Trial reportAnnals of medicine2021
Effect of a genetically engineered interferon-alpha versus traditional interferon-alpha in the treatment of moderate-to-severe COVID-19: a randomised clinical trial.
Trial report in Annals of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05381363 (Inhaled Interferon α2b Treatment in Mild-to-moderate COVID-19 Infected Children), which is not on this map. Cited by 19 papers, 4 of them syntheses that pooled 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.
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.
Inhaled Interferon α2b Treatment in Mild-to-moderate COVID-19 Infected Children
Who cites it
19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Drug treatments for mild or moderate covid-19: systematic review and network meta-analysis.BMJ (Clinical research ed.) · 2025Pooled it
- The Fragility of Statistically Significant Results in Randomized Clinical Trials for COVID-19.JAMA network open · 2022Pooled it
- Efficacy of antiviral therapies for COVID-19: a systematic review of randomized controlled trials.BMC infectious diseases · 2022Pooled it
- Prevalence of comorbid tuberculosis amongst COVID-19 patients: A rapid review and meta-analysis.International journal of clinical practice · 2021Pooled it
- CD4 T-cell platform for delivering interferons as an antiviral countermeasure with a focus on SARS-CoV-2.Molecular medicine (Cambridge, Mass.) · 2026Article
- Article
- Identification of Suitable Drug Combinations for Treating COVID-19 Using a Novel Machine Learning Approach: The RAIN Method.Life (Basel, Switzerland) · 2022Review
- Immune-based therapeutic approaches in COVID-19.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022Review
- Interferon Treatments for SARS-CoV-2: Challenges and Opportunities.Infectious diseases and therapy · 2022Review
- SARS-CoV-2 Omicron variant virus isolates are highly sensitive to interferon treatment.Cell discovery · 2022Article
- Specialized interferon action in COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Therapeutic role of immunomodulators during the COVID-19 pandemic- a narrative review.Postgraduate medicine · 2022Review
- Article
- Current utilization of interferon alpha for the treatment of coronavirus disease 2019: A comprehensive review.Cytokine & growth factor reviews · 2022Review
- Association of Disease-Modifying Therapies with COVID-19 Susceptibility and Severity in Patients with Multiple Sclerosis: A Systematic Review and Network Meta-Analysis.Multiple sclerosis international · 2022Review
- The immunology and immunotherapy for COVID-19.Expert reviews in molecular medicine · 2021Review
- Beyond Vaccines: Clinical Status of Prospective COVID-19 Therapeutics.Frontiers in immunology · 2021Review
- Review: The Nose as a Route for Therapy. Part 2 Immunotherapy.Frontiers in allergy · 2021Review
- Immunology of SARS-CoV-2 infections and vaccines.Advances in immunologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are few effective therapies for coronavirus disease 2019 (COVID-19) upon the outbreak of the pandemic. To compare the effectiveness of a novel genetically engineered recombinant super-compound interferon (rSIFN-co) with traditional interferon-alpha added to baseline antiviral agents (lopinavir-ritonavir or umifenovir) for the treatment of moderate-to-severe COVID-19.
methodIn this multicenter randomized (1:1) trial, patients hospitalized with moderate-to-severe COVID-19 received either rSIFN-co nebulization or interferon-alpha nebulization added to baseline antiviral agents for no more than 28 days. The primary endpoint was the time to clinical improvement. Secondary endpoints included the overall rate of clinical improvement assessed on day 28, the time to radiological improvement and virus nucleic acid negative conversion.
resultsA total of 94 patients were included in the safety set (46 patients assigned to rSIFN-co group, 48 to interferon-alpha group). The time to clinical improvement was 11.5 days versus 14.0 days (95% CI 1.10 to 2.81, CONCLUSIONS AND RELEVANCE: rSIFN-co was associated with a shorter time of clinical improvement than traditional interferon-alpha in the treatment of moderate-to-severe COVID-19 when combined with baseline antiviral agents. rSIFN-co therapy alone or combined with other antiviral therapy is worth to be further studied.Key messagesThere are few effective therapies for coronavirus disease 2019 (COVID-19) upon the outbreak of the pandemic. Interferon alphas, by inducing both innate and adaptive immune responses, have shown clinical efficacy in treating severe acute respiratory syndrome coronavirus and Middle East respiratory syndrome coronavirus.In this multicenter, head-to-head, randomized, clinical trial which included 94 participants with moderate-to-severe COVID-19, the rSIFN-co plus antiviral agents (lopinavir-ritonavir or umifenovir) was associated with a shorter time of clinical improvement than interferon-alpha plus antiviral agents.
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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.