Evidence map›Paper›PMID 32445331›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Determinants of Brachial-Ankle Pulse Wave Velocity and Vascular Aging in Healthy Older Subjects.

Yu Sang, Xiaofen Wu, Jianping Miao, Ming Cao, Lei Ruan, Cuntai Zhang

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Comparison between vascular age based on brachial-ankle pulse wave velocity or carotid-femoral pulse wave velocity.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Vascular Aging: Assessment and Intervention.Clinical interventions in aging · 2023
    Review
  12. Article
  13. Article
  14. 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.

Yu SangDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Xiaofen WuDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Jianping MiaoDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Ming CaoDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Lei RuanDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Cuntai ZhangDepartment of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Vascular aging is characterized by increasing arterial stiffness as measured by pulse wave velocity. The present study evaluated the factors influencing vascular aging in Chinese healthy older subjects. MATERIAL AND METHODS Disease- and treatment-free aged (≥60 years) participants were recruited from 2014 to 2019. Cardiometabolic risk factors and brachial-ankle pulse wave velocity (baPWV) were assessed. We defined healthy vascular aging (HVA) as the lowest 10% and early vascular aging (EVA) as the highest 10% of the baPWV distribution, after adjustment for age and blood pressure (BP). We fitted linear and logistic regression models to assess the determinants. RESULTS In all, 794 subjects (mean age 66.5±6.8 years, 71.0% male) were recruited; the 10th and 90th percentiles of baPWV were 1278 cm/s and 1955 cm/s, respectively. Age, BP, heart rate, and triglycerides were all positively associated with baPWV, whereas male subjects and body mass index (BMI) were negatively associated with baPWV. The number of participants diagnosed with either HVA or EVA was 80. Logistic regression models showed that sex, BMI, heart rate, and triglycerides were associated with HVA and EVA after adjustment for age, BP, and other confounding factors. CONCLUSIONS Male, high BMI, low heart rate, and low triglycerides are protective factors for vascular aging in the healthy aged population. Management of BMI, heart rate, triglycerides in a reasonable range may help to alleviate the vascular aging process.

Indexed as

AgedAgingAnkleAnkle Brachial IndexAnkle JointBlood PressureBody Mass IndexBrachial ArteryCardiovascular DiseasesFemaleHeart RateHumansLogistic ModelsMaleMiddle AgedPulse Wave Analysis

Identifiers

PMID32445331
PMCPMC7260998

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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.