ArticleExpert opinion on biological therapy2020
Immunotherapy for SARS-CoV-2: potential opportunities.
Article in Expert opinion on biological therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Interferon therapy in patients with SARS, MERS, and COVID-19: A systematic review and meta-analysis of clinical studies.European journal of pharmacology · 2021Pooled it
- A systematic review of pregnant women with COVID-19 and their neonates.Archives of gynecology and obstetrics · 2021Pooled it
- Computational drug discovery and repurposing for the treatment of COVID-19: A systematic review.Bioorganic chemistry · 2021Pooled it
- Clinical Trials of Mesenchymal Stem Cells for the Treatment of COVID 19.Current stem cell research & therapy · 2024Review
- Mental Healthcare in Pediatrics During the COVID-19 Pandemic: A Call for International Public Health Action.Advances in experimental medicine and biology · 2024Review
- Natural killer cells and their exosomes in viral infections and related therapeutic approaches: where are we?Cell communication and signaling : CCS · 2023Review
- Status and Developing Strategies for Neutralizing Monoclonal Antibody Therapy in the Omicron Era of COVID-19.Viruses · 2023Review
- Biomimetic nanoplasmonic sensor for rapid evaluation of neutralizing SARS-CoV-2 monoclonal antibodies as antiviral therapy.Biosensors & bioelectronics · 2023Article
- Natural killer cells in COVID-19: from infection, to vaccination and therapy.Future virology · 2023Review
- Omalizumab may protect allergic patients against COVID-19: A systematic review.The World Allergy Organization journal · 2023Review
- Computed tomography scan in COVID-19: a systematic review and meta-analysis.Polish journal of radiology · 2022Review
- The Immunopathobiology of SARS-CoV-2 Infection.FEMS microbiology reviews · 2021Article
- An outlook on antigen-specific adoptive immunotherapy for viral infections with a focus on COVID-19.Cellular immunology · 2021Review
- Immune checkpoint inhibition in COVID-19: risks and benefits.Expert opinion on biological therapy · 2021Article
- Altered immunoemotional regulatory system in COVID-19: From the origins to opportunities.Journal of neuroimmunology · 2021Review
- Targeting Runt-Related Transcription Factor 1 Prevents Pulmonary Fibrosis and Reduces Expression of Severe Acute Respiratory Syndrome Coronavirus 2 Host Mediators.The American journal of pathology · 2021Article
- Biosensing surfaces and therapeutic biomaterials for the central nervous system in COVID-19.Emergent materials · 2021Review
- Human Coronaviruses SARS-CoV, MERS-CoV, and SARS-CoV-2 in Children.Journal of pediatric nursingReview
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.