Evidence map›Paper›PMID 37082434›Full record

ReviewPostepy psychiatrii neurologii2021

SARS-CoV-2: Nutritional determinants of reducing the risk of infection of the central nervous system.

Lucjan Szponar, Ewa Matczuk

Open access · diamondAbstract readReview
In one paragraph

Review in Postepy psychiatrii neurologii, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Lucjan SzponarNarodowy Instytut Zdrowia Publicznego PZH - Państwowy Instytut Badawczy, Warszawa, Polska.
Ewa MatczukNarodowy Instytut Zdrowia Publicznego PZH - Państwowy Instytut Badawczy, Warszawa, Polska.
National Institute of Public Health · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study is to assess the nutritional determinants that may contribute to potentially reducing the risk of COVID-19 central nervous system infection or, if infection occurs, to experience it in a mild form. Views: In this study, the authors collected data on nutrients that support traditional drug treatment and potentially reduce central nervous system infections, while also indicating the role they play in the central nervous system (CNS). The article points out that long chain polyunsaturated fatty acids polyunsaturated fatty acids, probiotics and prebiotics, as well as vitamin D selenium and zinc play a role in supporting immune function and reducing the risk of CNS infections. It should be noted that, due to the novel nature of the SARS-CoV-2 virus, limited number of studies evaluating the potential impact of dietary components on COVID-19 risk reduction or their adjunctive effect on treatment are available. Therefore, further clinical studies are needed to confirm these results. Conclusions: The dietary habits and nutrients described in the article support medical care, including vaccination and other therapies. They are likely to reduce the risk of CNS SARS-CoV-2 infection. The functioning of the physiological gut-brain axis supported by probiotics, polyphenols, certain minerals such as zinc, selenium and vitamin D consumed with the diet, can probably reduce the cost of COVID-19 treatment on the CNS. Also, nutrients other than those mentioned in the article, including vitamins A, E, B

Indexed as

COVID-19LC-PUFAseleniumvitamin Dzinc

Identifiers

PMID37082434
PMCPMC9881625
OpenAlexW3195671436

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.