Evidence map›Paper›PMID 34329344›Full record

Trial reportPloS one2021

Association between blood pressure categories and cardiovascular disease mortality in China.

Jie Guo, Jun Lv, Yu Guo, Zheng Bian, Bang Zheng, Man Wu, Ling Yang, Yiping Chen, Jian Su, Jianqiang Zhang and 6 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Risk analysis of blood pressure changes on cardiovascular disease in Chinese population.Journal of clinical hypertension (Greenwich, Conn.) · 2024
    Article
  6. 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
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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.

Jie GuoDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-7916-3870
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Bang ZhengDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Man WuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Ling YangNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5750-6588
Yiping ChenNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom.
Jian SuJiangsu Center for Disease Control and Prevention, Nanjing, China.
Jianqiang ZhangZhouquan Town Health Center, Tongxiang, China.
Jvying YaoGaoqiao Town Health Center, Tongxiang, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.ORCID 0000-0001-5530-1343
Zhengming ChenNuffield Department of Population Health, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, United Kingdom.
Canqing YuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-0019-0014
Liming LiDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
China Kadoorie Biobank Collaborative Group

Funding

Cancer Research UK 16896Cancer Research UK 29186Medical Research Council MC_PC_13049Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundBlood pressure (BP) categories are useful to simplify preventions in public health, and diagnostic and treatment approaches in clinical practice. Updated evidence about the associations of BP categories with cardiovascular diseases (CVDs) and its subtypes is warranted. METHODS AND

findingsAbout 0.5 million adults aged 30 to 79 years were recruited from 10 areas in China during 2004-2008. The present study included 430 977 participants without antihypertension treatment, cancer, or CVD at baseline. BP was measured at least twice in a single visit at baseline and CVD deaths during follow-up were collected via registries and the national health insurance databases. Multivariable Cox regression was used to estimate the associations between BP categories and CVD mortality. Overall, 16.3% had prehypertension-low, 25.1% had prehypertension-high, 14.1% had isolated systolic hypertension (ISH), 1.9% had isolated diastolic hypertension (IDH), and 9.1% had systolic-diastolic hypertension (SDH). During a median 10-year follow-up, 9660 CVD deaths were documented. Compared with normal, the hazard ratios (95% CI) of prehypertension-low, prehypertension-high, ISH, IDH, SDH for CVD were 1.10 (1.01-1.19), 1.32 (1.23-1.42), 2.04 (1.91-2.19), 2.20 (1.85-2.61), and 3.81 (3.54-4.09), respectively. All hypertension subtypes were related to the increased risk of CVD subtypes, with a stronger association for hemorrhagic stroke than for ischemic heart disease. The associations were stronger in younger than older adults.

conclusionsPrehypertension-high should be considered in CVD primary prevention given its high prevalence and increased CVD risk. All hypertension subtypes were independently associated with CVD and its subtypes mortality, though the strength of associations varied substantially.

Indexed as

Blood PressureHemorrhagic StrokeHypertensionMyocardial IschemiaAdultAgedAge FactorsChinaDisease-Free SurvivalFemaleFollow-Up StudiesHumansMaleMiddle AgedSurvival Rate

Identifiers

PMID34329344
PMCPMC8323908

What OpenQuestion holds

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LicenceCC BY
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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.