Evidence map›Paper›PMID 36115666›Full record

ArticleBMJ open2022

Prevalence of isolated diastolic hypertension and the risk of cardiovascular mortality among adults aged 40 years and older in northeast China: a prospective cohort study.

Ling Yue, Hongyun Chen, Qun Sun, Lei Shi, Jixu Sun, Guangxiao Li, Liying Xing, Shuang Liu

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. 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
1.0field-weighted citation impact, top 23% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Isolated diastolic hypertension and cardiovascular outcomes across different diagnostic guidelines: a systematic review and meta-analysis.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    Review
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

8 authors at 5 institutions in 1 country.

Ling YueDepartment of Ultrasound, The Fourth Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Hongyun ChenDepartment of Cardiology, Dalian Municipal Central Hospital, Dalian, Liaoning, People's Republic of China.
Qun SunDepartment of Chronic Disease, Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, People's Republic of China.
Lei ShiDepartment of Chronic Disease, Disease Control and Prevention of Liao Yang City, Liaoyang, Liaoning, People's Republic of China.
Jixu SunDepartment of Chronic Disease, Disease Control and Prevention of Dan Dong City, Dandong, Liaoning, People's Republic of China.
Guangxiao LiDepartment of Medical Record Management Center, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.ORCID 0000-0003-0318-3490
Liying XingDepartment of Chronic Disease Preventive and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China liushuang027104@163.com xly1983sy@163.com.
Shuang LiuDepartment of Ultrasound, The Fourth Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China liushuang027104@163.com xly1983sy@163.com.ORCID 0000-0002-8495-5562
Fourth Affiliated Hospital of China Medical University · CNBeijing Chaoyang Emergency Medical Center · CNDalian Municipal Central Hospital · CNFirst Hospital of 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

objectivesLittle is known about the prevalence and impact of isolated diastolic hypertension (IDH) in northeast China. We aimed to investigate the current epidemiology of IDH and to illustrate whether IDH accounted for cardiovascular disease (CVD) mortality.

designA prospective cohort study.

settingA population-based study carried out in northeast China.

participantsWe built a community-based study of 18 796 residents aged ≥40 years who were living in northeast China with blood pressure measurements between September 2017 and March 2019. OUTCOME MEASURES: Information on CVD death was obtained from baseline until 31 July 2021. IDH was defined as a diastolic blood pressure ≥90 mm Hg together with systolic blood pressure <140 mm Hg among hypertensive population.

resultsThe overall prevalence of IDH was 3.9%, which decreased significantly with advancing age (p<0.001) and ranged from 7.2% (95% CI: 6.3% to 8.2%) among participants 40-49 years to 1.5% (95% CI: 1.1% to 2.0%) among participants ≥70 years. Moreover, the IDH prevalence was higher in men than in women (5.2% vs 3.1%, p<0.001). The awareness and treatment rates of IDH were 25.7% and 17.7%, respectively, which were significantly lower than those of patients with non-IDH (50.1% and 21.7%, p=0.009, respectively). During a median follow-up of 3.2 years, 314 subjects died due to CVD (rate 4.84/1000 person-years). IDH and non-IDH were both significantly associated with an increased risk of CVD death (HR: 2.55, 95% CI: 1.35 to 4.82; HR: 2.48, 95% CI: 1.81 to 3.38) when compared with participants with non-hypertension.

conclusionsIDH was mainly prevalent among young and middle-aged populations, and the awareness and treatment rates in IDH were lower than those in non-IDH hypertension. Additionally, IDH and non-IDH were significantly related to an increased risk of CVD mortality. Early management of IDH is urgently required in northeast China.

Indexed as

Cardiovascular DiseasesHypertensionAdultChinaFemaleHumansMaleMiddle AgedPrevalenceProspective StudiesEPIDEMIOLOGYHypertensionPREVENTIVE MEDICINE

Identifiers

PMID36115666
PMCPMC9486366
OpenAlexW4296139684

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.