Evidence map›Paper›PMID 41080176›Full record

ArticleFrontiers in nutrition2025

Validation of GLIM criteria for diagnosis of malnutrition in stroke survivors.

Norah Alshammari, Alanoud Aladel, Mahmoud Desoky, Danyah Althuneyyan, Hissah Altimyat, Fatimah Alsoqeah, Mahmoud M A Abulmeaty

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Norah Alshammari *Community Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Alanoud Aladel *Community Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Mahmoud DesokyInternal Medicine Department, Sultan Bin Abdulaziz Humanitarian City, Riyadh, Saudi Arabia.
Danyah AlthuneyyanCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Hissah AltimyatCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Fatimah AlsoqeahClinical Nutrition Department, Sultan Bin Abdulaziz Humanitarian City, Riyadh, Saudi Arabia.
Mahmoud M A AbulmeatyCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: Nutritional assessment is essential for delivering optimal care and achieving the best possible outcomes for stroke survivors. The Global Leadership Initiative on Malnutrition (GLIM) proposed new consensus criteria for diagnosing malnutrition in 2018. These criteria are anticipated to effectively predict significant outcomes related to malnutrition. This study aims to validate the GLIM criteria as a diagnostic tool for malnutrition among Saudi stroke survivors, comparing it with the subjective global assessment (SGA). Methods: A cross-sectional study was conducted involving 104 adult stroke survivors. Nutritional risk was first evaluated using the Nutrition Risk Screening 2002 (NRS-2002) as an initial step of the GLIM criteria, followed by diagnosis using both the GLIM criteria and the SGA. The level of agreement between the tools was assessed using the kappa coefficient ( Results: A total of 104 stroke survivors were evaluated, with an average age of 61.0 years (interquartile range (IQR): 15 years), and 73.1% were men. According to the GLIM criteria, malnutrition was identified in 47.1% of the survivors, while the SGA indicated malnutrition in 51.9%. The GLIM criteria demonstrated acceptable performance, with an AUC of 0.819 (95% CI, 0.734-0.905), a sensitivity of 78.2%, and a specificity of 85.7%. The level of agreement between the two tools was substantial ( Conclusion: The GLIM criteria for diagnosing malnutrition showed good criterion validity and appear to be a reliable approach for assessing nutritional status among stroke survivors.

Indexed as

GLIMmalnutritionnutrition assessmentstroke survivorsvalidity

Identifiers

PMID41080176
PMCPMC12510811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.