Evidence map›Paper›PMID 41886359›Full record

ArticleMediators of inflammation2026

Elevated Inflammatory Burden Index Is Association With Increased Sarcopenia: A Population-Based Study.

Li Xiao, Yunzhe Li, Xiuyun Li, Zixin Luo, Chenxi Wang, Shaochun Liu, Nan Huang, Maoyuan Wang, Kang Zou

Abstract read
In one paragraph

Article in Mediators of inflammation, 2026. 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

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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

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

9 authors.

Li XiaoDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0000-0002-3541-6992
Yunzhe LiThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou City, Zhejiang Province, 310000, People's Republic of China, zcmu.edu.cn.ORCID https://orcid.org/0009-0005-2474-4578
Xiuyun LiThe First Clinical Medical College, Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0009-0002-4056-8146
Zixin LuoThe First Clinical Medical College, Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0009-0009-2573-8830
Chenxi WangThe First Clinical Medical College, Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0009-0002-3812-946X
Shaochun LiuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0009-0007-1384-4631
Nan HuangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0009-0007-3781-1332
Maoyuan WangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0000-0003-1952-101X
Kang ZouDepartment of Critical Care Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, 341000, People's Republic of China, gmu.cn.ORCID https://orcid.org/0000-0002-4959-1951

Funding

Ganzhou Guiding Science and Technology Plan GZ2023ZSF131Ganzhou Municipal Health Commission 2022-2-088Health Commission of Jiangxi Province 202310737Jiangxi Provincial Administration of Traditional Chinese Medicine 2022A264
6 · The paper itself

Abstract

backgroundThe inflammatory burden index (IBI) is a comprehensive indicator of the inflammatory state of the body and is associated with a variety of chronic diseases. Sarcopenia is a disease characterized by a reduction in skeletal muscle mass, but the association between IBI and sarcopenia is currently unclear.

methodsThis study was based on data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 and included 4523 participants aged 20 years and older. IBI was calculated by the product of C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR). Sarcopenia was defined by the extremity skeletal muscle mass index (ASM/body mass index [BMI]). The association between IBI and sarcopenia was analyzed using multivariate logistic regression models with nonlinear and subgroup analyses.

resultsThe mean age of the participants was 39.9 years, and 52.5% were female. Higher IBI scores were associated with a higher risk of chronic disease. IBI was positively associated with sarcopenia, with the highest IBI group having a 1.94 times greater risk of sarcopenia than the lowest group (95% CI: 1.34-2.81). The natural log transformation of IBI resulted in a 42% increase in risk of sarcopenia for each unit increase (95% CI: 1.08-1.87). Nonlinear analyses showed an inflection point in the association between IBI and sarcopenia at 2.38, with a significant increase in risk before the inflection point and no longer significant after the inflection point. Subgroup analyses showed that this association was consistent across sex, age, diabetes, cardiovascular disease (CVD), and chronic kidney disease (CKD).

conclusionThere is a positive association between IBI and sarcopenia with nonlinear characteristics. High IBI levels may increase the risk of sarcopenia, suggesting that inflammation may play an important role in sarcopenia, providing a potential target for future interventions.

Indexed as

InflammationSarcopeniaAdultAgedBody Mass IndexC-Reactive ProteinFemaleHumansLogistic ModelsLymphocytesMaleMiddle AgedMuscle, SkeletalNeutrophilsNutrition SurveysYoung AdultC-Reactive ProteinC-reactive proteininflammatory burden indexneutrophil-to-lymphocyte ratioNHANESsarcopenia

Identifiers

PMID41886359
PMCPMC13140181

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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.