Evidence mapPaperPMID 40735237Full record

ArticleFrontiers in nutrition2025

Geriatric Nutritional Risk Index and mortality in individuals with prediabetes and diabetes: a longitudinal cohort study.

Luyao Qiao, Te Li, Jiaxing Peng, Qing Xie, Mengqian Wu, Yanping Li, Zhenyu Tang

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Luyao QiaoDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Te LiDepartment of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiaxing PengDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Qing XieDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Mengqian WuDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yanping LiDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Zhenyu TangDepartment of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examines the relationship between Geriatric Nutrition Risk Index (GNRI) and all-cause and cardiovascular mortality in individuals with prediabetes and diabetes, aiming to guide clinical nutrition management and extend life expectancy. Methods: We analyzed a weighted sample of 7,640 individuals with prediabetes and diabetes from the NHANES 2005-2018 and the NCI database. Nutritional status was assessed using the GNRI. Survival outcomes, including all-cause and cardiovascular mortality, were analyzed using Cox proportional hazards regression models and Kaplan-Meier survival curves. Subgroup analyses and restricted cubic spline (RCS) regressions were further conducted to evaluate the robustness and potential nonlinear relationships between GNRI and mortality outcomes. Results: Over a median follow-up of 8.00 years, 1,210 participants died, including 319 from cardiovascular diseases. Kaplan-Meier curves revealed significantly lower survival rates for both mortalities in participants with low GNRI. Fully adjusted COX regression models revealed a 2.50-fold (95% CI: 2.14-2.92, Conclusion: GNRI demonstrated a significant, negative, and nonlinear association with all-cause and cardiovascular mortality in US individuals with prediabetes and diabetes, highlighting its utility in improving survival outcomes through nutritional assessment.

Indexed as

all-cause mortalitycardiovascular mortalitydiabetesGeriatric Nutritional Risk Indexnutritional statusprediabetes

Identifiers

PMID40735237
PMCPMC12303801

What Socratic holds

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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 Socratic graph.