ArticleNutrients2023
Malnutrition Screening Tools Are Not Sensitive Enough to Identify Older Hospital Patients with Malnutrition.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between controlling nutritional status score and the prognosis of patients with acute myocardial infarction: a systematic review and meta-analysis.Frontiers in nutrition · 2024Pooled it
- Under-Identification of Malnutrition Within an Inpatient Hospital Setting.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026Article
- Nutritional screening within the GLIM procedure-Part 1: Development of a conceptual definition of risk of malnutrition using a modified Delphi procedure.JPEN. Journal of parenteral and enteral nutrition · 2026Article
- Nutritional screening within the GLIM procedure-Part 2: Operationalization of the concept risk of malnutrition using a modified Delphi procedure.JPEN. Journal of parenteral and enteral nutrition · 2026Article
- MNA-SF screening and GLIM diagnosis of malnutrition in geriatric patients - A cross-sectional multicenter study.The journal of nutrition, health & aging · 2026Observational
- The intake-adequacy gap in dysphagia nutrition: texture-modified foods, nutrient delivery and realised intake in older adults.Frontiers in nutrition · 2026Review
- eCONUT-UC for nutritional screening and malnutrition identification in ulcerative colitis.Frontiers in nutrition · 2026Article
- A prospective study on age-specific normative values of the prognostic nutritional index and the effects of malnutrition on spinal alignment using health checkup data of elderly residents.Asian spine journal · 2025Article
- Diagnostic performance of mini nutritional Assessment-Short form against the global leadership initiative on malnutrition criteria.Scientific reports · 2025Article
- Article
- The spectrum of hypophosphatemia in internal medicine: lessons from a Greek population study.Journal of endocrinological investigation · 2025Article
- GLIM consensus approach to diagnosis of malnutrition: A 5-year update.JPEN. Journal of parenteral and enteral nutrition · 2025Review
- Diagnostic Accuracy of the Malnutrition Universal Screening Tool and Mini Nutritional Assessment Short-Form in Outpatients With Pulmonary Hypertension.Pulmonary circulation · 2025Article
- Prevalence, risk factors, and outcomes of malnutrition in older adults hospitalized with community-acquired pneumonia: a retrospective study.Frontiers in medicine · 2025Article
- Article
- Article
- Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study evaluates the concurrent validity of five malnutrition screening tools to identify older hospitalized patients against the Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria as limited evidence is available. The screening tools Short Nutritional Assessment Questionnaire (SNAQ), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), Mini Nutritional Assessment-Short Form (MNA-SF), and the Patient-Generated Subjective Global Assessment-Short Form (PG-SGA-SF) with cut-offs for both malnutrition (conservative) and moderate malnutrition or risk of malnutrition (liberal) were used. The concurrent validity was determined by the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the level of agreement by Cohen's kappa. In total, 356 patients were included in the analyses (median age 70 y (IQR 63-77); 54% male). The prevalence of malnutrition according to the GLIM criteria without prior screening was 42%. The conservative cut-offs showed a low-to-moderate sensitivity (32-68%) and moderate-to-high specificity (61-98%). The PPV and NPV ranged from 59 to 94% and 67-86%, respectively. The Cohen's kappa showed poor agreement (k = 0.21-0.59). The liberal cut-offs displayed a moderate-to-high sensitivity (66-89%) and a low-to-high specificity (46-95%). The agreement was fair to good (k = 0.33-0.75). The currently used screening tools vary in their capacity to identify hospitalized older patients with malnutrition. The screening process in the GLIM framework requires further consideration.
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