Evidence map›Paper›PMID 32149103›Full record

ArticleBioMed research international2020

The Association of Stage 1 Hypertension Defined by the 2017 ACC/AHA Guideline with Stroke and Its Subtypes among Elderly Chinese.

Jinyue Gao, Yue Dai, Yanxia Xie, Jia Zheng, Yali Wang, Rongrong Guo, Zhaoqing Sun, Liying Xing, Xingang Zhang, Yingxian Sun and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jinyue GaoDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Yue DaiDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Yanxia XieDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Jia ZhengDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Yali WangDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Rongrong GuoDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Zhaoqing SunDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0002-1608-7396
Liying XingInstitute of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China.ORCID https://orcid.org/0000-0002-3301-3516
Xingang ZhangDepartment of Cardiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.
Yingxian SunDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0002-7961-4229
Liqiang ZhengDepartment of Cardiology, Department of Library and Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.ORCID https://orcid.org/0000-0003-0101-9398
China Medical University · CNShenyang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 2017 American College of Cardiology and American Heart Association hypertension guideline updated stage 1 hypertension definition as systolic blood pressure range from 130 to 139 mmHg or diastolic blood pressure from 80 to 89 mmHg. However, the association of stage 1 hypertension with stroke and its subtypes among the older population in rural China remains unclear.

methodsThis population-based cohort study consisted of 7,503 adults aged ≥60 years with complete data and no cardiovascular disease at baseline from rural areas of Fuxin County, Liaoning province, China. Follow-up for the new cases of stroke was conducted from the end of the baseline survey to the end of the third follow-up survey (January 1, 2007-December 31, 2017). Adjusted Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals with the normal blood pressure as a reference, and calculated population attributable risk was based on prevalence and hazard ratios.

resultsDuring a median follow-up of 12.5 years, we observed 1,159 first-ever incident stroke (774 ischemic, 360 hemorrhagic, and 25 uncategorized). With the blood pressure <120/<80 mmHg as a reference, stage 1 hypertension showed the adjusted hazard ratios (95% confidence intervals) of 1.45 (1.11-1.90) for all stroke, 1.65 (1.17-2.33) for ischemic stroke, and 1.17 (0.74-1.85) for hemorrhagic stroke, respectively. In this study, the population attributable risk values of stage 1 hypertension were 10.22% (2.64%-18.56%) for all stroke and 14.34% (4.23%-25.41%) for ischemic stroke.

conclusionAmong adults aged ≥60 years in rural China, stage 1 hypertension defined by 2017 American College of Cardiology and American Heart Association hypertension guideline was independently associated with the increased risk of all stroke and ischemic stroke, excluding hemorrhagic stroke.

Indexed as

HypertensionStrokeAgedBlood PressureChinaFemaleHumansMaleMiddle AgedProspective Studies

Identifiers

PMID32149103
PMCPMC7035505
OpenAlexW3005332231

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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.