Evidence map›Paper›PMID 35031937›Full record

ArticleIrish journal of medical science2022

Nutrition improves COVID-19 clinical progress.

Ayşegül Sümer, Lütfiye Nur Uzun, Yağmur Demirel Özbek, Hümeyra Hançer Tok, Canan Altınsoy

Open access · bronzeAbstract read
In one paragraph

Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Ayşegül SümerDepartment of Nursing, Faculty of Health Sciences, Recep Tayyip Erdogan University, Rize, Turkey. aysegul.sumer@erdogan.edu.tr.ORCID http://orcid.org/0000-0003-4918-4368
Lütfiye Nur UzunBolu İzzet Baysal Hospital, Koroglu Unit, Bolu, Turkey.
Yağmur Demirel ÖzbekDepartment Of Nutrition And Dietetics, Faculty of Health Sciences, Recep Tayyip Erdogan University, Rize, Turkey.
Hümeyra Hançer Tokİzzet Baysal Mental Health And İllness Hospital, Bolu, Turkey.
Canan AltınsoyDepartment Of Nutrition And Dietetics, Faculty of Health Sciences, Recep Tayyip Erdogan University, Rize, Turkey.
Recep Tayyip Erdoğan University · TRBolu Abant İzzet Baysal University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrition is a basic need and is crucial for the persistence of good health. This awareness has increased since December 2019 during the pandemic that the world is still facing. The importance of nutrition in infectious diseases was emphasized but the relationship between the severity of symptoms and nutrition status of individuals was not examined. This study compared the nutrition status of patients with COVID-19 admitted to the emergency service and the clinical severity of the disease. Based on the nutrition status of the 337 patients included in the study, 87.2% (294) of the patients were in the low-risk group while 12.8% (43) were in the high-risk group in terms of malnutrition. In the analysis conducted to examine the effect of nutrition on the severity of disease, the relationship between NRS 2002 and dyspnea, cough, weakness, fever, and other symptoms was statistically significant. It was concluded that healthy nutrition is crucial during the pandemic, and it is necessary to consider nutrition improvement as a way to cope with emerging viral infections.

Indexed as

COVID-19MalnutritionHumansNutritional StatusNutrition AssessmentRisk FactorsClinical symptomsCOVID-19NRS 2002Nutritional status

Identifiers

PMID35031937
PMCPMC8760115
OpenAlexW4205660389

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.