Evidence map›Paper›PMID 38444741›Full record

ReviewNanotheranostics2024

Recurring SARS-CoV-2 variants: an update on post-pandemic, co-infections and immune response.

Ashmit Verma, Anjali Manojkumar, Anupam Dhasmana, Manish K Tripathi, Meena Jaggi, Subhash C Chauhan, Deepak S Chauhan, Murali M Yallapu

Abstract readReview
In one paragraph

Review in Nanotheranostics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ashmit VermaDivyasampark iHub Roorkee for Devices Materials and Technology Foundation, Indian Institute of Technology Roorkee, Uttarakhand, 247667, India.
Anjali ManojkumarDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.
Anupam DhasmanaDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.
Manish K TripathiDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.
Meena JaggiDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.
Deepak S ChauhanFaculté de Pharmacie, Université de Montréal, Montréal H3C 3J7, QC, Canada.
Murali M YallapuDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, Texas 78504, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The post-pandemic era following the global spread of the SARS-CoV-2 virus has brought about persistent concerns regarding recurring coinfections. While significant strides in genome mapping, diagnostics, and vaccine development have controlled the pandemic and reduced fatalities, ongoing virus mutations necessitate a deeper exploration of the interplay between SARS-CoV-2 mutations and the host's immune response. Various vaccines, including RNA-based ones like Pfizer and Moderna, viral vector vaccines like Johnson & Johnson and AstraZeneca, and protein subunit vaccines like Novavax, have played critical roles in mitigating the impact of COVID-19. Understanding their strengths and limitations is crucial for tailoring future vaccines to specific variants and individual needs. The intricate relationship between SARS-CoV-2 mutations and the immune response remains a focus of intense research, providing insights into personalized treatment strategies and long-term effects like long-COVID. This article offers an overview of the post-pandemic landscape, highlighting emerging variants, summarizing vaccine platforms, and delving into immunological responses and the phenomenon of long-COVID. By presenting clinical findings, it aims to contribute to the ongoing understanding of COVID-19's progression in the aftermath of the pandemic.

Indexed as

CoinfectionCOVID-19HumansPandemicsPost-Acute COVID-19 SyndromeProtein Subunit VaccinesSARS-CoV-2Protein Subunit Vaccines

Identifiers

PMID38444741
PMCPMC10911975

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.