Evidence map›Paper›PMID 39563289›Full record

ArticleBMC public health2024

Rapid FEV1 decline and the effects of both FEV1 and FVC on cardiovascular disease: A UK biobank cohort analysis.

Jiahui Zhang, Junru Wang, Xiaojun Ma, Yali Wang, Kai Liu, Zhuoyuan Li, Jing Wang, Lisha Na, Jiangping Li

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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. Article
  2. 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

9 authors.

Jiahui ZhangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Junru WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiaojun MaDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Yali WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Kai LiuDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Zhuoyuan LiDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Jing WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China.
Lisha NaDepartment of Cardiac Function Examination of Heart Centre, General Hospital of Ningxia Medical University, 750004, Yinchuan City, Ningxia, China. lishana2003@163.com.
Jiangping LiDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, 750004, Yinchuan, Ningxia Hui Autonomous Region, China. lijp@nxmu.edu.cn.

Funding

the Open competition mechanism to select the best candidates for key research projects of Ningxia Medical University No. XJKF230203
6 · The paper itself

Abstract

backgroundThe relationship between lung function and cardiovascular disease (CVD) has emerged as a significant research focus in recent years, but studies on the effects of both forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) remain limited.

methodsAmong 29,662 participants in the UK Biobank study free of CVD, rapid lung function decline was defined as the decline in either FEV1 (greatest quartile), FVC (greatest quartile), or both (when both FEV1 and FVC exceeded the greatest quartile). CVDs include coronary heart disease (CHD), arrhythmias, heart failure (HF), peripheral arterial disease (PAD), and other CVDs (including endocarditis, stroke, and myocardial diseases). Cox proportional hazards models were used to explore the associations between lung function and CVD incidence. Fine‒Gray models were used to account for the competing risk of death.

resultsAmong 29,662 participants in the UK Biobank study free of CVD, the adjusted hazard ratios (HRs) for FEV1 rapid decline were 1.150 (95% CI: 1.009-1.311) for CHD, 1.307 (95% CI: 1.167-1.465) for arrhythmias, 1.406 (95% CI: 1.084-1.822) for HF, 1.287 (95% CI: 1.047-1.582) for PAD, 1.170 (95% CI: 1.022-1.340) for other CVDs, and 1.216 (95% CI: 1.124-1.315) for composite CVD. The adjusted HRs for the impact of both rapid decreases in FEV1 and FVC were 1.386 (95% CI: 1.226-1.567) for arrhythmias, 1.390 (95% CI: 1.041-1.833) for HF, 1.222 (95% CI: 1.054-1.417) for other CVDs, and 1.230 (95% CI: 1.128-1.340) for composite CVD.

conclusionsThe rapid decline in FEV1 and the impact of both FEV1 and FVC are closely associated with the subsequent incidence of various CVDs and composite CVD.

Indexed as

Cardiovascular DiseasesAdultAgedBiological Specimen BanksCohort StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedProportional Hazards ModelsUK BiobankUnited KingdomVital CapacityCardiovascular diseaseForced expiratory volume in 1 secondForced vital capacityLung function

Identifiers

PMID39563289
PMCPMC11575200

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LicenceCC BY-NC-ND
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Registered trials

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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.