Evidence map›Paper›PMID 40604819›Full record

ArticleBMC public health2025

Association of pulmonary function with the risk of stroke based on the NHANES database.

Licheng Shi, Yin Yang, Yingying Su, Jiannan Liu, Xuanfeng Zhu

Abstract read
In one paragraph

Article in BMC public health, 2025. 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

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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

5 authors.

Licheng Shi *Department of Respiratory Medicine, Jiangsu Province Official Hospital, Geriatric Hospital of Nanjing Medical University, Nanjing, 210000, China.
Yin Yang *Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Yingying SuDepartment of Respiratory Medicine, Jiangsu Province Official Hospital, Geriatric Hospital of Nanjing Medical University, Nanjing, 210000, China.
Jiannan LiuDepartment of Respiratory Medicine, Jiangsu Province Official Hospital, Geriatric Hospital of Nanjing Medical University, Nanjing, 210000, China.
Xuanfeng ZhuDepartment of Respiratory Medicine, Jiangsu Province Official Hospital, Geriatric Hospital of Nanjing Medical University, Nanjing, 210000, China. zhuxuanfeng@snapmail.cc.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a significant cause of morbidity and mortality worldwide, often associated with various risk factors including age, hypertension, and diabetes. This study aimed to investigate the relationship between pulmonary function and the presence of stroke, accounting for demographic and clinical factors.

methodsA total of 6700 participants were enrolled from National Health and Nutrition Examination Survey. Logistic regression analysis was conducted to calculated the odds ratio (OR) and 95% confidence interval (CI) of pulmonary function variables, including forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and peak expiratory flow rate (PEF), and the risk of stroke.

resultsParticipants with stroke were older, had higher body mass index (BMI), and exhibited a higher prevalence of diabetes and hypertension. Additionally, stroke patients had significantly lower levels of FEV1, FVC, and PEF. Higher quartiles of FEV1 (OR 0.21, 95%CI 0.05 to 0.67; P = 0.014), FVC (OR 0.29, 95%CI 0.10 to 0.82; P = 0.023), and PEF (OR 0.22, 95%CI 0.08 to 0.57; P = 0.003) were independently associated with risk of stroke after adjustment for demographic and clinical variables.

conclusionHigher levels of FEV1, FVC, and PEF were consistently associated with a reduced risk of stroke. These results highlight the potential importance of monitoring pulmonary function as a marker for stroke risk assessment and warrant further investigation into the underlying mechanisms of this association.

Indexed as

StrokeAdultAgedDatabases, FactualFemaleForced Expiratory VolumeHumansMaleMiddle AgedNutrition SurveysRespiratory Function TestsRisk FactorsUnited StatesVital CapacityFEV1FVCPEFPulmonary functionStroke

Identifiers

PMID40604819
PMCPMC12220460

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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.