ReviewLife (Basel, Switzerland)2021
Efficacy of Different Types of Therapy for COVID-19: A Comprehensive Review.
Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 18 citations in OpenAlex.
- Features of Myocarditis: Morphological Differential Diagnosis in Post-COVID-19 Children.Diagnostics (Basel, Switzerland) · 2023Review
- Ferritin and myalgic encephalomyelitis/chronic fatigue syndrome in post COVID-19, an unexpected facet of the hyperferritinemic syndrome?Journal of psychosomatic research · 2023Article
- Severe Course of COVID-19 and Long-COVID-19 in Children: Difficulties in Diagnosis.Life (Basel, Switzerland) · 2023Article
- A Clinical Update on SARS-CoV-2: Pathology and Development of Potential Inhibitors.Current issues in molecular biology · 2023Review
- Cardiac Involvement in Children Affected by COVID-19: Clinical Features and Diagnosis.Diagnostics (Basel, Switzerland) · 2022Review
- COVID-19 Vaccines: An Updated Overview of Different Platforms.Bioengineering (Basel, Switzerland) · 2022Review
- A Multi-Center, Open-Label, Randomized Controlled Trial to Evaluate the Efficacy of Convalescent Plasma Therapy for Coronavirus Disease 2019: A Trial Protocol (COVIPLA-RCT).Life (Basel, Switzerland) · 2022Article
- The Role of Exposomes in the Pathophysiology of Autoimmune Diseases II: Pathogens.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Review
- Immunogenicity and adverse events of the COVID-19 vaccines in healthy and individuals with autoimmune diseases in an Iranian population.International journal of immunopathology and pharmacologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A new coronavirus disease (COVID-19) has already affected millions of people in 213 countries. The possibilities of treatment have been reviewed in recent publications but there are many controversial results and conclusions. An analysis of the studies did not reveal a difference in mortality level between people treated with standard therapy, such as antiviral drugs and dexamethasone, and new antiviral drugs/additional immune therapy. However, most studies describe clinical improvement and a decrease in mortality among patients with severe and critical conditions, with the early initiation of additional immune therapy. Possible new targets based on viral life cycles were considered. Unfortunately, the data analysis on the efficacy of different medicine and therapy regimens among patients with COVID-19, showed little success in decreasing the mortality rate in all treatment methods. Some efficacy has been shown with an immunosuppressive therapy in small patient samples, but when a larger number of patients were analyzed the data did not differ significantly from the control groups.
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.