Evidence map›Paper›PMID 36839255›Full record

ArticleNutrients2023

GLIM Criteria for Assessment of Malnutrition in Saudi Patients with Type 2 Diabetes.

Sondos Albukhari, Mahmoud M A Abulmeaty, Abdullah M Alguwaihes, Mustafa Shoqeair, Dara Aldisi, Adel Alhamdan

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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.

Sondos AlbukhariCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh 11362, Saudi Arabia.
Mahmoud M A AbulmeatyCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh 11362, Saudi Arabia.ORCID 0000-0002-1779-0091
Abdullah M AlguwaihesDepartment of Medicine, College of Medicine, King Saud University, Riyadh 12372, Saudi Arabia.ORCID 0000-0001-5800-9970
Mustafa ShoqeairClinical Nutrition Department, King Khalid University Hospital, King Saud University Medical City, Riyadh 12372, Saudi Arabia.
Dara AldisiCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh 11362, Saudi Arabia.
Adel AlhamdanCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh 11362, Saudi Arabia.ORCID 0000-0002-6421-4564

Funding

the Deputyship for Research& Innovation, Ministry of Education in Saudi Arabia, project no. (IFKSURG-761)
6 · The paper itself

Abstract

The Global Leadership Initiative on Malnutrition (GLIM) is a new approach established for the assessment of malnutrition. This study aimed to validate the GLIM for the diagnosis of malnutrition in patients with type 2 diabetes mellitus (T2DM) in Saudi Arabia, using the Subjective Global Assessment (SGA) as a reference. In addition, the association between the GLIM criteria and vascular complications in those patients was examined. A cross-sectional study was conducted on 101 patients with T2DM. The level of agreement between the GLIM and SGA tools was calculated using the kappa coefficient (κ). A receiver operating characteristic curve was used to determine the sensitivity and specificity of the GLIM. In addition, binary logistic regression was performed to investigate the association between each GLIM criterion and T2DM vascular complications. According to both the GLIM and the SGA, malnutrition was found in 15.8% and 17.8% of patients, respectively. The GLIM criteria achieved a very good level of accuracy (AUC = 0.877). The agreement between the tools was substantial (κ = 0.778). The 'disease/inflammation' criterion of the GLIM was significantly associated with macrovascular complications. To conclude, the GLIM criteria for diagnosis of malnutrition presented satisfactory levels of validity, and as such are acceptable for assessing the nutritional status of patients with T2DM.

Indexed as

Diabetes Mellitus, Type 2MalnutritionCross-Sectional StudiesHumansLeadershipNutritional StatusNutrition AssessmentSaudi ArabiaGLIMmalnutritiontype 2 diabetesvalidation

Identifiers

PMID36839255
PMCPMC9959813

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