Evidence map›Paper›PMID 28167816›Full record

ArticleScientific reports2017

Predictive Value of Cumulative Blood Pressure for All-Cause Mortality and Cardiovascular Events.

Yan Xiu Wang, Lu Song, Ai Jun Xing, Ming Gao, Hai Yan Zhao, Chun Hui Li, Hua Ling Zhao, Shuo Hua Chen, Cheng Zhi Lu, Shou Ling Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 41 citations in OpenAlex.

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  13. Nature-Based Interventions for Psychological Wellbeing in Long-Term Conditions: A Systematic Review.International journal of environmental research and public health · 2022
    Review
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  19. Article
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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

10 authors at 2 institutions in 1 country.

Yan Xiu WangDepartment of Cardiology, Tianjin First Center Hospital, Clinical Medical College of Tianjin Medical University, Tianjin, China.
Lu SongDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Ai Jun XingDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Ming GaoDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Hai Yan ZhaoDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Chun Hui LiDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Hua Ling ZhaoDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Shuo Hua ChenDepartment of Health Care Center, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
Cheng Zhi LuDepartment of Cardiology, Tianjin First Center Hospital, Clinical Medical College of Tianjin Medical University, Tianjin, China.
Shou Ling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
North China University of Science and Technology · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The predictive value of cumulative blood pressure (BP) on all-cause mortality and cardiovascular and cerebrovascular events (CCE) has hardly been studied. In this prospective cohort study including 52,385 participants from the Kailuan Group who attended three medical examinations and without CCE, the impact of cumulative systolic BP (cumSBP) and cumulative diastolic BP (cumDBP) on all-cause mortality and CCEs was investigated. For the study population, the mean (standard deviation) age was 48.82 (11.77) years of which 40,141 (76.6%) were male. The follow-up for all-cause mortality and CCEs was 3.96 (0.48) and 2.98 (0.41) years, respectively. Multivariate Cox proportional hazards regression analysis showed that for every 10 mm Hg·year increase in cumSBP and 5 mm Hg·year increase in cumDBP, the hazard ratio for all-cause mortality were 1.013 (1.006, 1.021) and 1.012 (1.006, 1.018); for CCEs, 1.018 (1.010, 1.027) and 1.017 (1.010, 1.024); for stroke, 1.021 (1.011, 1.031) and 1.018 (1.010, 1.026); and for MI, 1.013 (0.996, 1.030) and 1.015 (1.000, 1.029). Using natural spline function analysis, cumSBP and cumDBP showed a J-curve relationship with CCEs; and a U-curve relationship with stroke (ischemic stroke and hemorrhagic stroke). Therefore, increases in cumSBP and cumDBP were predictive for all-cause mortality, CCEs, and stroke.

Indexed as

Blood PressureAdultCardiovascular DiseasesCase-Control StudiesCause of DeathFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsSurvival Rate

Identifiers

PMID28167816
PMCPMC5294637
OpenAlexW2586320696

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.