Evidence map›Paper›PMID 37091115›Full record

ArticleJournal of patient-centered research and reviews2023

Exploring the Possible Phenomenon of Viral Interference Between the Novel Coronavirus and Common Respiratory Viruses.

Spencer Deleveaux, Alexandria Clarke-Kregor, Xavier Fonseca-Fuentes, Essam Mekhaiel

Open access · diamondAbstract read
In one paragraph

Article in Journal of patient-centered research and reviews, 2023. 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
1.9field-weighted citation impact, top 14% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Polymorphisms in the ACE I/D (Tropical medicine and infectious disease · 2024
    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

4 authors at 1 institution in 1 country.

Spencer DeleveauxDepartment of Medicine, Advocate Christ Medical Center, Oak Lawn, IL.
Alexandria Clarke-KregorDepartment of Medicine, Advocate Christ Medical Center, Oak Lawn, IL.
Xavier Fonseca-FuentesDepartment of Pulmonary and Critical Care, Advocate Christ Medical Center, Oak Lawn, IL.
Essam MekhaielDepartment of Pulmonary and Critical Care, Advocate Christ Medical Center, Oak Lawn, IL.
Advocate Christ Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the peak of the 2021 wave of the SARS-CoV-2 alpha variant in North America, there was concern for a superimposed wave of viral respiratory infections. There was, however, an apparent shift in the usual epidemiology of these pathogens, especially during the traditional influenza season from approximately October 2020 to March 2021. This article seeks to briefly describe the epidemiology of notable respiratory pathogens during the first wave of the COVID-19 pandemic and to focus on one possible factor for the trends observed. There are many contributory elements to the observed viral trends, but in particular, we present a synopsis of the data supporting the phenomenon of viral interference in relation to the clinically relevant early variants of SARS-CoV-2 (ancestral lineage, alpha, delta, omicron). Viral interference has been implicated in previous pandemics and is currently not well characterized in the setting of the COVID-19 pandemic. It is important to understand this dynamic and its effect on the predominant variants of COVID-19 thus far so that we may appropriately consider its possible influence in patient pathology going forward.

Indexed as

coronavirusCOVID-19influenzapandemicrespiratory pathogensrhinovirusviral interference

Identifiers

PMID37091115
PMCPMC10117529
OpenAlexW4366337344

What OpenQuestion holds

Textmetadata
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.