Evidence map›Paper›PMID 32102826›Full record

ArticleBMJ open2020

Association between blood pressure levels and cardiovascular deaths: a 20-year follow-up study in rural China.

Mengying Wang, Tao Wu, Canqing Yu, Wenjing Gao, Jun Lv, Yiqun Wu, Xueying Qin, Xun Tang, Pei Gao, Siyan Zhan and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. [Association between indicators of arterial stiffness and all-cause mortality and cardiovascular deaths: A prospective cohort study].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

16 authors at 1 institution in 1 country.

Mengying WangEpidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0003-0162-5355
Tao WuEpidemiology and Biostatistics, Peking University, Beijing, China twu@bjmu.edu.cn.
Canqing YuEpidemiology and Biostatistics, Peking University, Beijing, China.
Wenjing GaoEpidemiology and Biostatistics, Peking University, Beijing, China.
Jun LvEpidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0001-7916-3870
Yiqun WuEpidemiology and Biostatistics, Peking University, Beijing, China.
Xueying QinEpidemiology and Biostatistics, Peking University, Beijing, China.
Xun TangEpidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0002-6990-0168
Pei GaoEpidemiology and Biostatistics, Peking University, Beijing, China.
Siyan ZhanEpidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0001-7252-5349
Weihua CaoEpidemiology and Biostatistics, Peking University, Beijing, China.
Qingshui ZhaoGeneral Office, Fangshan District Health Commission, Beijing, China.
Shaoping HuangGeneral Office, Fangshan District Health Commission, Beijing, China.
Dongli YangGeneral Office, Fangshan District Health Commission, Beijing, China.
Liming LiEpidemiology and Biostatistics, Peking University, Beijing, China.
Yonghua HuEpidemiology and Biostatistics, Peking University, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe 2017 American College of Cardiology/American Heart Association (ACC/AHA) hypertension guideline recommended 130/80 mm Hg as blood pressure (BP) target goals. However, the generalisability of this recommendation to populations at large with hypertension remains controversial. We assessed the association between BP and cardiovascular diseases (CVDs) mortality using a 20-year follow-up study among Chinese populations.

designProspective cohort study.

participants7314 participants were followed up for a median of 20 years in Fangshan District, Beijing, China.

methodsThe primary outcome variable was death from cardiovascular causes. The adjusted HR for CVDs mortality associated with baseline BP was calculated using Cox regression analysis.

resultsWe identified 350 deaths from CVDs (148 stroke, 113 coronary heart disease and 89 other CVDs) during follow-up. Hypertension (defined by systolic BP (SBP)/diastolic BP (DBP) ≥140/90 mm Hg) was significantly associated with mortality due to CVDs (HR=2.49, 95% CI=1.77 to 3.50) among people aged 35-59 years rather than people aged ≥60 years. In addition, there was no significant association between stage 1 hypertension defined by the 2017 ACC/AHA (SBP/DBP of 130-139/80-89 mm Hg) and CVDs mortality when compared with SBP/DBP of <120/80 in neither the participants aged <60 years (HR=0.90, 95% CI=0.54 to 1.50) nor participants aged ≥60 years (HR=1.47, 95% CI=0.94 to 2.29).

conclusionThe study revealed hypertension of SBP/DBP≥140/90 mm Hg was an important risk factor of CVDs mortality, especially among people aged 35-59 years. However, stage 1 hypertension under the definition of 2017 ACC/AHA was not associated with an increased risk of CVDs mortality. This study indicated that whether adopting the new hypertension definition needs further consideration in rural Chinese populations.

Indexed as

AdultAgedAged, 80 and overBlood Pressure DeterminationChinaCoronary DiseaseFemaleFollow-Up StudiesHumansHypertensionMaleMiddle AgedMultivariate AnalysisProspective StudiesRisk FactorsRural Healthcoronary heart diseasehypertensionstroke

Identifiers

PMID32102826
PMCPMC7045167
OpenAlexW3008164591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.