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Record W4416459972 · doi:10.18332/tid/209609

Causal association between cigarette smoking and the prevalence of preserved ratio impaired spirometry (PRISm), and the progression risk factors of PRISm: A study based on Mendelian randomization and meta-analysis

2025· article· en· W4416459972 on OpenAlexaboutno aff
Ting Chen, Guoyue Zhang, Xianzhi Du

Bibliographic record

VenueTobacco Induced Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsMendelian randomizationCigarette smokingAssociation (psychology)SpirometryCOPDPrismRandomizationPack-year

Abstract

fetched live from OpenAlex

INTRODUCTION Preserved ratio impaired spirometry (PRISm) is a new and variable phenotype of spirometry impairment that was first defined by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) in 2023.The identification of high-risk factors for the progression from PRISm to COPD remains insufficient at present.METHODS Mendelian randomization (MR) analysis was conducted using genomewide association study (GWAS) summary statistics.Genetic instruments for smoking behavior were derived from the GWAS & Sequencing Consortium of Alcohol and Nicotine use (GSCAN) (n=607291), while PRISm case-control data were sourced from the UK Biobank (n=296282).The inverse-variance weighted (IVW) method served as the primary analytical approach, supplemented by heterogeneity assessment, pleiotropy evaluation, and sensitivity analyses.For the meta-analysis, PubMed, Embase, Cochrane Library, and Web of Science were systematically searched from inception to 31 December 2024, to identify relevant studies that followed up on the changes in spirometry among individuals with PRISm or studies that reported the possible factors related to the changes in spirometry among individuals with PRISm.The risk of bias and the quality of the included studies were assessed using the Newcastle-Ottawa Scale (NOS). RESULTSThe MR analysis identified 85 SNPs as genetic instruments, revealing a modest causal link between cigarette smoking and PRISm prevalence (IVW: OR=1.01-1.02,p=0.048).The meta-analysis of 14 studies (n=7336 PRISm cases) shows 20.8% (95% CI: 15.6-25.9)progress to COPD at follow-up, with no significant difference by follow-up duration (<5 vs ≥5 years).Persistent PRISm occurs in 41.5% (95% CI: 35.8-47.2),more frequently in long-term follow-up subgroups.Baseline 'chest distress/dyspnea' (OR=3.81;95% CI: 1.47-9.84)and 'current smoking' (OR=2.18;95% CI: 1.14-4.15)significantly predict progression, while respiratory symptoms, FEV 1 /FVC ratio, TLC%, and FVC% show no association.CONCLUSIONS Our findings suggest a modest causal link between cigarette smoking and PRISm prevalence.The progression of PRISm to COPD within 5 years is approximately 20.8%.Among individuals with PRISm at the first visit, 'chest distress or dyspnea' and 'current smoking' are potential clinical risk factors for the progression of PRISm to COPD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.048
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.037
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.327
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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