Evidence map›Paper›PMID 40681731›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2025

Comparison between vascular age based on brachial-ankle pulse wave velocity or carotid-femoral pulse wave velocity.

Tianhui Dong, Fangfang Fan, Hongyu Chen, Zhichen Dong, Leyuan Yang, Yiming Luo, Zifeng Qiu, Ran Fang, Qiwen Zheng, Xiangning Zhang and 3 more

Abstract readComparative Study
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Vascular Age: A narrative review of assessment methods, clinical applications, and future directions.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Review
  5. Article
  6. 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

13 authors.

Tianhui DongDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Fangfang FanDepartment of Cardiology, Peking University First Hospital, Beijing, China. fang9020@126.com.
Hongyu ChenDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Zhichen DongDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Leyuan YangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yiming LuoDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Zifeng QiuDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Ran FangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Qiwen ZhengNational Genomics Data Center, China National Center for Bioinformation, Beijing, China.
Xiangning ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Jianping LiDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China. drzhy1108@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular age (VA) as a surrogate of chronological age can improve cardiovascular risk prediction. This study examines which vascular age calculated by brachial-ankle pulse wave velocity (baPWV) or carotid-femoral pulse wave velocity (cfPWV) has a stronger association with the risk of cardiovascular events. This prospective study included 5723 participants from a community-based atherosclerosis cohort in Beijing, China. VA was defined as the predicted age in a multivariable regression model, including classical cardiovascular risk factors, treatment, and pulse wave velocity (baPWV or cfPWV). Residuals by regressing vascular age on chronological age were defined as ∆-age, and the 10th and 90th percentiles of ∆-age were used as cutoffs to define supernormal vascular aging, normal vascular aging, and early vascular aging, respectively. During the median 3.1-year follow-up period, 173 (3.0%) composite endpoints were observed. After adjusting for age and sex, ∆-age calculated by baPWV was significantly associated with cardiovascular risk (hazard ratio [HR]: 1.05, 95% confidence interval [CI]: 1.01-1.09, p = 0.025). After adjusting for traditional cardiovascular risk factors, early vascular aging group calculated by baPWV had an increased cardiovascular risk (HR: 1.84, 95% CI: 1.25-2.73, p = 0.002), compared with the normal vascular aging group. In contrast, no significant results were observed in the analyses of VA calculated by cfPWV. Since baPWV is a simple and convenient method, VA calculated by baPWV is more valuable for cardiovascular disease risk prediction of large sample population. The association between VA based on baPWV or cfPWV and MACE. EVA early vascular aging, normal VA normal vascular aging, SUPERNOVA supernormal vascular aging.

Indexed as

AgingAnkle Brachial IndexCardiovascular DiseasesCarotid-Femoral Pulse Wave VelocityPulse Wave AnalysisAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsVascular StiffnessbaPWVCardiovascular eventscfPWVVascular age

Identifiers

PMID40681731
PMCPMC12411221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.