Evidence map›Paper›PMID 35631246›Full record

ArticleNutrients2022

Nutritional Risk Assessment Scores Effectively Predict Mortality in Critically Ill Patients with Severe COVID-19.

Constantin Bodolea, Andrada Nemes, Lucretia Avram, Rares Craciun, Mihaela Coman, Mihaela Ene-Cocis, Cristina Ciobanu, Dana Crisan

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  6. Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
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  13. Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
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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

8 authors at 2 institutions in 1 country.

Constantin BodoleaIntensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania.ORCID 0000-0001-7798-0762
Andrada NemesIntensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania.
Lucretia AvramFaculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.ORCID 0000-0003-2656-3234
Rares CraciunFaculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.ORCID 0000-0002-5872-8630
Mihaela ComanDepartment of Medical Imaging, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania.
Mihaela Ene-CocisIntensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania.
Cristina CiobanuIntensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania.
Dana CrisanFaculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROClinical Emergency Hospital Bucharest · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition predicts a worse outcome for critically ill patients. However, quick, easy-to-use nutritional risk assessment tools have not been adequately validated. AIMS AND

methodsThe study aimed to evaluate the role of four biological nutritional risk assessment instruments (the Prognostic Nutritional Index-PNI, the Controlling Nutritional Status Score-CONUT, the Nutrition Risk in Critically Ill-NUTRIC, and the modified NUTRIC-mNUTRIC), along with CT-derived fat tissue and muscle mass measurements in predicting in-hospital mortality in a consecutive series of 90 patients hospitalized in the intensive care unit for COVID-19-associated ARDS.

resultsIn-hospital mortality was 46.7% (

conclusionsPNI, CONUT, NUTRIC, and mNUTRIC are valuable nutritional risk assessment tools that can accurately predict mortality in critically ill patients with COVID-19-associated ARDS.

Indexed as

COVID-19Respiratory Distress SyndromeCritical IllnessHumansNutrition AssessmentRisk Assessmentacute respiratory distress syndromeCOVID-19critical careintensive caremalnutritionmortalitynutritional risk

Identifiers

PMID35631246
PMCPMC9144143
OpenAlexW4280570384

What OpenQuestion holds

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LicenceCC BY
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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.