Evidence map›Paper›PMID 31666712›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2020

Association between ideal cardiovascular health score trajectories and arterial stiffness: the Kailuan Study.

Ruiying Zhang, Jinjie Xie, Renling Yang, Rongjuan Li, Mei Chong, Xinyuan Zhang, Shuohua Chen, Shouling Wu, Ya Yang

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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Temporal relationship between arterial stiffness and blood pressure variability and joint effect on cardiovascular disease.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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  11. Estimation of Life's Essential 8 Score with Incomplete Data of Individual Metrics.medRxiv : the preprint server for health sciences · 2023
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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.

Ruiying ZhangDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jinjie XieDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Renling YangDepartment of General Practice, School of General Practice and Continuing Education, Capital Medical University, Beijing, China.
Rongjuan LiDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Mei ChongDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xinyuan ZhangDepartment of Nutritional Sciences, Pennsylvania State University, State College, PA, USA.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China. drwusl@163.com.
Ya YangDepartment of Echocardiography, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. echoyangya6666@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some studies have shown that a higher ideal cardiovascular health score (CVHS) predicts a lower incidence of arterial stiffness. Few studies have used multiple measurements of CVHS to examine the impact of CVHS on arterial stiffness. The current study aimed to identify the long-term patterns in CVHS trajectory and to explore the association between CVHS trajectory and arterial stiffness. The study cohort consisted of 18,854 participants from the Kailuan Study who were followed up for five physical examinations over 8.10 years. Five discrete CVHS trajectories were identified among the participants: low-stable (8.10%), low-moderate (6.84%), moderate-low (23.46%), moderate-stable (39.83%), and elevated-stable (21.77%). After adjustment for confounding factors, generalized linear model analysis showed that CVHS trajectory group correlated negatively with brachial-ankle pulse wave velocity (baPWV). Compared with the low-stable group, the low-moderate group, moderate-low group, moderate-stable group, and elevated-stable group had B values of -41.81, -24.11, -86.79, and -169.54, respectively. We also used logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for CVHS trajectory groups and arterial stiffness. In fully adjusted models, ORs were 0.76 (95% CI: 0.62-0.94) for the low-moderate group, 0.80 (95% CI: 0.67-0.97) for the moderate-low group, 0.51 (95% CI: 0.42-0.62) for the moderate-stable group, and 0.23 (95% CI: 0.18-0.29) for the elevated-stable group compared with the low-stable group. The results were consistent across a number of sensitivity analyses. In conclusion, the higher long-term attainment and the improvement of CVHS were negatively associated with baPWV and could reduce the risk of arterial stiffness. Our study emphasizes the importance of optimizing CVH throughout life to prevent the incidence of arterial stiffness.

Indexed as

AdultAnkle Brachial IndexCardiovascular DiseasesCardiovascular SystemFemaleHealth StatusHumansMaleMiddle AgedProspective StudiesPulse Wave AnalysisVascular StiffnessArterial stiffnessBrachial–ankle pulse wave velocityIdeal cardiovascular health score

Identifiers

PMID31666712

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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.