Evidence map›Paper›PMID 41214556›Full record

Observational studyBMC geriatrics2025

Predictive performance of GLIM with different nutritional risk screening tools in 5-year adverse health outcomes among older hospitalized patients: a comparative study.

Xin Li, Dan Qiu, Junzhuo Li

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Xin LiDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Dan QiuDepartment of Geriatrics, Laboratory of Research and Translation for Geriatric Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Junzhuo Li, Chongqing Jiulongpo District Yuzhou Road Street Community Health Service Center, Chongqing, People's Republic of China. 2806263165@qq.com.

Funding

Chongqing Medical Key Discipline and Regional Medical Key Discipline Development Project 0201【2022】No. 144 202325
6 · The paper itself

Abstract

backgroundGlobal Leadership Initiative on Malnutrition (GLIM) has proposed a two-step approach for malnutrition diagnosis: screening with any validated nutritional screening tool (NST) to identify ‘at-risk’ patients, followed by detailed nutritional assessment to diagnose malnutrition severity and grade it. Given the existence of multiple validated NSTs, this study aims to compare the predictive relationships between GLIM and different nutritional screening tools on 5-year adverse health outcomes (mortality, readmission, and falls) among elderly hospitalized patients.

methodsRetrospective, single-center, observational study from January 2015 to February 2020.A total 2001 elderly hospitalized patients. Multiple nutritional screening tools were evaluated at admission. Nutritional status was assessed using GLIM criteria.Cox regression and logistic regression analysis was performed to examine the predictive performance of GLIM criteria on 5-year adverse health outcomes (mortality, readmission, and falls).

resultsThe prevalence of malnutrition varied from 16.44% to 46.08%, depending on the nutritional screening tool used for classification. During the 5-year follow-up period, 203 patients (10.14%) died, 458 patients (22.88%) experienced at least one fall, and 995 patients (49.73%) were readmitted to hospital at least once. GLIM criteria effectively predicted 5-year mortality and readmission rates, with both GLIM and MNA-SF screening demonstrating the best predictive performance [Hazard ratios: 3.348 (2.781–4.029),Odds ratios 3.933 (2.953–5.239)].

conclusionMalnutrition identified by both GLIM and MNA-SF demonstrates robust predictive ability for mortality and readmission rates in elderly hospitalized patients. The GLIM criteria’s predictive capacity for mortality and readmission may guide interventions, holding significant implications for both clinical practice and research.

Indexed as

HospitalizationMalnutritionNutrition AssessmentAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleNutritional StatusPatient ReadmissionPredictive Value of TestsRetrospective StudiesRisk AssessmentHospitalMalnutritionMortalityNutritional risk false negativeOlder

Identifiers

PMID41214556
PMCPMC12599018

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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.