Evidence map›Paper›PMID 38702348›Full record

ArticleScientific reports2024

Ideal cardiovascular health index and high-normal blood pressure in elderly people: evidence based on real-world data.

Yongcheng Ren, Lulu Cheng, Yaoyu Song, Yuting Yang, Lin Xiang, Chaohua Wei, Tiantian Zhao, Shengnan Yu, Juan Zhang, Tiezhen Wang and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
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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

14 authors.

Yongcheng RenHenan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, Henan, China. renyongcheng@huanghuai.edu.cn.
Lulu ChengHenan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, Henan, China.
Yaoyu SongInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Yuting YangInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Lin XiangInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Chaohua WeiInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Tiantian ZhaoInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Shengnan YuInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Juan ZhangInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Tiezhen WangDigital Medicine Center, Pingyu People's Hospital, Zhumadian, 463000, Henan, China.
Lei YangInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Xiaofang ZhangInstitute of Health Data Management, Huanghuai University, Zhumadian, 463000, China.
Wei YanHenan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, Henan, China. 782905117@qq.com.
Pengfei WangHenan Provincial Key Laboratory of Digital Medicine, Affiliated Central Hospital of Huanghuai University, Zhumadian, Henan, China. uuwpf@163.com.

Funding

Henan Provincial Science and Technology Research Project 212102310764Henan Provincial Science and Technology Research Project 232102310497National Natural Science Foundation of China 82103935
6 · The paper itself

Abstract

Limited information is available on the cardiovascular health (CVH) index and risk of high-normal blood pressure (HNBP) in elderly people. Randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used in this study analyze the relationship between CVH index and HNBP in the elderly. 1089 non-hypertensive residents aged 65 years or older completed the study. The positive rate of HNBP was 75.85% (male vs. female: 76.13% vs. 75.64%, P = 0.852); The ideal rate of CVH (ideal CVH index ≥ 5 items) was 14.51% (male vs. female: 15.91% vs. 13.46%, P = 0.256). Compared with people with 0-2 ideal CVH index, the risk of HNBP in people with 4 ideal indexes and ≥ 5 ideal indexes decreased by 50% and 63%, respectively, and their OR (95% CI) were 0.50 (0.31, 0.81) and 0.37 (0.21, 0.66), respectively. The results of the trend test showed that the risk of HNBP decreased by 32% for every increase in the ideal CVH index (trend P < 0.001) and TyG index does not play a mediating role in this relationship. That is, increasing the number of ideal CVH index may effectively reduce the risk of HNBP in elderly by one-third.

Indexed as

Blood PressureAgedAged, 80 and overCardiovascular DiseasesFemaleHumansHypertensionMaleRisk FactorsCardiovascular health indexElderlyHigh-normal blood pressure

Identifiers

PMID38702348
PMCPMC11068865

What OpenQuestion holds

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LicenceCC BY
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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.