Evidence map›Paper›PMID 38076255›Full record

ArticleFrontiers in medicine2023

The association between systemic immune-inflammation index and chronic obstructive pulmonary disease in adults aged 40 years and above in the United States: a cross-sectional study based on the NHANES 2013-2020.

Yifeng Xu, Zhaoqi Yan, Keke Li, Liangji Liu

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07185581 (Evaluation of Small Airway Function During COPD Exacerbation and Recovery Using Impulse Oscillometry), which is not on this map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

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.

NCT07185581 completednot on this mapstarted 2024, after this paper: background citation

Evaluation of Small Airway Function During COPD Exacerbation and Recovery Using Impulse Oscillometry (IOS) Device

Typeobservational_patient_registrySponsorDeniz BiliciRan2024 to 2024Enrolled41ConditionsCOPD Exacerbation, COPDArmsImpulse Oscillometry
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Effects ofFrontiers in pharmacology · 2024
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  16. Prognostic Value of Biomarkers in Chronic Obstructive Pulmonary Disease: A Comprehensive Review.International journal of chronic obstructive pulmonary disease · 2025
    Review
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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

4 authors.

Yifeng XuSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Zhaoqi YanSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Keke LiSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Liangji LiuDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation is the core of Chronic obstructive pulmonary disease (COPD) development. The systemic immune-inflammation index (SII) is a new biomarker of inflammation. However, it is currently unclear what impact SII has on COPD. This study aims to explore the relationship between SII and COPD. Methods: This study analyzed patients with COPD aged ≥40 years from the National Health and Nutrition Examination Survey (NHANES) in the United States from 2013 to 2020. Restricted Cubic Spline (RCS) models were employed to investigate the association between Systemic immune-inflammation index (SII) and other inflammatory markers with COPD, including Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR). Additionally, a multivariable weighted logistic regression model was utilized to assess the relationship between SII, NLR and PLR with COPD. To assess the predictive values of SII, NLR, and PLR for COPD prevalence, receiver operating characteristic (ROC) curve analysis was conducted. The area under the ROC curve (AUC) was used to represent their predictive values. Results: A total of 10,364 participants were included in the cross-sectional analysis, of whom 863 were diagnosed with COPD. RCS models observed non-linear relationships between SII, NLR, and PLR levels with COPD risk. As covariates were systematically adjusted, it was found that only SII, whether treated as a continuous variable or a categorical variable, consistently remained positively associated with COPD risk. Additionally, SII (AUC = 0.589) slightly outperformed NLR (AUC = 0.581) and PLR (AUC = 0.539) in predicting COPD prevalence. Subgroup analyses revealed that the association between SII and COPD risk was stable, with no evidence of interaction. Conclusion: SII, as a novel inflammatory biomarker, can be utilized to predict the risk of COPD among adults aged 40 and above in the United States, and it demonstrates superiority compared to NLR and PLR. Furthermore, a non-linear association exists between SII and the increased risk of COPD.

Indexed as

chronic obstructive pulmonary diseasecross-sectional studyNHANESrestricted cubic splinesystemic immune-inflammation index

Identifiers

PMID38076255
PMCPMC10704483

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Registered trials

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