ReviewReviews in medical virology2020
Immune responses and pathogenesis of SARS-CoV-2 during an outbreak in Iran: Comparison with SARS and MERS.
Review in Reviews in medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 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
119 citing papers in PubMed, 2 syntheses or guidelines pooled it, 222 citations in OpenAlex.
- A systematic meta-analysis of immune signatures in patients with COVID-19.Reviews in medical virology · 2021Pooled it
- The immune system as a target for therapy of SARS-CoV-2: A systematic review of the current immunotherapies for COVID-19.Life sciences · 2020Pooled it
- Cytokine release syndrome in COVID-19: Innate immune, vascular, and platelet pathogenic factors differ in severity of disease and sex.Journal of leukocyte biology · 2021Trial
- Systemic inflammatory indices comprising monocytes provide a clinical significance for thyroid cancer identification.Scientific reports · 2025Article
- Comprehensive Genomic, Mutation, Phylogenetic, and Statistical Analysis of the Monkeypox Virus Across Multiple Countries.Indian journal of microbiology · 2025Article
- Humoral Immunity Profiling to Pandemic and Bat-Derived Coronavirus Variants: A Geographical Comparison.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Chemokine CCL2 and its receptor CCR2 in different age groups of patients with COVID-19.BMC immunology · 2024Article
- Potential protective association of the AA genotype and a allele of CXCR4 rs2228014 polymorphism with COVID-19 severity in adult egyptians.BMC infectious diseases · 2024Article
- Impact of SARS-CoV-2 infection on the cognitive functioning of patients institutionalized in nursing homes.BMC geriatrics · 2024Article
- After the Hurricane: Anti-COVID-19 Drugs Development, Molecular Mechanisms of Action and Future Perspectives.International journal of molecular sciences · 2024Review
- Article
- Immunomodulatory approaches in managing lung inflammation in COVID-19: A double-edge sword.Immunity, inflammation and disease · 2023Review
- Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.Scientific reports · 2023Article
- The relevant information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using the five-question approach (when, where, what, why, and how) and its impact on the environment.Environmental science and pollution research international · 2023Review
- Convalescent plasma (hyperimmune immunoglobulin) for COVID-19 management: An update.Process biochemistry (Barking, London, England) · 2023Review
- Assessment of the Interferon-Lambda-3 Polymorphism in the Antibody Response to COVID-19 in Older Adults Seropositive for CMV.Vaccines · 2023Article
- The Potential Effect of Royal Jelly on Biomarkers Related to COVID-19 Infection and Severe Progression.Advances in experimental medicine and biology · 2023Article
- Role of heparanase in ARDS through autophagy and exosome pathway (review).Frontiers in pharmacology · 2023Review
- Article
- Age- and Severity-Associated Humoral Immunity Response in COVID-19 Patients: A Cohort Study from Wuhan, China.Journal of clinical medicine · 2022Article
59 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
The beginning of 2020 has seen the emergence of COVID-19, an outbreak caused by a novel coronavirus, SARS-CoV-2, an important pathogen for humans. There is an urgent need to better understand this new virus and to develop ways to control its spread. In Iran, the first case of the COVID-19 was reported after spread from China and other countries. Fever, cough, and fatigue were the most common symptoms of this virus. In worldwide, the incubation period of COVID-19 was 3 to 7 days and approximately 80% of infections are mild or asymptomatic, 15% are severe, requiring oxygen, and 5% are critical infections, requiring ventilation. To mount an antiviral response, the innate immune system recognizes molecular structures that are produced by the invasion of the virus. COVID-19 infection induces IgG antibodies against N protein that can be detected by serum as early as day 4 after the onset of disease and with most patients seroconverting by day 14. Laboratory evidence of clinical patients showed that a specific T-cell response against SARS-CoV-2 is important for the recognition and killing of infected cells, particularly in the lungs of infected individuals. At present, there is no specific antiviral therapy for COVID-19 and the main treatments are supportive. In this review, we investigated the innate and acquired immune responses in patients who recovered from COVID-19, which could inform the design of prophylactic vaccines and immunotherapy for the future.
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.