Evidence map›Paper›PMID 40751263›Full record

ArticleLipids in health and disease2025

A comprehensive investigation of the relationship between dietary fatty acid intake and preserved ratio impaired spirometry: multimethodology based on NHANES.

Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Jianxing He, Ying Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Chenyuan Deng *Department of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yu Jiang *Department of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yuechun Lin *Department of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Hengrui LiangDepartment of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Wei WangDepartment of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Jianxing HeDepartment of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. drjianxing.he@gmail.com.
Ying HuangDepartment of Thoracic Surgery and Oncology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. huangy8929@163.com.

Funding

Basic and Applied Basic Research Projects of Guangzhou Municipal Bureau of Science and Technology No. 2024A03J1224Guangdong Basic and Applied Basic Research Foundation 2023B1515120076National Key Research and Development Program of China 2022YFB4702600R&D Program of Guangzhou National Laboratory SRPG22-017
6 · The paper itself

Abstract

backgroundPreserved ratio impaired spirometry (PRISm) has been identified as a potential precursor to chronic obstructive pulmonary disease (COPD) and demonstrates a significant correlation with unfavorable clinical outcomes. Modification of PRISm-related risk factors is a higher priority in public health than treating PRISm itself. Dietary fatty acids (FAs) affect human health through a variety of physiological pathways. However, no prior research has investigated the associations of FAs and their subclasses with PRISm, particularly the combined effects of different types of FAs.

methodsData analysis was conducted on 8,836 individuals drawn from the NHANES dataset spanning the years 2007 to 2012. Logistic regression and smooth curve fitting were first used to assess relationships of individual FA intake with PRISm. Multiple comparisons were adjusted using the Benjamini-Hochberg (BH) correction. Threshold effect analysis was conducted to explore potential nonlinear associations. Subsequently, innovative implementation of the principal component analysis (PCA), Weighted Quantile Sum (WQS) regression, and Bayesian Kernel Machine Regression (BKMR) approaches were employed to assess the joint impact of the various intake of FAs, as well as total saturated, monounsaturated, and polyunsaturated FAs on PRISm. To facilitate the prediction of PRISm, six distinct machine learning algorithms were constructed, followed by the application of SHAP analysis to elucidate the contribution of individual predictors. For improved clinical utility, the most effective model was further implemented as an online tool.

resultsThe weighted prevalence of PRISm observed in this study was 8.81%. The results from the single-exposure models demonstrated that most FAs were negatively associated with PRISm, and these associations remained significant after BH correction. In all three models, saturated FAs revealed impressive protective associations with PRISm. LightGBM was identified as the most effective machine learning model. Among all variables, race was the most influential factor and butyric acid (SFA 4:0) was identified as the most critical FA subclass.

conclusionsAdequate dietary intake of FAs may reduce the prevalence of PRISm. Furthermore, an interactive Web-based application enables healthcare professionals to estimate individuals' odds of having PRISm and to design personalized dietary interventions based on their specific needs.

Indexed as

Dietary FatsFatty AcidsPulmonary Disease, Chronic ObstructiveAdultAgedBayes TheoremFemaleHumansLogistic ModelsMachine LearningMaleMiddle AgedNutrition SurveysRisk FactorsSpirometryDietary FatsFatty AcidsFatty acidMachine learningNHANESPreserved ratio impair spirometry

Identifiers

PMID40751263
PMCPMC12317587

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.