Evidence map›Paper›PMID 37051065›Full record

ArticleFrontiers in cardiovascular medicine2023

Brachial-ankle pulse wave velocity trajectories in a middle-aged population.

Xuan Deng, Yongjian Song, Xu Han, Xueyu Chen, Wenyi Yang, Shouling Wu, Yong Zhou

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
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.

Xuan DengClinical Research Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongjian SongDepartment of Cardiology, Zhangjiakou First Hospital, Zhangjiakou, China.
Xu HanDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Xueyu ChenDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Wenyi YangDepartment of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Yong ZhouClinical Research Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The "trajectory" phenotype was observed in several cardiovascular risk factors with aging. We aim to identify multiple brachial-ankle Pulse Wave Velocity (baPWV) trajectory phenotypes and assess their determinants. Methods: Among 5,182 participants with baPWV measurements (2010-2016) at no less than three time points in Kailuan Study, we derived baPWV trajectory pattern using SAS Proc Traj program. We applied the lowest Bayesian information criterion to identify the best typing model, related the identified trajectory pattern to baseline and changes in characteristics. Results: Among 5.3 ± 1.7 years follow-up, four distinct baPWV trajectories were identified as low (1,961,37.8%), medium-low (1,846,35.6%), medium-high (1,024,19.8%), and high (351,6.8%) groups. In the stepwise models, mean arterial pressure and age were the main determinators of the trajectory patterns, with a Δpseudo-R Conclusions: The changes in baPWV overtime followed a "trajectory" pattern, mainly determined by mean arterial pressure and age.

Indexed as

arterial stiffnessarteriosclerosispulse wave velocityrisk factortrajectory

Identifiers

PMID37051065
PMCPMC10083284

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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.