hospitalisation and severe COVID-19 when compared to any other treatment for an underlying inflammatory disease.

Indexed as

COVID-19Tumor Necrosis Factor InhibitorsComorbidityHumansIntensive Care UnitsSARS-CoV-2Tumor Necrosis Factor Inhibitors

Identifiers

PMID34881430
OpenAlexW4200584543

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.