Evidence map›Paper›PMID 36514267›Full record

ArticleThe Korean journal of internal medicine2023

Long-term cardiovascular events in hypertensive patients: full report of the Korean Hypertension Cohort.

Jin Young Lee, Jean Kyung Bak, Mina Kim, Ho-Gyun Shin, Kyun-Ik Park, Seung-Pyo Lee, Hee-Sun Lee, Ju-Yeun Lee, Kwang-Il Kim, Si-Hyuck Kang and 8 more

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 1 country.

Jin Young LeeDepartment of Applied Statistics, Chung-Ang University, Seoul, Korea.
Jean Kyung BakNational Evidence-based Healthcare Collaborating Agency (NECA), Seoul, Korea.
Mina KimDepartment of Applied Statistics, Chung-Ang University, Seoul, Korea.
Ho-Gyun ShinNational Evidence-based Healthcare Collaborating Agency (NECA), Seoul, Korea.
Kyun-Ik ParkNational Evidence-based Healthcare Collaborating Agency (NECA), Seoul, Korea.
Seung-Pyo LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Hee-Sun LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Ju-Yeun LeeCollege of Pharmacy, Seoul National University, Seoul, Korea.
Kwang-Il KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Si-Hyuck KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Jang Hoon LeeDepartment of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.
Se Yong JangDepartment of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.
Ju-Hee LeeDivision of Cardiology, Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea.
Kye Hun KimDepartment of Cardiovascular Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea.
Jae Yeong ChoDepartment of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
Jae-Hyeong ParkDepartment of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Hae-Young LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Seoul National University · KRNational Evidenc- based healthcare Collaborating Agency · KRChungnam National University · KRChung-Ang University · KRKyungpook National University Hospital · KR

Funding

Korean Society of HypertensionMinistry of Health and Welfare NA20-001National Evidence-based Healthcare Collaborating Agency
6 · The paper itself

Abstract

BACKGROUND/

aimsThis study evaluated the long-term cardiovascular complications among Korean patients with hypertension and compared them with that of controls without hypertension.

methodsThe Korean Hypertension Cohort (KHC) enrolled 11,043 patients with hypertension and followed them for more than 10 years. Age- and sex-matched controls without hypertension were enrolled at a 1:10 ratio. We compared the incidence of cardiovascular events and death among patients and controls without hypertension.

resultsThe mean age was 59 years, and 34.8% and 16.5% of the patients belonged to the high and moderate cardiovascular risk groups, respectively. During the 10-year follow-up, 1,591 cardiovascular events (14.4%) with 588 deaths (5.3%) occurred among patients with hypertension and 7,635 cardiovascular events (6.9%) with 4,826 deaths (4.4%) occurred among controls. Even the low-risk population with hypertension showed a higher cardiovascular event rate than the population without hypertension. Although blood pressure measurements in the clinic showed remarkable inaccuracy compared with those measured in the national health examinations, systolic blood pressure (SBP) ≥ 150 mmHg was significantly associated with a higher risk of cardiovascular events.

conclusionThis long-term follow-up study confirmed the cardiovascular event rates among Korean hypertensive patients were substantial, reaching 15% in 10 years. SBP levels ≥ 150 mmHg were highly associated with occurrence of cardiovascular event rates.

Indexed as

Cardiovascular DiseasesHypertensionBlood PressureFollow-Up StudiesHumansMiddle AgedRepublic of KoreaRisk FactorsBlood pressureCardiovascular diseasesHypertension

Identifiers

PMID36514267
PMCPMC9816676
OpenAlexW4311329524

What OpenQuestion holds

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LicenceCC BY-NC
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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.