Evidence map›Paper›PMID 39810110›Full record

ArticleBMC pulmonary medicine2025

Association of pan-immune inflammation value and lung health in adults.

Ya Lin, Xiao Lin, Chufan Ren, Lanlan Song, Chao Gu

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Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Ya LinDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Xiao LinDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Chufan RenWenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Lanlan SongDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Chao GuDepartment of Respiratory Medicine, The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 South Zhonghuan Road, Jiaxing, Zhejiang, 314000, China. guchaozju@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung health is intricately linked with inflammation. The pan-immune-inflammation value (PIV) emerges as a promising biomarker, offering reflection into systemic inflammatory states and assisting in the prognosis of diverse diseases. This research aims to explore the associations between PIV and respiratory symptoms, respiratory diseases and lung function.

methodsThe study was a cross-sectional population study from the National Health and Nutrition Examination Survey (NHANES). Restricted cubic spline (RCS) models were conducted to explore the relationships between PIV and respiratory health outcomes, while weighted linear regression models and weighted logistic regression models were the ones used for regression analysis. Trend tests probed the evolving relationship among PIV quartiles and outcomes. The study incorporated subgroup analysis and interaction tests to examine associations within specific subpopulations.

resultsFrom the cohort of 6,263 participants, a distinct negative correlation was identified between PIV and lung health. Subsequent to confounding factors, a 100-unit increment in PIV was linked to a 2% increase in the incidence of cough and phlegm (OR, 95% CI: 1.02, 1.00 to 1.05; 1.02, 1.00 to 1.04). Additionally, higher PIV was associated with reductions in FEV1 (MD, 95% CI: -5.37, -9.10 to -1.64) and FVC (MD, 95% CI: -5.75, -10.34 to -1.15). Categorizing PIV into quartiles revealed an ascending trend: A significantly higher risk of cough/phlegm/wheeze was found in participants in the second/third/fourth PIV quartile compared to those in the first PIV quartile (all p for trend < 0.05). Moreover, lung function indicators (FEV1, FEV1%, FVC, FVC%, FEV1/FVC) declined significantly in the fourth quartile (all p for trend < 0.05). Besides, a nonlinear relationship between PIV and outcomes was evident. Subgroup analysis revealed variations in these associations stratified by gender, age, smoking and drinking status, as well as certain disease history.

conclusionsThe study highlighted the potential connections between PIV and respiratory symptoms, respiratory diseases and lung function. Monitoring PIV level could provide valuable insights into the inflammatory status and may inform clinical approaches for managing respiratory health.

Indexed as

InflammationLungAdultAgedBiomarkersCoughCross-Sectional StudiesFemaleForced Expiratory VolumeHumansLinear ModelsLogistic ModelsMaleMiddle AgedNutrition SurveysRespiratory Function TestsBiomarkersLung functionLung healthPan-immune inflammation valueRespiratory diseasesRespiratory symptoms

Identifiers

PMID39810110
PMCPMC11734563

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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.