Evidence map›Paper›PMID 34040947›Full record

ArticleGlobal heart2021

The Rates and the Determinants of Hypertension According to the 2017 Definition of Hypertension by ACC/AHA and 2014 Evidence-Based Guidelines Among Population Aged ≥40 Years Old.

Wenzhen Li, Dajie Chen, Shuai Liu, Xiaojun Wang, Xiaojie Chen, Jiafeng Chen, Jing Ma, Fujian Song, Hui Li, Shijiao Yan and 9 more

Abstract read
In one paragraph

Article in Global heart, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

19 authors.

Wenzhen LiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Dajie ChenDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Shuai LiuHealth and Family Planning Commission of Wuhan Municipality, Wuhan, CN.
Xiaojun WangDepartment of Tuberculosis Prevention, Wuhan Tuberculosis Institution, Wuhan, CN.
Xiaojie ChenChina Urban Construction Design and Research Institute, Beijing, CN.
Jiafeng ChenDepartment of Software Engineering, School of Cyber Science and Engineering, Wuhan University, Wuhan, CN.
Jing MaDepartment of Population Medicine, Harvard Medical School, Harvard University, Boston, MA, US.
Fujian SongDepartment of Population Health and Primary Care, Norwich Medical School, University of East Anglia, Norwich, GB.
Hui LiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Shijiao YanSchool of International Education, Hainan Medical University, Haikou, CN.
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Shiyi CaoDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Junan LiuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.
Wei YueNeurology Department, Tianjin Huanhu Hospital, Tianjin, CN.
Feng YanXuanwu Hospital, Capital Medical University, Beijing, CN.
Chuanzhu LvEmergency and Trauma College, Hainan Medical University, Haikou, Hainan, CN.
Zhihong WangShenzhen NO.2 People's Hospital, Shenzhen University, Shenzhen, CN.
Zuxun LuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, CN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In November 2017, the American College of Cardiology/American Heart Association (ACC/AHA) updated their definition of hypertension from 140/90 mm Hg to 130/80 mm Hg. Objectives: We sought to assess the situation of hypertension and the impact of applying the new threshold to a geographically and ethnically diverse population. Methods: We analyzed selected data on 237,142 participants aged ≥40 who had blood pressure taken for the 2014 China National Stroke Screening and Prevention Project. Choropleth maps and logistic regression analyses were performed to estimate the prevalence, geographical distribution and risk factors of hypertension using both 2017 ACC/AHA guidelines and 2014 evidence-based guidelines. Results: The present cross-sectional study showed the age- and sex-standardized prevalence of hypertension was 37.08% and 58.52%, respectively, according to 2014 evidence-based guidelines and 2017 ACC/AHA guidelines. The distribution of hypertension and risk factors changed little between guidelines, with data showing a high prevalence of hypertension around Bohai Gulf and in south central coastal areas using either definition. The age- and sex-standardized prevalence of newly labeled as hypertensive was 21.44%. Interestingly, the high prevalence region of newly labeled as hypertensive was found in the north China. Conclusion: The prevalence of hypertension increased significantly on 2017 ACC/AHA guidelines compared to the prevalence when using 2014 evidence-based guidelines, with high prevalence areas of newly labeled as hypertensive now seen mainly in north China. There need to be correspondingly robust efforts to improve health education, health management, and behavioral and lifestyle interventions in the north.

Indexed as

HypertensionAdultAmerican Heart AssociationBlood PressureCross-Sectional StudiesHumansPrevalenceRisk FactorsUnited States2017 AHA/ACC guidelinesgeographical distributionhypertension burdenhypertension prevalencerisk factors

Identifiers

PMID34040947
PMCPMC8103848

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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.