ReviewWorld journal of virology2025
COVID-19 management in patients with comorbid conditions.
Review in World journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mortality Assessment in Patients with Cardiovascular Disease and COVID-19: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2026Pooled it
- Increase in Healthcare-Associated Infections: Is COVID-19 Responsible? A Narrative Review.Microorganisms · 2026Review
- Dysnatremia and Endocrine Alterations in Hospitalized COVID-19 Patients: Markers of Systemic Stress Rather than Independent Predictors of Outcomes.Biomedicines · 2026Article
- Efficacy and Safety of Nirmatrelvir/Ritonavir and Molnupiravir in Non-Hospitalized Patients with COVID-19: A Single-Center Retrospective Study.Medicina (Kaunas, Lithuania) · 2026Article
- Evaluation of glucose metabolism, endocrine, and renal functions following vaccination in post-COVID-19 individuals: a longitudinal retrospective single-center cohort study.BMC infectious diseases · 2025Article
- Editorial: Current molecular, immunological, pathological and clinical aspects of pathogenic infections.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The novel coronavirus disease 2019 (COVID-19) causes serious respiratory illness and related disorders. Vulnerable populations, including those with chronic obstructive pulmonary disease, heart disease, diabetes, chronic kidney disease, obesity, and the elderly, face an increased risk of severe complications. As the pandemic evolves, various diagnostic techniques are available to detect severe acute respiratory distress syndrome (SARS-CoV-2), including clinical presentation, rapid antigen/antibody testing, molecular testing, supplemental laboratory analysis, and imaging. Based on peer-reviewed data, treatment options include convalescent plasma transfusion, corticosteroids, antivirals, and immunomodulatory medications. Convalescent plasma therapy, historically used in outbreaks like Middle East respiratory syndrome, Ebola, and SARS, is suggested by the World Health Organization for critically ill COVID-19 patients when vaccines or antiviral drugs are unavailable. Neutralizing antibodies in convalescent plasma help control viral load and improve patient outcomes, especially when administered early, though effectiveness varies. The United States Food and Drug Administration has authorized its emergency use for severe COVID-19 cases, but potential risks such as transfusion reactions and transfusion-related acute lung injury require further investigation to establish definitive efficacy. Antiviral agents like Remdesivir, an adenosine nucleotide analog, inhibit viral RNA polymerase and have shown efficacy in reducing COVID-19 severity, leading to its emergency use authorization for hospitalized patients. Other antivirals like ritonavir, lopinavir, and umifenovir disrupt viral replication and entry, but their effectiveness against SARS-CoV-2 remains under investigation. Dexamethasone, a corticosteroid, has been used in critically ill COVID-19 patients to reduce inflammation and prevent respiratory failure, as shown in the RECOVERY trial. Other immunosuppressants like ruxolitinib, baricitinib, and colchicine help modulate the immune response, reducing cytokine storms and inflammation-related complications. However, corticosteroids carry risks such as hyperglycemia, immunosuppression, and delayed viral clearance, requiring careful administration. Systematic reviews of clinical studies revealed that hydroxychloroquine with or without azithromycin did not decrease viral load nor reduce the severity of symptoms, but increased mortality among acutely hospitalized patients. There was no improvement in patients' clinical conditions after 15 days compared to standard treatment. The United States Food and Drug Administration has revoked the authorization for the use of hydroxychloroquine in COVID-19 patients due to the null benefit-risk balance. Monoclonal antibodies like itolizumab, gimsilumab, sarilumab, and tocilizumab are being studied for their ability to reduce the severe inflammatory response in COVID-19 patients, particularly cytokine release syndrome and acute respiratory distress syndrome. These antibodies target specific immune pathways to decrease pro-inflammatory cytokines, with some showing promising results in clinical trials, though their use remains under investigation. The Clustered Regularly Interspaced Short Palindromic Repeats/Cas13 family of enzymes, sequenced from many COVID-19-positive patients, can potentially inhibit SARS-CoV-2 replication, cleave the RNA genome, and aid in the amplification of the genome assay. Cas13 can also target emerging pathogens
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What Socratic 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 Socratic graph.