Evidence map›Paper›PMID 39543481›Full record

SynthesisBMC infectious diseases2024

Identifying COVID-19 variant through symptoms profile: Would it be possible? A rapid review.

Fabiana Amaral Guarienti, Fernando Antônio Costa Xavier, Mateus Duarte Ferraz, Mariana Baltazar Bartelle, Rodrigo Pasa, Arthur Angonese, Gabriele Goulart Zanirati, Daniel Rodrigo Marinowic, Denise Cantarelli Machado

Abstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Fabiana Amaral GuarientiBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Fernando Antônio Costa XavierBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil. fxavier@pucrs.br.
Mateus Duarte FerrazBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Mariana Baltazar BartelleBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Rodrigo PasaBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Arthur AngoneseBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Gabriele Goulart ZaniratiBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Daniel Rodrigo MarinowicBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.
Denise Cantarelli MachadoBrain Institute of Rio Grande do Sul (InsCer), Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first outbreaks of coronavirus CoV, SARS-CoV and MERS-CoV have occurred in China and Saudi Arabia over the past decade, respectively. From the end of 2019, a great battle began by the world scientific community against SARS-CoV-2, the virus that caused COVID-19, a pathology that generated devastating consequences on all existing continents. Several mutations have already been detected in the structure of the virus, which have been responsible for the generation of many types of variants since the detection of the first COVID-19 virus identified in China. The worrisome mutations arising from the first genome of SARS-CoV-2 have been intensively studied. Some mutations increase the transmissibility of the disease through Spike, the protein responsible for binding the virus in the human cell. Among the numerous strains, the most discussed are called by the WHO as "variants of concern". This study aims to review if COVID-19 severity may be variant dependent. Our study found tree publications that associate severity of COVI-19 symptoms to different SARS-CoV-2 variants. The most part of publications do not establish which variant is being expressed during studies. More studies with this focus are needed for a better understanding of the disease and respective variants.

Indexed as

COVID-19SARS-CoV-2HumansMutationSeverity of Illness IndexCovid-19SARS-CoV2SeverityVariant

Identifiers

PMID39543481
PMCPMC11566187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.