Evidence map›Paper›PMID 39343804›Full record

ArticleEuropean journal of clinical nutrition2025

Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer.

Junbo Zuo, Yan Huang, Zhenhua Huang, Jingxin Zhang, Wenji Hou, Chen Wang, Xiuhua Wang, Xuefeng Bu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

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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.

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Junbo Zuo *Department of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.ORCID 0009-0005-3196-574X
Yan Huang *Department of Nutrition, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Zhenhua HuangDepartment of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jingxin ZhangDepartment of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Wenji HouDepartment of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Chen WangDepartment of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xiuhua WangDepartment of Nutrition, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xuefeng BuDepartment of General Surgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China. xuefengbu05@163.com.ORCID 0000-0001-6684-5880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC).

methodObjective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria.

resultsA total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 (47.8%) patients based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758-0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641-0.757) and 0.665 (95% CI: 0.605-0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition.

conclusionsCompared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.

Indexed as

MalnutritionNutritional StatusNutrition AssessmentStomach NeoplasmsAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleMass ScreeningMiddle AgedROC CurveSensitivity and Specificity

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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.