ReviewVaccines2022
SARS-CoV-2 Variants, Current Vaccines and Therapeutic Implications for COVID-19.
Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.Systematic reviews · 2024Pooled it
- Serological response following COVID-19 vaccines in patients living with HIV: a dose-response meta-analysis.Scientific reports · 2023Pooled it
- A narrative review of SARS-CoV-2 variants and long COVID.Journal of thoracic disease · 2026Review
- Nucleocapsid protein enhances spike- and RBD-specific humoral and cellular immune responses in protein-based SARS-CoV-2 vaccine.BMC infectious diseases · 2026Article
- Special Issue: "Vaccination and Global Health".Vaccines · 2024Article
- A Meta-Analysis on the Association between Peptic Ulcer Disease and COVID-19 Severity.Vaccines · 2023Review
- Blood Biomarkers from the Emergency Department Disclose Severe Omicron COVID-19-Associated Outcomes.Microorganisms · 2023Article
- The Potential of Nanobodies for COVID-19 Diagnostics and Therapeutics.Molecular diagnosis & therapy · 2023Review
- Novel receptor, mutation, vaccine, and establishment of coping mode for SARS-CoV-2: current status and future.Frontiers in microbiology · 2023Review
- An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past two years, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused hundreds of millions of infections, resulting in an unprecedented pandemic of coronavirus disease 2019 (COVID-19). As the virus spreads through the population, ongoing mutations and adaptations are being discovered. There is now substantial clinical evidence that demonstrates the SARS-CoV-2 variants have stronger transmissibility and higher virulence compared to the wild-type strain of SARS-CoV-2. Hence, development of vaccines against SARS-CoV-2 variants to boost individual immunity has become essential. However, current treatment options are limited for COVID-19 caused by the SARS-CoV-2 variants. In this review, we describe current distribution, variation, biology, and clinical features of COVID-19 caused by SARS-CoV-2 variants (including Alpha (B.1.1.7 Lineage) variant, Beta (B.1.351 Lineage) variant, Gamma (P.1 Lineage) variant, Delta (B.1.617.2 Lineage) variant, and Omicron (B.1.1.529 Lineage) variant and others. In addition, we review currently employed vaccines in clinical or preclinical phases as well as potential targeted therapies in an attempt to provide better preventive and treatment strategies for COVID-19 caused by different SARS-CoV-2 variants.
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.