Evidence map›Paper›PMID 34578858›Full record

ReviewNutrients2021

Covid 19: Diet Composition and Health.

Dorota Skrajnowska, Maja Brumer, Sylwia Kankowska, Magdalena Matysek, Natalia Miazio, Barbara Bobrowska-Korczak

Abstract readReview
In one paragraph

Review in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. No Influence of PreviousJournal of clinical medicine · 2022
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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

6 authors.

Dorota SkrajnowskaDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.ORCID 0000-0002-3658-0663
Maja BrumerDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.
Sylwia KankowskaDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.
Magdalena MatysekDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.
Natalia MiazioDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.
Barbara Bobrowska-KorczakDepartment of Bromatology, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland.ORCID 0000-0003-1617-2352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the disease coronavirus disease 2019 (COVID-19). The cumulative number of cases reported globally is now nearly 197 million and the number of cumulative deaths is 4.2 million (26 July to 1 August 2021). Currently we are focusing primarily on keeping a safe distance from others, washing our hands, and wearing masks, and the question of the effects of diet and diet-dependent risk factors remains outside the center of attention. Nevertheless, numerous studies indicate that diet can play an important role in the course of COVID-19. In this paper, based on select scientific reports, we discuss the structure and replication cycle of SARS-CoV-2, risk factors, dietary standards for sick patients, and the roles of the microbiome and dietary components supporting the immune system in preventing COVID-19.

Indexed as

Feeding BehaviorCOVID-19Gastrointestinal MicrobiomeHumansMicronutrientsNutritional SupportProbioticsRisk FactorsSARS-CoV-2Severity of Illness IndexVirus ReplicationMicronutrientsdefense mechanismdietary componentsnutritional statusvirus SARS-CoV-2

Identifiers

PMID34578858
PMCPMC8472186

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.