Evidence map›Paper›PMID 33589762›Full record

SynthesisJournal of human hypertension2022

Blood pressure categories defined by the 2017 ACC/AHA guideline and all-cause mortality: a national cohort study in China and meta-analysis.

Jiaxiang Wang, Jieyu Liu, Haoyue Teng, Yushan Zhang, Xingxuan Dong, Wei Chen, Jieyun Yin

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of human hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Jiaxiang Wang *Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
Jieyu Liu *Department of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
Haoyue TengDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
Yushan ZhangDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
Xingxuan DongDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China.
Wei ChenZhuhai Center for Chronic Disease Control, Zhuhai, Guangdong, China. sijiayi129@163.com.ORCID http://orcid.org/0000-0003-2039-9066
Jieyun YinDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China. jyyin@suda.edu.cn.ORCID http://orcid.org/0000-0002-5265-3930
Soochow University · CNZhuhai People's Hospital · CN

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

The 2017 American College of Cardiology/American Heart Association guideline recommends a lowered threshold for hypertension diagnosis. Nonetheless, the association of blood pressure (BP) groups defined by the new guideline and all-cause mortality has not been fully estimated, especially in general Chinese. Based on the China Health and Retirement Longitudinal Study (CHARLS) during 2011-2018, 12,964 participants aged 45 years or older at baseline were enrolled for a follow-up of 7 years. Cox proportional hazards models were used to examine the relationship of BP classifications with all-cause mortality, with normal BP (<120/80 mmHg) as a reference. Afterwards, eligible studies shed light in this field were searched in public databases, and meta-analysis was conducted. In CHARLS, there were 41.21% and 16.08% individuals with stage 2 hypertension and stage 1 hypertension, respectively. During the follow-up, 1293 death occurred. The redefined stage 1 (130-139/80-89 mmHg) and stage 2 hypertension (≥140/≥90 mmHg) were found to have increased risk of death in the crude model, but only stage 2 hypertension maintained statistically significance after adjustment. Furthermore, meta-analysis including CHARLS and nine other prospective studies, with a total of 290,609 participants followed up for 3,081,532 person-years, resulted in similar results (combined hazard ratio (95% confidence interval) was 1.07 (0.99-1.15) for stage 1 hypertension, and 1.39 (1.25-1.53) for stage 2 hypertension). The present study detected that individuals with stage 2 and stage 1 hypertension had increased likelihood to die from any cause, but only the former association achieved statistically significance. Further cohorts with long-term follow-up duration are warranted, especially in China.

Indexed as

HypertensionMortalityAmerican Heart AssociationBlood PressureChinaHumansLongitudinal StudiesMiddle AgedProportional Hazards ModelsUnited States

Identifiers

PMID33589762
OpenAlexW3131369405

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.