Evidence map›Paper›PMID 31431682›Full record

ArticleJournal of human hypertension2020

Clustering of risk factors and the risk of new-onset hypertension defined by the 2017 ACC/AHA Hypertension Guideline.

Yuli Huang, Meng Dai, Zhihui Deng, Xingfu Huang, Hanlin Li, Yujia Bai, Chuanjie Yan, Qiong Zhan, Qingchun Zeng, Ping Ouyang and 1 more

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Article in Journal of human hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Yuli Huang *State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Meng Dai *Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Zhihui Deng *State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Xingfu HuangState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Hanlin LiState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Yujia BaiState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Chuanjie YanDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Qiong ZhanState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Qingchun ZengState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Ping OuyangDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
Dingli XuState Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China. dinglixu@fimmu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2017 American College of Cardiology (ACC)/American Heart Association (AHA) lowered the diagnostic criteria for hypertension. We aimed to explore whether clustering of multiple risk factors are associated with the risk of new-onset hypertension defined by the 2017 ACC/AHA Hypertension Guideline. Subjects who attended ≥2 annual health examinations without baseline hypertension and cardiovascular disease were included. Hypertension was defined according to the 2017 ACC/AHA Hypertension Guideline. Seven predefined risk factors, including age, resting heart rate, overweight or obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and a poor estimated glomerular filtration rate, were analyzed. A composite, individual-level, cumulative score incorporating these seven risk factors (no = 0 point; yes = 1 point; total range of 0-7 points) was calculated. The association between the cumulative score and the risk of hypertension was analyzed using a Cox regression model. A total of 4424 (21.6%) of 20,190 subjects included had new-onset hypertension during a follow-up duration of 3.6 years. Compared with subjects with 0 points, the adjusted hazard ratios (95% confidence intervals) for the development of hypertension for those with 1, 2, 3, and ≥4 points were 1.21 (1.07-1.38), 1.34 (1.19-1.52), 1.44 (1.26-1.63), and 1.64 (1.44-1.87), respectively (P < 0.001), after adjustment for sex and baseline blood pressure. Age, resting heart rate, overweight/obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and a poor estimated glomerular filtration rate are associated with an increased risk of future hypertension. When these factors are combined, there is an accumulated increase in risk.

Indexed as

CardiologyHypertensionBlood PressureCluster AnalysisHumansRisk FactorsUnited States

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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.