Evidence map›Paper›PMID 31415360›Full record

ArticleMedicine2019

The effects of blood pressure components on cardiovascular events in a Korean hypertensive population according to age and sex: A nationwide population-based cohort study.

Eungyu Kang, Seulbi Lee, Eunhee Ha, Hyung Jung Oh, Dong-Ryeol Ryu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Eungyu KangDepartment of Internal Medicine.
Seulbi LeeDepartment of Medical Science.
Eunhee HaDepartment of Preventive Medicine, School of Medicine, Ewha Womans University.
Hyung Jung OhResearch Institute for Human Health Information.
Dong-Ryeol RyuDepartment of Internal Medicine.
Ewha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no known study regarding the usefulness of each blood pressure (BP) component based on stratification by age and sex for predicting cardiovascular (CV) events among hypertensive populations without chronic kidney disease (CKD) or diabetes mellitus (DM). This study was performed to investigate the association of BP components and CV events in a Korean hypertensive population according to age and sex. A total of 22,853 Korean hypertensive participants without CKD and DM were stratified into six groups according to age [40-49, 50-59, and 60 years or older] and sex. In each group, multivariate Cox proportional regression analysis was performed to reveal the associations of BP components [systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP)] with CV events. The increase in PP and decrease in DBP were significantly associated with increase of CV events in males, but neither BP component was significantly associated with risk of CV events in females. When subjects were stratified by age and sex, an increase of SBP or PP was significantly related to the increased risk of CV events in 40's male group, and only the elevation of PP was significantly associated with increase in incidence of CV events in 50's male group, while a decrease in DBP was significantly associated with increased risk of CV events in older male group. In addition, there were no the significant associations with the incidence of CV events in MAP, after stratification according to age and sex. In conclusion, this study suggests that, in hypertensive populations, BP management may need to be performed after full consideration of age and sex.

Indexed as

Age FactorsBlood PressureSex FactorsAdultAge DistributionCardiovascular DiseasesCohort StudiesFemaleHumansHypertensionMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsRepublic of KoreaRisk Factors

Identifiers

PMID31415360
PMCPMC6831221
OpenAlexW2967678830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.