Evidence map›Paper›PMID 34134467›Full record

ArticleThe Korean journal of internal medicine2021

Clinical features and predictors of masked uncontrolled hypertension from the Korean Ambulatory Blood Pressure Monitoring Registry.

Hyun-Jin Kim, Jeong-Hun Shin, Yonggu Lee, Ju Han Kim, Sun Ho Hwang, Woo Shik Kim, Sungha Park, Sang Jae Rhee, Eun Mi Lee, Sang Hyun Ihm and 2 more

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

12 authors at 8 institutions in 1 country.

Hyun-Jin KimDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Jeong-Hun ShinDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Yonggu LeeDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Ju Han KimDivision of Cardiology, Department of Internal Medicine, Chonnam National University Hospital, Gwangju, Korea.
Sun Ho HwangDivision of Cardiology, Department of Internal Medicine, Gwangju Veterans Hospital, Gwangju, Korea.
Woo Shik KimDivision of Cardiology, Department of Internal Medicine, Kyung Hee University Medical Center, Seoul, Korea.
Sungha ParkDivision of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.
Sang Jae RheeDivision of Cardiology, Department of Internal Medicine, Wonkwang University Hospital, Iksan, Korea.
Eun Mi LeeDivision of Cardiology, Department of Internal Medicine, Wonkwang University Sanbon Hospital, Gunpo, Korea.
Sang Hyun IhmDivision of Cardiology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Wook Bum PyunDivision of Cardiology, Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, Korea.
Jinho ShinDivision of Cardiology, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Hanyang University · KRWonkwang University · KRCatholic University of Korea · KRChonnam National University Hospital · KREwha Womans University · KRKyung Hee University · KRVeterans Health Service Medical Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThe clinical characteristics of patients with masked uncontrolled hypertension (MUCH) have been poorly defined, and few studies have investigated the clinical predictors of MUCH. We investigated the demographic, clinical, and blood pressure (BP) characteristics of patients with MUCH and proposed a prediction model for MUCH in patients with hypertension.

methodsWe analyzed 1,986 subjects who were enrolled in the Korean Ambulatory Blood Pressure Monitoring (Kor-ABP) Registry and taking antihypertensive drugs, and classified them into the controlled hypertension (n = 465) and MUCH (n = 389) groups. MUCH was defined as the presence of a 24-hour ambulatory mean systolic BP ≥ 130 mmHg and/or diastolic BP ≥ 80 mmHg in patients treated with antihypertensive drugs, having normal office BP.

resultsPatients in the MUCH group had significantly worse metabolic profiles and higher office BP, and took significantly fewer antihypertensive drugs compared to those in the controlled hypertension group. Multivariate logistic regression analyses identified high office systolic BP and diastolic BP, prior stroke, dyslipidemia, left ventricular hypertrophy (LVH, ≥ 116 g/m2 for men, and ≥ 96 g/m2 for women), high heart rate (≥ 75 beats/min), and single antihypertensive drug use as independent predictors of MUCH. A prediction model using these predictors showed a high diagnostic accuracy (C-index of 0.839) and goodness-of-fit for the presence of MUCH.

conclusionMUCH is associated with a high-normal increase in office BP and underuse of antihypertensive drugs, as well as dyslipidemia, prior stroke, and LVH, which could underscore achieving optimal BP control. The proposed model accurately predicts MUCH in patients with controlled office BP.

Indexed as

HypertensionMasked HypertensionAntihypertensive AgentsBlood PressureBlood Pressure Monitoring, AmbulatoryFemaleHumansMaleRegistriesRepublic of KoreaAntihypertensive AgentsBlood pressureBlood pressure monitoring, ambulatoryMasked uncontrolled hypertension

Identifiers

PMID34134467
PMCPMC8435491
OpenAlexW3169373526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.