Evidence map›Paper›PMID 40146527›Full record

ArticleEuropean geriatric medicine2025

Which screening tool performs best in identifying malnutrition risk among hospitalized older adults with cardiovascular disease? A diagnostic accuracy study comparing six different screening tools with GLIM criteria.

Kevser Tarı Selcuk, Sedat Arslan, Ayça Aydın, Duygu Durmaz

Abstract readComparative Study
In one paragraph

Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 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

4 authors.

Kevser Tarı SelcukDepartment of Nutrition and Dietetics, Faculty of Health Science, Bandirma Onyedi Eylul University, Balikesir, Turkey. kselcuk@bandirma.edu.tr.ORCID http://orcid.org/0000-0003-1766-4914
Sedat ArslanDepartment of Nutrition and Dietetics, Faculty of Health Science, Bandirma Onyedi Eylul University, Balikesir, Turkey.ORCID http://orcid.org/0000-0002-3356-7332
Ayça AydınDepartment of Nutrition and Dietetics, Faculty of Health Science, Istanbul Okan University, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-9750-5678
Duygu DurmazDepartment of Cardiovascular Surgery, Faculty of Medicine, Bandirma Onyedi Eylul University, Balikesir, Turkey.ORCID http://orcid.org/0000-0001-9617-8046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to compare the performance of six different screening tools with the GLIM criteria in identifying malnutrition risk among older adults with cardiovascular diseases.

methodsIn this diagnostic accuracy study, data from 669 patients aged 65 and older, hospitalized at Bandırma Training and Research Hospital diagnosed with cardiovascular disease, were evaluated. The data were obtained using a questionnaire that included a Demographic Information Form, Global Leadership Initiative on Malnutrition (GLIM) Criteria, Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), Short Nutritional Assessment Questionnaire (SNAQ), Mini Nutritional Assessment-Short Form (MNA-SF), Nutritional Risk Screening-2002 (NRS-2002), and Graz Malnutrition Screening (GMS) tool. GLIM criteria were used as gold standard and six screening tools were used as index tests. Receiver Operating Characteristic (ROC) curve analysis was conducted to calculate the Area Under the Curve (AUC), and the sensitivity, specificity, accuracy, and Cohen's Kappa (κ) coefficient of the index tests were assessed.

resultsThe mean age of the patients was 75.5 ± 7.7 years, 55.2% were female. According to the GLIM criteria, the prevalence of malnutrition was calculated as 22.0%. The AUC calculated by ROC indicated that MST (AUC: 0.905) had excellent predictive value, while MUST (AUC: 0.874), SNAQ (AUC: 0.851), MNA-SF (AUC: 0.842), and GMS (AUC: 0.820) demonstrated good predictive value. Among the screening tools, GMS had the highest sensitivity (92.5%), whereas MNA-SF exhibited the highest specificity (91.6%). MNA-SF also demonstrated the highest agreement with the GLIM criteria (Cohen's κ: 66.8) and the highest accuracy (88.3%).

conclusionThis study found that the MNA-SF tool outperformed other comprehensive screening tools when evaluating malnutrition risk in light of the GLIM criteria.

Indexed as

Cardiovascular DiseasesGeriatric AssessmentMalnutritionMass ScreeningNutrition AssessmentAgedAged, 80 and overFemaleHospitalizationHumansMaleNutritional StatusPrevalenceRisk AssessmentROC CurveSensitivity and SpecificityCardiovascular diseaseGLIM criteriaMalnutritionNutritional screening tools

Identifiers

PMID40146527
PMCPMC12378844

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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.