Evidence map›Paper›PMID 39722729›Full record

ArticleJournal of inflammation research2024

Resting Heart Rate Mediates the Association Between Circulating Neutrophil Count and Arterial Stiffness Progression: The Kailuan Study.

Zhaogui Wu, Dan Wu, Shuohua Chen, Sichi Xu, Shunming Zhang, Shouling Wu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. 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

6 authors.

Zhaogui Wu *Department of Cardiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, 441000, People's Republic of China.ORCID 0000-0001-6945-333X
Dan Wu *Department of Pediatrics, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, People's Republic of China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, Hebei, 063001, People's Republic of China.
Sichi XuDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Shunming ZhangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, People's Republic of China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, Hebei, 063001, People's Republic of China.ORCID 0000-0001-7095-6022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to longitudinally investigate the association between circulating neutrophil count and the progression of arterial stiffness and to ascertain whether resting heart rate (RHR) mediates this association. Methods: The current study included 56,760 participants with brachial-ankle pulse wave velocity (baPWV) measurements from a real-life, prospective cohort in China. The associations of circulating neutrophil (exposure) with baseline baPWV, baPWV progression, and arterial stiffness (outcomes), as well as RHR (mediator) were assessed using multivariable linear and Cox regression models and mediation analysis. Results: After adjusting for cardiometabolic risk factors, for each 1-SD increase in neutrophil count, the corresponding increase was 13.5 cm/s (95% CI, 11.1 to 15.9 cm/s, Conclusion: The present study underlines that circulating neutrophil count is significantly associated with arterial stiffness progression and that the RHR is, in part, a mediator of this association.

Indexed as

arterial stiffnesscohort studyinflammationmediatorneutrophil countresting heart rate

Identifiers

PMID39722729
PMCPMC11669340

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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.